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Liquid biopsy in cancer: current status, challenges and future prospects

Liwei Ma, Huiling Guo, Yunxiang Zhao and 5 more

Signal Transduction and Targeted Therapy · 2024 · Review · CC BY

doi:10.1038/s41392-024-02021-w

Abstract

Cancer has a high mortality rate across the globe, and tissue biopsy remains the gold standard for tumor diagnosis due to its high level of laboratory standardization, good consistency of results, relatively stable samples, and high accuracy of results. However, there are still many limitations and drawbacks in the application of tissue biopsy in tumor. The emergence of liquid biopsy provides new ideas for early diagnosis and prognosis of tumor. Compared with tissue biopsy, liquid biopsy has many advantages in the diagnosis and treatment of various types of cancer, including non-invasive, quickly and so on. Currently, the application of liquid biopsy in tumor detection has received widely attention. It is now undergoing rapid progress, and it holds significant potential for future applications. Around now, liquid biopsies encompass several components such as circulating tumor cells, circulating tumor DNA, exosomes, microRNA, circulating RNA, tumor platelets, and tumor endothelial cells. In addition, advances in the identification of liquid biopsy indicators have significantly enhanced the possibility of utilizing liquid biopsies in clinical settings. In this review, we will discuss the application, advantages and challenges of liquid biopsy in some common tumors from the perspective of diverse systems of tumors, and look forward to its future development prospects in the field of cancer diagnosis and treatment.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 20, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction

Cancer is the second major cause of death in the world and is a major worldwide public health problem. Early detection and appropriate therapy are crucial for cancer patients to enhance their prognosis and enhance their chances of survival. Currently, the golden standard for tumor diagnosis is still tissue biopsy. Although tissue biopsy can definitively diagnose tumors and their subtypes, tissue biopsy is difficult to collect and, as an invasive test, it is prone to cause damage to patients and is not convenient for continuous monitoring of the disease progression. As tumors are sometimes hard to detect early, it is difficult to use tissue biopsies to accurately detect tumors at an early stage in the diseases.

Liquid biopsy is a mini-invasive sample collection method that focuses on blood or body secretions for the detection of molecular alterations, tumor cells, and metabolites., Compared to tissue biopsies, liquid biopsies provide a role in early screening. Common specimens for liquid biopsy are blood and urine. Therefore, liquid biopsies are easier to perform than tissue biopsies and are virtually non-invasive to the patient,, which makes liquid biopsies have the potential for continuous monitoring of tumor progression. Several molecular markers can be detected by liquid biopsy, such as circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), tumor-derived extracellular vesicles (EVs), tumor-educated platelets (TEPs), and circulating free RNA (cfRNA)., Currently, more studies focus on the detection of CTCs, ctDNA and exosomes. In this paper, we will introduce various liquid biopsy molecular markers and summarize the current applications of liquid biopsy in various tumor systems from different systems.

The research history of liquid biopsy

The development of liquid biopsy has gone through four main phases: the period of scientific exploration (before the 1990s), the period of scientific development (1990s), the period of industrial growth (2000–2010), and the period of industrial outbreak (2010-present) (Fig. 1).

During the period of scientific exploration, several scholars have discovered the existence of CTCs, cfDNA and extracellular vehicles (EVs). In 1869, Australian physician Thomas Ashworth found cells similar to tumor cells in the blood of a recently deceased tumor patient. In 1948, Mandel and Metais made the groundbreaking discovery of the existence of unbound nucleic acid molecules in plasma. In 1967, Wolf obtained the first electron micrographs of EVs. In 1983, Stahl and Johnstone’s laboratory suggested that exosomes are discharged from EVs that had merged with the cell membrane through multivesicular structures. In addition, a study conducted by Leon et al. in 1977 revealed that levels of plasma free DNA were much elevated in individuals with tumors compared to those in the healthy population. This led to the hypothesis that free DNA is linked to the presence of tumors. In the period of scientific progress, CTC was initially isolated from blood in 1998 and was proven to correlate with pathologic staging, and it has only since been employed in the clinic. Additionally, in 1994, PCR was used to identify the first KRAS mutation in pancreatic cancer patients’ blood cfDNA, and the results were consistent with those found in tumor tissue. In 1996, Raposo provided evidence that EVs possess biological activity. It has been discovered that immune cells’ EVs can present antigens. Liquid biopsy indicators were discovered to be useful in the diagnosis of a variety of cancers during this time of industrial expansion. In patients with metastatic breast cancer, the quantity of CTCs prior to therapy was found to be an independent predictor of both overall survival and progression-free survival in 2005. Diehl F. et al. followed up on the ctDNA of 18 patients with bowel cancer in 2008 and used the BEAMing technique to identify hotspot mutations in genes like TP53, APC, KRAS, and PIK3CA. They discovered that the rate of ctDNA mutations changed over the course of treatment and that the trend of the change was positively correlated with both the tumor load and the CEA concentration. Several liquid biopsy markers were included into oncology guidelines and given the go-ahead for clinical use during the industrial boom. The use of ctDNA to identify EGFR mutations for concurrent Erizar diagnosis was authorized by the European Medicines Agency (EMA) in 2014, hence initiating the official clinical usage of ctDNA. According to the 2015 Chinese Expert Consensus on Blood EGFR Gene Mutation Testing in Non-Small Cell Lung Cancer (NSCLC), which was published in the Chinese Medical Journal, ctDNA from the blood (plasma) specimen can be used for evaluation if the tumor specimen cannot be assessed for EGFR gene status. And the use of CTC testing for prognostic assessment in breast cancer was addressed by AJCC recommendations in 2018. In 2019, CTC was included into the 2019 CSCO Breast Cancer Treatment Guidelines. More recently, in 2023, CTC entered the Chinese Technical Guidelines for Integrated Cancer Therapy (CACA).

Molecular markers of liquid biopsy

In this section we focus on several liquid biopsy biomarkers currently in use (Fig. 2). And summarizes the comparison of different liquid biopsy markers (Tables 1–5).

Circulating tumor cells (CTCs)

In 1869, Ashworth et al. first reported CTCs in the circulation of patients, which laid an important foundation for the study of CTCs. CTCs are cells released from primary and metastatic tumors that are shed into the blood or lymphatic vessels of cancer patients and circulate in the peripheral blood (Fig. 3). Although the proportion of CTCs in the blood is low, almost 1 CTCs is found per 1 million leukocytes, and most CTCs die in the peripheral blood in 1–2.5 h., However, in recent years, a large number of studies have demonstrated that the level of CTCs is associated with cancer development, especially playing an important role in the metastatic process of cancer, and these confirm that CTCs are an important biomarker. Therefore, CTCs have the potential to become an effective tool for cancer diagnosis, providing information for clinical decision-making and clinical research., A key challenge currently faced is how to isolate and collect CTCs more accurately, and the rapid development of technology has further facilitated the clinical application of CTCs. With technological advances and innovations, CTCs counts are associated with tumor status and higher accuracy. Studies have shown that higher levels of CTCs counts are associated with reduced progression-free survival and overall survival., For example, in 2014, Ramirez et al. demonstrated that in blood samples from breast cancer patients, an increased count of CTCs was found to be associated with a significant reduction in progression-free survival. As a result, the detection of CTCs has gained increasing attention as one of the important biomarkers for liquid biopsy. Due to the extremely low number of CTCs, it is high sensitivity advanced techniques to efficiently capture and detect CTCs that are necessary. Currently, methods used for the detection or isolation of CTCs are constantly being improved and have greatly increased in complexity and sensitivity. There are traditional methods such as density gradient centrifugation, inertial focusing, and filtration based on biophysical properties such as size, deformability, etc.. There are also methods for the detection of cells by the expression of specific markers, epithelial cell adhesion molecule (EpCAM), vimentin, and N-cadherin, such as EpCAM enrichment, immunomagnetic separation, and microfluidic devices. Among them, the CellSearch® method is currently the only method authorized by the FDA to monitor the number of CTCs in blood samples. Even though these methods have a variety of shortcomings (Table 1), they have played a significant role in promoting research on the detection and clinical value of CTCs. CTCs, as an almost noninvasive test, will play an increasingly important value in the diagnosis, detection, and prognosis of tumors in the future.

Circulating tumor DNA (ctDNA)

Circulating tumor DNA (ctDNA) can be extracted from the bloodstream and originates from the tumor. It is a type of circulating extracellular nucleic acids (cfDNA). CfDNA is primarily derived from normal leukocytes and stromal cells. However, in 1977, Leon et al. found that plasma-free DNA levels were significantly higher in patients with advanced tumors than in healthy individuals suggesting that cfDNA may also be derived from tumor cells. CtDNA only accounts for a small fraction of cfDNA, approximately 0.1–1.0% of its total (Fig. 4).

Similar to CTCs, ctDNA has traditionally been obtained from blood, but ctDNA can also be isolated by obtaining ascites, pleural fluid, urine, and cerebrospinal fluid (CSF). CfDNA is primarily derived from normal leukocytes and stromal cells, and ctDNA can dynamically respond to the state of the tumor at a given point in time. Compared with cfDNA, it has been shown that ctDNA base fragments in cancer patients are shorter than cfDNA, which is about 20–50 base pairs, making it less affected by intra-tumor heterogeneity. On the other hand, ctDNA has a shorter half-life, which is a prerequisite for its ability to be used as a real-time tumor biomarker, and it is these two characteristics of ctDNA that give it a distinct advantage when compared with traditional biopsy markers. The prognostic significance of ctDNA in cancer progression and its response to treatment has been described in recent years., It has been found that ctDNA levels are elevated in the serum of patients with pancreatic cancer (PC) and appear to decrease after treatment. In addition, the current clinical application often detects the mutation of target genes within ctDNA, for example, Diehl F and his team analyzed the serum ctDNA of 18 colorectal cancer patients and found hotspot mutated genes, such as APC, KRAS, TP53, and PIK3CA. And the mutation rate of ctDNA is related to its therapeutic process. Gene mutation can often trigger the imbalance of oncogenes and oncogenes, and then lead to cancer, so the mutation detection of ctDNA is of great significance for cancer detection. Abnormal DNA methylation also plays a key role in cancer development. In many tumors, an imbalance in DNA methylation usually precedes tumor formation and contributes to the early diagnosis of tumors. The detection of ctDNA has become increasingly sophisticated with technological advances, such as real-time quantitative polymerase chain reaction, digital droplet PCR (ddPCR), sanger sequencing, and next-generation sequencing (NGS).– In the future, ctDNA assays will be widely used in new therapies to appropriately monitor the dynamics of tumor load and the cancer progression or prognosis.

Exosomes

In 1987, Johnstone first named the vesicles released by sheep reticulocytes as exosomes. Exosomes are a subtype of extracellular vesicles that originate from endosomes produced by trap buds in the membranes of multivesicular bodies and are released outside the cell after the fusion of multivesicular endosomes with the cell membrane (Fig. 5). The other two major subtypes of extracellular vesicles are microvesicles and apoptotic vesicles whose categorization is based primarily on size and cellular origin. The three main subtypes of exosomes have received much attention in recent years. Exosomes can be detected in blood, saliva, urine, and other fluids, engaging in a variety of biological processes such as molecular transport, intercellular communication, and immune responses. In addition, it has been found that exosomes are key components of the tumor microenvironment and play an important role in cancer progression. While exosomes have unique advantages in the field of liquid biopsy, on the one hand, they are well stabilized, and on the other hand, they are more representative in describing the information of tumor cells. In recent years, exosomal products, such as nucleic acids, proteins, lipids, and metabolites have gradually become a focus of research in the field of cancer, for example, exosomal non-coding RNAs (ncRNAs) have been shown to provide important reference value in the diagnosis and treatment of cancer patients. The upregulation of exosomes miR-1246, miR-4644, miR-3976, and miR-4306 can be used as highly sensitive biomarkers in prostate cancer patients. In addition, exosomal lncRNA H19 was found to be upregulated in serum expression in bladder cancer patients, suggesting that exosomal lncRNAs have a potential role as important diagnostic markers. Due to their unusually large variety and number, exosomal proteins have also received extensive attention in recent years. Exosomal proteins have a regulatory role in the formation of the cancer microenvironment, tumor progression, and metastasis., In addition, exosomal proteins can also mediate chemoresistance in cancer treatment, and a recent study showed that plasma gelatin (pGSN), an isoform of GSN protein secreted by chemoresistant ovarian cancer cells, can be delivered to exosomes and activate α5β1 integrin. This leads to an increase in hypoxia-inducible factor 1 subunit α, which in turn promotes chemoresistance and survival of ovarian cancer cells. In view of the fact that exosomes are one of the markers of a liquid biopsy and their important clinical applications, it is particularly important to isolate and detect them efficiently and accurately. In recent years, such approaches as Reverse Transcription-Polymerase Chain Reaction (RT-PCR), genome sequencing, and proteomics are often available for the detection of exosomal content., Techniques such as differential ultracentrifugation, size-based separation, immunomagnetic separation, and microfluidics are commonly used for exosome isolation. In the future, with the development of technology and multidisciplinary fusion, exosome, one of the markers of liquid biopsy, will be more closely integrated with clinical applications, especially cancer detection.

Tumor educated-platelets

When it comes to platelets, what often first comes to mind is their hemostatic and thrombotic role, however, the fact is that platelets are gradually being recognized as mediators of malignant disease. As the second most abundant cell in the peripheral blood, they play a role in hematological processes, such as wound healing, atherosclerosis, vascular growth regulation, and angiogenesis. In the 1800s Reiss et al. first reported that high platelet counts were associated with malignancy and that host-tumor interactions activate the coagulation cascade in many types of cancers, and since then, more relevant evidence has suggested a link between platelet counts and cancer., It has been found that platelet deposition is positively correlated with mortality in patients with cancer, and it is considered to be the second most common cause of cancer deaths. In addition, there is a unique type of platelet that is often used as a biomarker for liquid biopsies and has received much attention in recent years. It is a type of platelet that is isolated from tumor patients but exhibits a different RNA and protein profile, named TEPs (Fig. 6). Studies have shown the involvement of TEPs in the progression and spread of a variety of solid tumors. Specifically spliced TEP RNA markers can provide specific information on tumor presence, location, and molecular features, but the exact mechanisms require further research. While there are no present clinical applications for TEPs, numerous studies have explored the potential clinical uses of TEPs, providing valuable insights. Tumor platelets exert a bidirectional influence, causing platelets to consistently absorb proteins, nucleic acids, vesicles, and granules from tumors. This process results in alterations to the RNA and protein expression profiles of the platelets. Platelets possess several advantages as a component of liquid biopsy. They exhibit stability and ease of collection, as they may be readily obtained through low-speed centrifugation. Furthermore, the genetic material contained within platelets is relatively durable. Due to the limited lifespan of platelets, the composition of TEP can accurately indicate the current condition of the tumor, allowing for real-time surveillance of the tumor. Further investigation is required to fully understand the precise mechanism, but the spliced TEP RNA markers have the potential to offer precise details regarding the presence, location, and molecular features of tumors. Present research on platelets in persons with tumors has primarily concentrated on mRNA and lncRNA. Numerous studies have demonstrated the capability of RNA sequencing analysis to distinguish between tumor patients and those who are in good health. In 2022, Ye et al. discovered four specific long-stranded non-coding RNA (lncRNA) markers associated with colorectal cancer (CRC) that are found in platelets. These markers include LNCAROD, SNHG20, LINC00534, and TSPOAP-AS1. The expression levels of these lncRNAs were markedly increased in both platelets and serum samples from individuals diagnosed with colorectal cancer. This finding strongly indicates that these lncRNAs hold promising diagnostic value. A gene expression database specifically designed for platelet-based disease research was established in 2022. We anticipate that this database will significantly enhance the investigation of platelet liquid biopsies. Currently, the understanding of the mechanisms involving platelet RNA is incomplete, and the use of TEPs for tumor treatment is still in the conceptual phase, necessitating further extensive research.

miRNA and lncRNA

Non-coding RNAs are diverse and play different functions and roles from coding RNAs in the cell. Initially, there was little understanding of non-coding RNAs, which had been considered to have a limited impact on tumorigenesis and development and were called spam-free RNAs. In recent years, numerous studies have demonstrated that non-coding RNAs play important roles in the development of different types of cancers. With further research, several non-coding RNAs have been used as biomarkers for liquid biopsies in cancer (Fig. 7).

miRNAs, a small (18–23 nt) single-stranded RNA molecule involved in post-transcriptional gene regulation, belong to the subclass of non-coding RNAs. It reduces the stability of mRNAs and inhibits gene expression by binding to 3′ untranslated region recognition sites. miRNA is the most widely studied factor in cancer research and the most studied ncRNA in liquid biopsies. miR-21 and miR-155 have been found to be up-regulated in a variety of cancers and may be able to become a promising cancer liquid biopsy marker. In recent years, more and more methods have been used for miRNA detection, such as qPCR, hybridization chain reaction, rolling circle amplification, and strand displacement amplification. These methods have greatly aided the study of miRNA, particularly in understanding its two primary features: abundance and tissue stability. These properties could potentially be advantageous in the future for developing non-invasive biomarkers for patients with tumors.

Currently, the second most abundant source of ncRNAs evaluated in cancer liquid biopsies is lncRNAs. lncRNAs are non-protein-coding transcripts more than 200 nt in length, which have a wide range of biological roles. For example, they regulate the transcription of genes, influence miRNA regulation of target genes, and, through their interactions with proteins affect the function and stability of proteins. Some lncRNAs can also regulate the cell cycle, which in turn affects cell proliferation and differentiation. Studies have shown that lncRNAs may be implicated in the development of cancer in relation to their ability to regulate key cancer-associated transcriptional activators. Because of their tissue-specific expression patterns, they may contribute to tumor heterogeneity.

Several known cancer-related lncRNAs are overexpressed in the serum and plasma of cancer patients, enabling them to be promising biomarker candidates for non-invasive diagnosis., For example, it has been found that lncRNA can mediate pancreatic ductal adenocarcinoma (PDAC), which can be used as a liquid biopsy biomarker for PDAC. Hu and his team have found that lncRNA H19 can be used as a potential biomarker for the adjuvant diagnosis of lung cancer, because of its significant elevation in the plasma of patients with lung cancer. Although a large number of lncRNAs have been identified in recent years, the specific functions of some lncRNAs and the role they play in cancer are still unknown, so we need to pay close attention to the study of lncRNAs in the future, to fully evaluate its feasibility and accuracy as a liquid biopsy for cancer. Currently, there are abundant studies on lncRNA-based diagnostic and prognostic models.– For example, one study discovered m6A immune-associated lncRNA risk models that can accurately forecast prognosis, immunological status, and treatment response in bladder cancer. And a study utilized overlapping long non-coding RNAs (lncRNAs) to create a signature of lncRNAs linked with cuproptosis. This signature can be employed to forecast the prognosis and determine the effectiveness of immune checkpoint blockade (ICB) therapy in individuals diagnosed with hepatocellular carcinoma. Despite the lack of clinical studies on the subject, there is no doubt that the modeling of biomarkers using miRNA and lncRNA is a crucial area of development in liquid biopsy.

CircRNA

Circular RNAs (circRNAs) are a distinct type of RNA molecules that possess a distinctive closed loop structure and do not code for proteins (Fig. 7). The initial documentation of circRNAs may be traced back to a 1971 investigation on potato spindle tuber disease. During this study, circRNAs were not yet recognized as a distinct concept, and scientists provisionally referred to them as a “virus-like” RNA with low molecular weight that has the ability to self-replicate. In 1976, Sanger et al. isolated this RNA and subjected it to different nuclease enzymes. They discovered that these RNAs were not easily broken down by most nuclease enzymes, indicating that they likely have a looped structure. This is because looped RNAs lack free ends at the 5′ and 3′ termini, making them less recognizable and degradable by nuclease enzymes. Sanger employed radioactive labeling to directly visualize the closed loop structure of virus-like RNAs. The RNA ends were labeled and it was seen that these ends were not labeled under both in vivo and in vitro circumstances, providing additional confirmation of the circRNA. The investigations conducted by Memczak et al. in 2013 and Hansen et al. in 2013 were significant contributions to the field of cyclic RNA research. These studies systematically have shown the extensive occurrence and significance of cyclic RNAs in human cells and tissues. Presently, scientists have discovered that circRNAs possess a multitude of biological roles, such as acting as miRNA sponges, controlling the splicing of precursor mRNAs, facilitating transcription, regulating their own stability and location through binding to RBPs (RNA-binding proteins), and encoding functional proteins, among others. circRNAs are not directly detectable by selective purification procedures that rely on polyA tails due to their absence of a typical polyA tail. Scientists have utilized several techniques like RT-PCR, RNAseq, northern hybridization, and high-throughput sequencing to detect circRNAs. This was achieved by developing primers that target specific reverse splice sites of circRNAs. Because of the inherent characteristics of circRNA, RNA exonuclease is unable to effectively degrade it, while linear RNA can be selectively broken down by RNA exonuclease for the purpose of enrichment. circRNAs can function as either proto-oncogenes or oncogenes in cancer, depending on the specific pathways they are connected with. One instance is circHIPK3, which can enhance the growth and movement of cancer cells by activating the miR-124/STAT3 pathway. STAT3 is a transcription factor that is linked to multiple oncogenes and the process of cell proliferation. The circHIPK3 molecule indirectly enhances the activation of the STAT3 signaling pathway by preventing the inhibitory effect of miR-124 on STAT3. This, in turn, controls the malignant activity of tumor cells. Studies have demonstrated that the circRNA ITCH functions as an oncogene in multiple types of cancer. The circ-ITCH molecule has the ability to bind to miRNAs, specifically miR-7, miR-17, and miR-214, resulting in an indirect control over the expression of its target genes. These microRNAs (miRNAs) and their target genes potentially play a role in many signaling pathways associated with tumors, including the Wnt/β-catenin system and the PI3K/AKT pathway. Aberrant expression of circ-ITCH can potentially facilitate tumor growth by disrupting the equilibrium of these pathways. It has been discovered that circ-ITCH is down-regulated as an oncogene in ovarian cancer, prostate cancer, glioma, and gastric cancer. To summarize, circRNAs contribute to the development of tumors by facilitating cell proliferation, avoiding growth inhibitors, increasing invasion and metastasis, inducing angiogenesis, disrupting cellular energy regulation, and fostering inflammation.

Technology for the detection of liquid biopsy markers

As previously stated, liquid biopsy markers primarily include CTCs, ctDNA, exosomes, free miRNA, lncRNA, circRNA, proteins, and so on, which are detected in various ways but share some similarities. CTCs detection necessitates enrichment of CTCs, which are subsequently labeled with particular antibodies or fluorescent dyes. These markers can bind to specific antigens on the surface of circulating tumor cells, generating visible fluorescence signals under a microscope. Physical separation methods and antigen–antibody conjugation methods are the most common approaches for enriching CTCs. Traditional physical separation methods involve separating cells based on screening parameters such as cell size, density, or charge. Traditional antigen-antibody binding approaches for identifying CTCs are primarily achieved by the CellSearch system, which is based on the principle of EpCAM to trap tumor cells.– The primary objective of ctDNA detection is to identify specific mutations. Plasma DNA is concentrated and identified by using advanced technologies such as digital PCR (dPCR) and NGS.– The identification of exosomes involves the enrichment of exosomes and subsequent analysis of their constituents. In this context, our primary focus is on the enrichment process. The main techniques employed for this purpose include differential centrifugation, filtration, polymer precipitation, immunomagnetic beads, chromatography (specifically volumetric exclusion chromatography), and the relatively new microfluidic technology., The methods used for RNA detection encompass RNA-FISH, RT-PCR, Northern Blotting, RNA Sequencing, RNA Microarray, In Situ Hybridization, and various other techniques.– Proteins can be identified using western blot and mass spectrometry techniques. The subsequent tables provide a comparison of the principles linked to each technique, as well as their respective benefits and drawbacks (Tables 1–5).

Liquid biopsy in systemic tumors

In this section we summarize the application of liquid biopsy in eight systems of tumors (Fig. 8).

Digestive systems

The digestive system concentrates on the use of liquid biopsy in hepatocellular carcinoma (HCC), cholangiocarcinoma (CCA), CRC, pancreatic cancer (PC) and gastric cancer (GC) (Table 6).

Hepatocellular carcinoma (HCC)

In the diagnosis of HCC, alpha-fetoprotein (AFP) is detected as a classical tumor marker in most patients with HCC, but low expression of AFP in some patients with HCC is detrimental to the detection of HCC by AFP. Because HCC exhibits substantial tumor heterogeneity, neither AFP nor liver biopsy currently fulfills the clinical requirements for early diagnosis or prognosis assessment. Therefore, it is necessary and meaningful to search for alternative ways of detecting HCC.

Several liquid biopsy markers can be used for early diagnosis of hepatocellular carcinoma. On the one hand, it was found to be feasible to co-detect AFP with miRNA, and the diagnostic ability of patients with low AFP expression can be improved (AUC: 0.80, specificity: 95%, accuracy: 81%) by the combined detection of AFP and miRNAs (including miR-221-3p, miR-223-3p, miR-10b5p, and miR-21-5p). On the other hand, searching for other more effective protein markers may be an effective way to improve early diagnostic ability. For example, the exosomal proteins LG3BP and PIGR can promote the transformation, invasion, and proliferation of tumor cells, which are associated with a poor prognosis, and they show greater diagnostic ability as biomarkers compared to AFP., As a marker released into the peripheral blood by tumors, cfDNA is usually not used for screening purposes since there is minimal necrosis of tumor cells in the early stages, and only a small amount of ctDNA is released into the bloodstream. However, a recent study has shown that the methylation properties of ctDNA have great potential in the early diagnosis of tumors. Researchers identified six optimal methylated DNA markers (MDMs), including ECE1, HOXA1, cle11a, AK055957, PFKP, and EMX1, and performed phase I and phase II clinical validation, finding them to be highly AUC (0.96), sensitive (95%) and specific (92%) in the diagnosis of HCC. Expert consensus on early screening strategies for liver cancer in China incorporates cfDNA whole genome sequencing into the whole process of early liver cancer screening. CTCs are malignant cells that undergo epithelial-mesenchymal transition (EMT) in the primary tumor. Qi et al used the CanPatrol™ CTCs enrichment technology in 112 patients with HCC, and the positive rate exceeded 90% even for early-stage disease. In addition to the early diagnosis of tumors, liquid biopsy is also beneficial for patient treatment as well as prognosis. For example, ctDNA, mentioned above, is not only involved in the early diagnosis of tumors but can also be used as an indicator of the efficacy of tumor radiotherapy. Patients with high pre-radiotherapy ctDNA expression tended to have more advanced disease and larger tumors, and after radiotherapy, patients with low ctDNA expression had significantly better prognostic tumor response, intrahepatic non-failure rate, and local control (LC) rate (p = 0.017, p = 0.035, and p = 0.006, respectively). In addition to the detection of the number of CTCs, the form of CTCs is also an important test. It was found that the ratio of mixed CTCs to mesenchymal CTCs can be used to discriminatie metastatic HCC patients with non-metastatic patients (AUC: 0.861). Compared to mixed CTCs, mesenchymal CTCs have a greater potential for invasion and metastasis. Bai et al. found that high expression of the CXCR4 protein was more common in mixed CTCs, which may be associated with CTCs progression and metastasis. And the Guidelines for the Diagnosis and Treatment of Primary Liver Cancer in China suggest that CTCs testing can serve as a novel clinical tool for predicting prognosis and evaluating the effectiveness of treatment for liver cancer. In conclusion, the multiple markers of liquid biopsy can compensate for the inability to detect patients with low AFP expression and play a role in treatment as well as prognosis.

Cholangiocarcinoma (CCA)

The tumor’s stealthy growth seriously jeopardizes their early discovery, preventing patients from accessing potentially curative treatments. Additionally, the patient’s fragile and advanced illness state increases the danger of bleeding and peritoneal seeding, and the tiny amount of tissue retrieved might not be sufficient for confirmation by cytology or histology. For these reasons, liquid biopsy is essential for both the prognosis and diagnosis of cholangiocarcinoma.

The main markers that have been studied in cholangiocarcinoma (CCA) include cfDNA, CTCs, and miRNA. Compared with healthy control specimens, miR-21 and miR-221 showed significant overexpression in the plasma of patients, and higher circulating miR-21 expression was associated with poorer prognosis in ICCA. However, the current study found that high expression of miR-21 and miR-221 was not only detected in CCA but also in HCC and other liver diseases., Therefore, it is possible that the combination of miR-21 and miR-221 with other markers may be useful for the detection of CCA. For example, high levels of cytokeratin-19 (CYFRA 21-1), MMP-7, osteoblasts, periostin, and IL-6 can be detected in the serum of patients with CCA, which may be helpful for further diagnosis of CCA.– In addition to miRNAs, CTCs is an important marker in liquid biopsy of CCA. High expression of CTCs is associated with strong tumor aggressiveness and short survival, and thus evaluation of CTCs may help identify CCA patients at risk of early death. Unlike miRNAs and CTCs, which are detected in blood, cfDNA can be detected in the bile of CCA patients, and tumor recurrence and prognosis can be inferred mainly by detecting single-nucleotide variants, insertions, and deletions of cfDNAs, but not their expression.,

Colorectal cancer (CRC)

Colorectal cancer is a complex illness characterized by numerous genetic or somatic changes, and it is identified in less than half of cases when it is locally advanced. Thus, the implementation of liquid biopsies is necessary to enhance the accuracy of colorectal cancer diagnosis and to forecast the advancement of the disease.

miRNAs have a crucial role in various aspects like tumorigenesis, proliferation, metastasis, and drug resistance in CRC. For example, high expression of miR-193a and miR25-3p, miR-17-5p and miR-92a-3p, miR-21, and miR-203 promotes liver metastasis by inducing vascular permeability/angiogenesis.– Therefore, miRNAs have the potential to serve as an effective liquid biopsy marker. Several scholars have studied miRNAs and found that a variety of miRNAs, such as miR-23a, miR-301a, as well as miR-17-92a and miR-19a, are significantly overexpressed in the blood of tumor-bearing patients and are predictive of early tumorigenesis as well as tumor aggressiveness. Consequently, some miRNAs can distinguish CRC patients from the population and help in the early diagnosis of CRC. As for CTCs, patients with colorectal cancer had higher CTCs counts than those with colorectal polyps (P < 0.001). And CTCs counts were positively correlated with CRC disease stage, with sensitivities ranging from 89 to 97% across the range of disease severity. However, not all liquid biopsy markers are present in the form of high expression in patients’ blood. The exosomal cargo protein QSOX1 is significantly reduced in the blood of tumor patients compared with healthy human controls while Glypican-1 (GPC1) is significantly increased in exosomes, and a series of recent studies have suggested that dysregulation of exosomal proteins could serve as a promising novel biomarker for the early diagnosis and non-invasive risk stratification of CRC. At present the monitoring of single extracellular vesicles (SEV) is also helpful in the diagnosis of colorectal cancer. A study has developed a new sensor that combines a DNA aptamer capable of explicitly binding to SEV surface proteins with a single microbead capable of immunoadsorbing EVs, allowing for the direct and rapid monitoring of SEV. Clinical trials have shown that it is able to detect exosomes directly from 2 μL plasma samples, and indicated that cancer patients have higher levels of CD63, EpCAM double-positive exosomes than healthy controls.

In addition to the early diagnosis of tumors, the observation of the efficacy of tumor therapy and the prognosis of survival are important purposes of liquid biopsy. Up-regulation of miR-196b-5p in patients with CRC promotes chemoresistance to 5-FU. Besides, high expression of CTCs in patients’ blood is often a marker of high tumor recurrence rate and poor prognosis. The results of a study that performed CTCs counts on treatment days 1 and 15 showed that patients with high CTCs counts at baseline had worse overall survival (p < 0.001). In addition, the detection of CTCs surface markers such as thymidylate synthase and excision repair protein RAD23 homolog B can help to predict chemo-/radiotherapy resistance in patients. According to the Chinese Expert Consensus on Clinical Detection of Molecular Markers for Colorectal Cancer, CTCs could be effective for early screening, prognosis, and efficacy assessment of the disease. CtDNA has been shown to be useful in detecting the efficacy of surgery and chemotherapy and to play a role in the prediction of tumor recurrence. In patients receiving chemotherapy, downregulation of ctDNA is a predictor of response to treatment. Conversely, upregulation of ctDNA after surgery predicts a higher five-year risk of recurrence and poorer overall survival. Also, it is encouraging to note that studies have found a high degree of concordance between ctDNA mutations detected in the bloodstream and those found in biopsies of tumor tissues, suggesting that liquid biopsies may be able to play an even greater role in the future.

Pancreatic cancer (PC)

Pancreatic ductal adenocarcinoma (PDAC) is the most common form of PC and accounts for more than 90% of PC. The biology of PDAC is highly diverse and intricate, and its diversity is seen as a primary factor contributing to its resistance to therapies. Tumor heterogeneity is present not only across different patients (inter-tumor heterogeneity), but also within the same tumor (intratumor heterogeneity). Additionally, there is temporal heterogeneity caused by changes in PDAC over time and during treatment. Consequently, the early detection and monitoring of tumor development in PDAC via tissue biopsy is difficult. As a result, liquid biopsy holds significant research value in the diagnosis of PDAC and other related areas.

In the early diagnosis of PC, the number of CTCs can be effectively distinguished between PC patients and healthy controls, which has a high specificity (96.4%) but insufficient sensitivity (75.0%). Expert consensus of Oncology Committee of Chinese Medical Association in early diagnosis and treatment of pancreatic cancer states that CTCs can be used as a marker for early diagnosis and differential diagnosis of pancreatic cancer. Compared to CTCs, circulating epithelial cells (CECs) had a better performance in early diagnosis, with 77.8% patients showing detectable CECs, while only 15.8% of controls had detectable CECs. In early diagnosis, ctDNA relies heavily on the detection of its mutations. Since KRAS mutations are the most common genetic alterations in pancreatic cancer, and are present in more than 90% of patients, several scholars have investigated the use of KRAS mutations in liquid biopsy. It was found that detecting KRAS mutations by ctDNA alone had poor sensitivity (35.2%), accuracy (51.0%), and AUC (0.683). This may be due to the coexistence of KRAS mutations in a variety of other tumors. Therefore, the diagnostic power of ctDNA mutations can be effectively enhanced by combining ctDNA mutations with other markers, e.g., ctDNA mutations in combination with proteins, ctDNA mutations in combination with CA19-9, etc.. Of these, the combination with CA199 had significantly higher sensitivity (78%) and specificity (91%). Compared to ctDNA mutations, methylation of ctDNA showed a stronger potential in early diagnosis, and methylation of ADAMTS1 and BNC1 performed well in the early diagnosis of PDAC in terms of its sensitivity (97.4%), specificity (91.6%), and AUC (0.95). Although CA19-9 is a classical tumor marker, it lacks specificity in early diagnosis as CA19-9 lacks tumor specificity. Therefore, monitoring CA19-9 in combination with other markers can help to improve the specificity of PC diagnosis. One study found that 66.10% of miRNA had better diagnostic value compared to CA19-9 by analyzing a variety of miRNAs. Expert consensus on the molecular diagnosis of early-stage pancreatic cancer (2023 edition) recommends miRNA combinations as markers for early-stage precision diagnosis of pancreatic cancer to provide guidance to clinicians. Moreover, miRNAs in combination with CA19-9 may have better application value. When combined with CA19-9, the AUC can be significantly increased compared to CA199 alone. In extracellular vesicles, the difference in extracellular vesicle long RNA levels had a very high AUC (0.949) in early diagnosis43. According to CACA TECHNICAL GUIDELINES FOR HOLISTIC INTEGRATIVE MANAGEMENT OF CANCER, the combination of CTCs, ctDNA, exosomes, microRNAs, etc., with CA19-9 can improve the accuracy of PC diagnosis. However, its widespread use in the clinic needs to be supported by high-quality clinical research.

For chemoresistance in PC, a variety of liquid biopsy markers can be useful. Although CTCs counts may not be effective in predicting chemotherapy efficacy,, detection of CTCs molecular features can help predict therapeutic efficacy, such as CXC-motif chemokine receptor 4 (CXCR4)., Compared to CTCs, ctDNA has been more extensively studied in the detection of chemotherapy treatment. On the one hand, the probability of detectable ctDNA in the blood of patients receiving neoadjuvant chemotherapy is dramatically reduced. On the other hand, a decrease in cfDNA mutant allele fraction (MAF) predicts a response to chemotherapy, and drug-resistant patients show an increase in ctDNA MAF during the course of disease progression. Various ncRNAs such as miR-20a-5p and miR-373-3p have been found to be associated with chemotherapy resistance, and have potential as indicators to monitor therapeutic efficacy. However, current studies on ncRNAs and EVs in chemoresistance have focused on mechanistic studies and more clinical studies are needed for validation.

In the prognostic prediction of PC, the positivity of CTCs was associated with poor prognosis in patients with PDAC., The KRAS mutation in ctDNA was found to be significantly associated with the prognosis of the patients. Mutated patients have a tendency to relapse early and have a significantly lower overall survival, and recurrence-free survival, as compared to unmutated patients. Multiple miRNAs were combined in one study, and the score model constructed could be used to predict 5-year OS in patients, which was lower in patients with higher risk scores. Similarly, the combined diagnosis of multiple markers in EVs (EV-CK18 mRNA, EV-CD63 mRNA, EV-miR-409, cfDNA concentration, and CA19-9) in the monitoring of PDAC metastasis has a favorable efficacy (accuracy of 84%, sensitivity of 78%, specificity of 88%, AUC of 0.85) due to conventional imaging.

Although CA19-9 is a commonly used tumor marker, there are still 10% of patients who do not synthesize CA199, which is detrimental to the diagnosis of PC. Since the synthesis of CA19-9 is affected by common variants in the fucosyltransferase (FUT) enzymes FUT3 and FUT2, the combination of CA199 with FUT significantly improved the AUC (0.84-0.92). Measurement of the associated glycan DUPAN-2 is useful in individuals unable to synthesize CA19-9. A recent study found that the accuracy of early pancreatic cancer blood tests (CA19-9 and DUPAN-2) was improved when monitored by measuring the FUT2/FUT3 genotype subgroups and combining CA199 with DUPAN-2. Therefore, the detection of FUT added to patients with low CA19-9 expression may contribute to a more effective diagnosis of pancreatic cancer.

Gastric cancer (GC)

The primary indications of gastric cancer are nonspecific and typically involve dyspepsia, which is indicative of peptic ulcers. Patients and doctors sometimes overlook these symptoms, and a physical examination reveals no evident anomaly, or solely the presence of blood in the stool. Hence, it is imperative to discover novel and more efficient approaches for early detection of stomach cancer.

In early diagnosis, CTCs were found in 90.5% of patients. The sensitivity and specificity rates for detecting CTCs were 85.3% and 90.3%, respectively, among patients with gastric cancer and healthy individuals. Furthermore, it exhibits enhanced sensitivity in detecting advanced gastric cancer patients. Research has shown that the amount of cfDNA in the plasma of patients with stomach cancer is higher compared to healthy individuals. When comparing CTCs to cfDNA, it is found that cfDNA has a greater sensitivity (96.67%) and specificity (94.11%) in the early detection of gastric cancer. Additionally, it has an AUC value of 0.9914. In recent times, various methods have been developed to identify methylation in cfDNA for the purpose of early detection. These techniques offer a high level of accuracy (>90%) in terms of specificity, however their sensitivity is comparatively lower., Hence, there remains ample opportunity for enhancement. Certain circular RNAs (cirRNAs) have the potential to be utilized for early diagnosis. By combining various cirRNAs to create a prediction model, it is possible to more accurately distinguish between patients and healthy individuals. Moreover, the use of many miRNAs can be employed for the prompt detection of gastric cancer, exhibiting an impressive area under the curve (AUC) value of 0.9299. Furthermore, it was discovered that the levels of serum exosomal protein TRIM3 were notably decreased in patients with gastric cancer compared to individuals without the disease.

Liquid biopsy can also reveal cancer progression. Several studies have indicated that CTCs are linked with GC stage, and the amount of CTCs is higher in patients with high stage than in individuals with low stage., CTCs was discovered in 96% of metastatic gastric cancer patients, and the number of CTCs was considerably higher in patients with GC distant organ metastases than in healthy controls and non-metastatic patients. The plasma cfDNA was demonstrated to show an elevated trend in its concentration with the progression of gastric cancer. And the serum cfDNA expression level of patients with stages III-IV was significantly higher than that of patients with stageI. The role of miRNAs in gastric cancer development has been identified, for example, down-regulation of either miR-17-5p or miR-4742-5p significantly inhibits GC cell proliferation, invasion, and metastasis,, and HULC promotes ubiquitous cell invasion and migration through the Wnt/βcatenin signaling pathway, However, there is currently more mechanistic research and a lack of clinical data to validate the results. Upregulation of exosome hsa_circ_0015286 was found to be closely associated with tumor size, clinical stage, and lymph node metastasis, with an AUC of 0.778, a sensitivity of 82.1%, and a specificity of 65.7% in gastric cancer.

During GC treatment, both CTCs and cfDNA have been found to be useful in predicting efficacy during ICB treatment. Immune checkpoint blockade therapy efficacy can be predicted by analyzing the number and type of CTCs and CTCs-PD-L1 expression. CfDNA, on the other hand, can be used to predict therapeutic efficacy by detecting microsatellite instability (MSI) in GC, For chemotherapy, ncRNAs have been mentioned more often, on the one hand, multiple miRNAs (miR100, miR-34a, miR-23a, miR-30a, let- 7g, miR-342, miR-16, miR-181, miR-1, and miR-34) were found to correlate with chemo-sensitivity through data prediction, and on the other hand, some ncRNAs were confirmed to be associated with chemo-sensitivity through basic research. For example, miR-30a with cisplatin chemotherapy, hsacirc_004413, miR-145-5p, circCPM with 5-FU resistance., Therefore, ncRNA may be useful for chemotherapy efficacy prediction, which needs to be supported by more clinical data. After undergoing surgical treatment, the expression level of serum exosomal LncRNAH19 was significantly reduced compared with the preoperative level, and its AUC for diagnosing GC was up to 0.849, with a sensitivity and specificity of 74.36% and 83.95%, respectively, and its expression level was significantly correlated with the TNM stage.

For patient prognosis, the OS as well as PTS of patients after treatment showed a significant negative correlation with CTCs and ctDNA,– and the detection of cfDNA levels was helpful in predicting the recurrence of patients. Methylation levels of the cfDNA genes such as RASSF1A, SOX17, and wi −1 were significantly correlated with reduced PFS as well as OS.

Respiratory system

For the application of liquid biopsy in the respiratory system, we focus on lung cancer, laryngeal squamous cell carcinoma (LSCC), and nasopharyngeal cancer (Table 7).

Lung cancer

The high mortality rate of lung cancer is mainly due to the late detection and diagnosis of lung cancer and the fact that most lung cancer patients show signs of metastasis at the time of symptom onset, leading to a decrease in the overall survival rate of lung cancer. Therefore, early diagnosis and early treatment are effective measures to reduce the mortality rate of primary lung cancer patients. In screening for lung cancer, ctDNA plays a role as a class of liquid biopsy markers in the diagnosis, treatment, and prognosis of the disease. Firstly, not only the expression of ctDNA is upregulated in lung cancer patients, but also its methylation level is upregulated in early-stage lung cancer, so ctDNA may be used as an effective marker for screening early-stage tumors.– The exosome, which is currently popular in liquid biopsies, has likewise been found to serve as a liquid biopsy biomarker for lung cancer. In particular, exosomal proteins, a variety of proteins like SAA1, SAA2, Apo A-1, etc., have been found to be abnormally expressed in lung cancer patients and are considered to be potential markers for the early detection of lung cancer., Although CTCs do not play a significant role in early cancer screening, the number of CTCs detected does correlate strongly with tumor efficacy and prognosis.– This idea was well confirmed in a recent study, in which patients with high CTCs counts before or after treatment had a significantly worse prognosis than those with low CTCs. The CSCO Small Cell Lung Cancer Diagnostic and Treatment Guidelines state that tracking CTCs can assist in accurately determining the disease’s clinical stage, which will help in selecting the best course of action, directing each patient’s unique course of care, keeping an eye on the tumor’s metastasis and recurrence, assessing the effectiveness of the treatment, and forecasting the prognosis for survival. miRNAs, as a prognostic biomarker for lung cancer, have also become an important component of liquid biopsies for lung cancer. In addition, miRNAs have been found to be involved in a variety of pathogenetic processes in cancer, such as proliferation, migration, and drug resistance., Therefore, miRNAs have the potential to become an effective biomarker for understanding tumor progression as well as treatment efficacy. In addition to this, the amount of ctDNA also reflects the different stages of lung cancer, and the detection rate of ctDNA rises with tumor stage, with ctDNA detected in 100% of plasma specimens from patients with stage II-IV NSCLC. Moreover, the expression of ctDNA is highly correlated with the volume and size of the tumors, and thus ctDNA detection may be synergistic with imaging, and more helpful in understanding the course of the patient’s disease. The 2021 IASLC NSCLC Liquid Biopsy Consensus states that plasma ctDNA can be considered a useful tool for genotyping newly diagnosed patients with advanced NSCLC, and that the results are often complementary to those from tissue analysis. Also, ctDNA mutations have been found to be of some significance in lung cancer, but their mutations are not associated with early screening of tumors but rather tend to guide the selection of treatment regimens. Since it has been found that drug-resistant recurrence in many patients is associated with mutations in ctDNA, ctDNA testing may be used as an adjunctive means of detecting therapeutic efficacy and providing more rational clinical drug use.,

Laryngeal squamous cell carcinoma (LSCC)

Laryngeal squamous cell carcinoma (LSCC) is the second most common cancer of the respiratory system after lung cancer. Due to the lack of early disease indicators, the diagnosis is typically made at a late stage. 40% of patients are diagnosed with lymph node metastases and have a bad outcome. Currently, imaging and tissue biopsy are the predominant diagnostic techniques of head and neck squamous cell carcinoma (HNSCC). However, imaging tools make it difficult to detect micrometastases and persistent lesions in the early stages. Because different metastatic lesions might arise in diverse tumor genetic landscapes, a single tissue sample cannot adequately capture tumor heterogeneity. As a result, clinical detection strategies to improve early identification and prolong survival of HNSCC are critical.

Classical CTCs as well as ctDNA have been shown to be associated with LSCC. Current studies have shown that ctDNA can be detected in the plasma and saliva of patients with early and advanced disease and that the amount of ctDNA is higher in patients with advanced and metastatic cancers than in patients with early-stage disease. A recent study found that ecological dysregulation of the oral microbiome is a key hallmark of LSCC and that LSCC can be identified by detecting microbiota in mouthwash, which provides a novel model for liquid biopsy of LSCC.

And a series of studies have found that liquid biopsies have great potential for predicting the treatment efficacy and prognosis of patients. For CTCs, in addition to its early diagnostic role, it can also be used for treatment efficacy testing. CTCs counts are significantly reduced in tumor patients after treatment, and CTCs-negative patients have improved survival compared to CTCs-positive patients., Patients with high preoperative CTCs expression have a worse postoperative prognosis, and reduced CTCs values have been associated with an improved response to treatment.. CtDNA may be associated with tumor recurrence and can appear prior to recurrence, which plays a predictive role. In addition, hypermethylation of ctDNA has been shown to correlate with tumor stage, and patients who exhibit high methylation levels early in life have a higher risk of death. Many miRNAs have been found to be dysregulated in cancers such as LSCC and are associated with tumor progression, and therefore miRNAs have received more attention in liquid biopsies for LSCC., To date, several miRNAs have been found to be highly expressed in the plasma of LSCC patients,, and are strongly correlated with tumor size, advanced stage, and LNM. In addition, the expression of miRNAs such as miR130a and miR-632 has been associated with OS and DFS., LncRNA expression has been significantly correlated with the occurrence of LNM, advanced T-classification, and clinical stage, and may serve as a useful indicator of laryngeal cancer development.

Nasopharyngeal cancer

Nasopharyngeal cancer is a malignant tumor of the respiratory system, which is often associated with EBV infection, and its symptoms are nonspecific and difficult to detect at an early stage. Because of the high correlation between nasopharyngeal cancer and EBV infection, EBV detection plays a very important role in liquid biopsy of nasopharyngeal cancer, and the circulating free EBV DNA tends to have the greatest role in early detection of nasopharyngeal cancer. By detecting the copy number of circulating free EBV (cfEBV) DNA, not only can it reflect the tumor load of patients, but also can be used for the prognosis prediction of metastatic nasopharyngeal cancer.– Moreover, it has been found that the methylation of EBV DNA is significantly increased in the saliva of nasopharyngeal cancer patients, which suggests that it may be relevant to the detection of nasopharyngeal cancer. In addition, the detection of cfEBV DNA has shown other detection values, some scholars have found that the use of cfEBV DNA to guide routine imaging can effectively improve the detection efficiency and reduce the cost of detection. There is still much room for exploration of EBV in liquid biopsy of nasopharyngeal carcinoma. EBV-associated proteins such as EBNA1, EBER1, EBER2, etc. have been found to be useful in the diagnosis of nasopharyngeal cancer., Besides EBV-associated assays, various exosomal miRNAs have been found to be increased in the blood of patients with nasopharyngeal cancer, and anti-miRNA oligonucleotides (antagomiR) have a greater potential to become a therapeutic approach for nasopharyngeal cancer.,

Nervous system

In this part, we mainly introduce the application of liquid biopsy in gliomas as well as central nervous system lymphomas (Table 8).

Gliomas

Gliomas are the most prevalent primary malignant brain tumors in adults. Glioblastomas are highly malignant, with an average survival of 14.6 months., Early diagnosis of gliomas and therapeutic testing are therefore important for patients. The principal tool for monitoring gliomas is conventional magnetic resonance imaging, which has problems in separating true progression (TP) from pseudoprogression. As a result, more reliable and sensitive approaches are required to assess tumor response and evolution. Currently, liquid biopsy of gliomas involves specimens from blood and cerebrospinal fluid.

Firstly, for the early diagnosis of tumors, as EpCAM is widely expressed on the surface of CTCs derived from cancer cells, most CTCs detect cells targeting EpCAM, but EpCAM is not present in GBM cells. Thus, it has been suggested that circulating brain tumor cells are detected by GBM-specific expression of CD14, CD16, etc. In comparison to blood, CTCs in the cerebrospinal fluid are more readily identifiable and distinguishable from other cells, which may result from the presence of the blood-brain barrier and the more complex cellular composition of blood. According to NCCN Clinical Practice Guidelines in Oncology, Version 3.2020 on Central Nervous System Cancers, CTCs improve tumor cell detection and efficacy evaluation sensitivity. Secondly, the detection of ctDNA is also of diagnostic significance for gliomas, and studies conducted by several scholars have demonstrated that the sensitivity and accuracy of tumor ctDNA detection in cerebrospinal fluid is better than that in plasma compared with blood., In addition to mutations of ctDNA, its methylation can be used in the detection of cerebrospinal fluid, and the detection of ctDNA methylation can help analyze the subtypes of gliomas. Also, liquid biopsy can monitor the tumor progression. First is the classical CTCs, Various studies have illustrated that the number of CTCs does not only correlate with tumor progression, as well as prognosis., CTCs identification techniques may be taken into consideration for the evaluation of meningeal metastases, according to the Chinese Guidelines for Integrated Diagnosis and Treatment of Tumors—Metastatic Tumors of the Central Nervous System. In the detection of ctDNA, the detection of target mutations has received more attention. The detection of mutations can predict the degree of tumor malignancy. Liquid biopsy can be also predictive for the treatment and prognosis of gliomas. CTCs may correlate with tumor resistance. And the detection of ctDNA mutations can monitor the response to drug therapy., CtDNA mutations can also be used to select appropriate targeted therapeutic drugs, which is more conducive to the rational use of medication to improve the efficacy of treatment. Detection of ctDNA methylation in serum has revealed that the serum markers can reflect the characteristics of tissues and can effectively differentiate between gliomas and other malignant tumors, which can help in the diagnosis of gliomas as well as in the prediction of their prognosis., In addition to ctDNA in circulating tumor nucleic acids, miRNA is also a point of detection. Although miRNAs have advantages such as easy identification, their faster degradation leads to hindrance in the detection process. However, when miRNAs are incorporated into extracellular vesicles like exosomes, their degradation process is impeded, making them more stable and easier to detect. Detection of miRNAs in exosomes therefore currently appears to be positive in various aspects of the diagnosis of gliomas, for example, RNA RNU6-1 has been recognized as an identifying biomarker for GBM. Cerebrospinal fluid has been shown to be a source of GBM-specific 9 miRNAs. In addition, the detection of exosomal proteins has also proved to be promising for research. 90% of GBM patients have at least one protein differently expressed in their exosomes, including EGFR, EGFRvIII, podoplanin, and IDH1. Furthermore, chloride intracellular channel 1 identified in exosomes enhances GBM growth and invasiveness, and is associated with poor prognosis. Currently, detecting changes in protein levels in body fluids or tissues is the most commonly used diagnostic method for the diagnosis, treatment, and prognosis of gliomas.

Primary central nervous system lymphoma (PCNSL)

Unlike other lymphomas, primary CNS lymphoma is not easily recognized and responded to by immune cells due to the blood-brain barrier and is therefore considered an “immune-privileged (IP)” lymphoma. Thus, timely diagnosis and treatment are crucial for improving patient prognosis and survival. Due to the difficulty of sampling tissue biopsies, liquid biopsies have the potential to be used in conjunction with radiologic features in the diagnosis of PCNSL. Currently, ctDNA is the most frequently discussed liquid biopsy for CNS lymphomas, but several studies have failed to find a relationship between the number of ctDNAs and the diagnosis of lymphomas, etc. More attention has been paid to ctDNA mutations such as MYD88, CARD11, CD79B, etc.,,. Among them, MYD88 is the most well-researched, and it has been classified as a diagnostic marker for PCNSL.

Several studies have demonstrated that detection of the MYD88 mutation in cerebrospinal fluid or plasma not only allows for the early diagnosis of PCNSL but also helps in the prediction of efficacy and drug resistance of chemotherapy and other therapeutic measures. Currently, the technology of ctDNA detection is constantly being updated, and a new rapid genotyping system (GeneSoC) based on microfluidic thermocycling technology with RT-PCR has recently made it possible to greatly reduce the detection time compared with the previous NGS and droplet digital PCR,, which is more conducive to intraoperative detection and monitoring of the therapeutic efficacy., Liquid biopsy of ctDNA can reduce the impact of spatial heterogeneity of the tumor compared with tissue biopsy, and a recent study found that liquid biopsy detects ctDNA mutations earlier than tissue biopsy, so liquid biopsy of ctDNA has great potential for clinical application in PCNSL.

In addition to the most attention in ctDNA, miRNAs have also been found to be useful as monitoring markers for PCNSL. There is a lack of research on miRNA compared to ctDNA, and miRNAs are currently mainly detected in exosomes due to the greater stability of miRNAs. The expression levels of miRNAs such as miR-200c and miR-141 etc. can be used to diagnose PCNNSL as well as to monitor the efficacy of chemotherapy. In addition to miRNAs, a variety of phosphoproteins associated with PCNNSL in cellular vesicles, including SPP1, MARCKS, NPM1, and VIM, have the potential to be used as markers of PCNNSL. Some inflammatory factors, such as CSF neopterin, the interleukin (IL)-10, CXCL13, etc. have been found to be up-regulated in the cerebrospinal fluid of PCNSL patients.,– Moreover, CSF neopterin has been found to be significantly higher in PCNSL patients than in patients with other brain tumors and pseudo-inflammatory encephalopathies, and thus neopterin levels may help to differentiate PCNSL from other CNS tumors.

Urinary system

The liquid biopsy in urology has been focused on the following four tumors, including renal cell carcinoma (RCC), bladder cancer (BLCA), Wilms’ tumor (WT), and uroepithelial carcinoma (Table 9).

Renal cell carcinoma (RCC)

RCC is one of the most common malignant tumors which is the main type of kidney cancer. It is difficult to diagnose RCC in its early stages and is now prone to recurrence after surgery as well as radiotherapy, hence earlier diagnosis of RCC is required. RCC cancers take a lengthy period (up to 50 years) to evolve from their initial genetic changes to clinical symptoms. Although little histologic modifications are detectable in the comparable histologically normal renal tissues of individuals with renal tumors, epigenetic alterations have accumulated in this noncancerous renal tissue, indicating their potential application in early identification by liquid biopsy. Liquid biopsy can be used as an auxiliary test for early diagnosis of RCC, and the main biomarkers include CTCs, ctDNA, miRNA, and so on.

In the early diagnosis of RCC, the detection of CTCs is less frequently concerned. And CTCs were detected in 100% of samples evaluated in patients with metastatic clear cell renal cell carcinoma (ccRCC) but not in healthy controls. In addition, in the differential diagnosis of RCC, ctDNA plays a role in detecting its methylation, and plasma cfDNA has been found to have 300 differentially methylated regions, which is effective in the diagnosis of RCC by detecting the methylation. Studies on miRNAs as liquid biopsy markers have shown that the combination of multiple miRNAs has high sensitivity and specificity in the diagnosis of RCC and helps to differentiate it from benign renal tumors.– For example, four microRNA (miR-21-5p, miR-150-5p, miR-145-5p, and miR-146a-5p) panels were produced, and the AUC of the panels was 0.938 (95% CI: 0.889–0.971; sensitivity: 90.79%, specificity: 93.75%). Similar to ctDNA, methylation of miRNAs is also beneficial for the diagnosis and differentiation of RCC. In liquid biopsy of RCC, some scholars have found that in addition to CTCs, cfDNA, and cfRNA, some other biomarkers are also involved in the diagnosis of RCC, such as some metabolites, plasma proteins, and other biomarkers, which are also involved in the diagnosis of RCC, but there are fewer research reports, that require more in-depth exploration.–

Additionally, CK+CTCs are frequently detected and the number of them correlates with disease progression. miRNAs have been found to be associated with the grading and staging of RCC as well as distant metastasis. There are increased serum miR-122-5p and miR-206 levels in patients with metastatic diseases. In addition, miR-122-5p levels were associated with grade.

More studies have found that liquid biopsy can be used for the treatment monitoring and prognosis prediction of RCC. With the development of genetic testing technology, studies on ctDNA and miRNA have been more focused in liquid biopsy. First, cfDNA content and fragment length play a role in prognostic prediction of RCC, with shorter cfDNA fragments significantly associated with shorter PFS and postoperative ctDNA associated with prognosis only in patients with metastatic RCC but not in those without metastasis.– In the case of ctDNA, mutations in ctDNA continue to be of great interest in liquid biopsies of RCC, with several studies detecting a variety of mutations in ctDNA and miRNA. For ctDNA, its mutations remain of great interest in liquid biopsies of RCC, and several mutation sites have been detected in several studies, including VHL, brca1-associated protein 1 (BAP1), recombinant polybrominated gene 1 (PBRM1), TP53, ATM, and others, with the most common mutated genes being VHL.,– Its mutations correlate with prognosis, e.g., patients with high cfDNA concentrations and TP53 mutations have the worst PFS, whereas patients with low cfDNA and no mutations in TP53 have a longer PFS (p = 0.004). Mutation detection of ctDNA helps to predict the efficacy of ICI and TKI therapy, and the frequency of ctDNA mutations is significantly reduced after surgery. miR-15a has been regarded as a possible key molecule for liquid biopsy of RCC because it not only identifies benign tumors as well as RCC but also correlates with RCC postoperative prognosis(specificity:98.1%,sensitivity:100%, AUC: 0.955). The number of mixed CTCs in the metastasis and no-metastasis groups at 12 months postoperatively was significantly different from the number of mixed CTCs preoperatively, suggesting that the risk of recurrence or metastasis correlates with dynamic changes in the count of CTCs. Given that miRNAs are more stable in the exosomes, many studies have begun to target miRNAs in the exosomes, and a great deal of potential exists for their clinical application., Moreover, some circRNAs, lncRNAs, and piRNAs have been considered for liquid biopsy in RCC.–

Bladder cancer (BLCA)

Bladder cancer is a highly heterogeneous malignancy. BLCA can present as non-muscle-invasive bladder cancer (NMIBC), muscle-invasive bladder cancer (MIBC), or metastatic disease events, each characterized by distinct molecular drivers. Currently, invasive cystoscopy and tissue biopsy remain the gold standard for BLCA identification and surveillance. However, this method suffers from drawbacks such as sampling bias, invasiveness, and difficulty in sampling deep tumors, which limits its use in mass screening.

In the early diagnosis of BLCA, CTCs and miRNA are the main liquid biopsy markers. In BLCA, CTCs can be quantified by detecting folate receptor-alpha and can be diagnostic for BLCA (sensitivity: 82.14%, specificity: 61.9%). The role of ctDNA methylation in liquid biopsy has received much attention. Various ctDNAs such as p16 DNA, APC, GSTP1, TIG1, etc. have been shown to be hypermethylated in patients with BLCA,, and there is a positive correlation between the frequency of methylation and the stage, so the methylation of ctDNA may be used as a biomarker for the diagnosis of BLCA., miRNAs in plasma and exosomes have been widely studied as potential biomarkers and therapeutic targets. Firstly, in blood, miR-19a, miR-99a, miR-200b, miRNA-373, and other miRNAs have been shown to be expressed differently in the blood of BLCA patients than in healthy people, which is a potential biomarker for BLCA., When multiple miRNAs are integrated for combined diagnosis, they show high accuracy in early diagnosis and differential diagnosis of BLCA., A study has constructed logistic regression modeling that predicts diagnosis with 89% accuracy in detecting the presence or absence of BLCA, 92% accuracy in distinguishing invasive BLCA from other cases, and 100% accuracy in distinguishing MIBC from controls. In exosomes, miRNAs have been found to be associated with tumor progression and metastasis, and similar to the miRNA alterations detected in the bloodstream, exosomal miRNAs also play a role in the diagnosis of BLCA and in predicting the prognosis., Compared to blood, urine testing is mainly focused on protein and exfoliative cytology. Most of the proteins are detected by ELISA, such as the expression of BLCA-4(sensitivity: 93%, specificity: 97%, AUC: 0.9607), MCM5(sensitivity: 75.6%, specificity: 71.1%), etc., to assist in the early diagnosis of BLCA., On the other hand, for exfoliated cells, not only cell surface markers, such as Cytokeratin 17, can be used to identify tumor cells for the diagnosis of BLCA, but exfoliated cell DNA, including TERT promoter mutations(specificity: 100.00%, sensitivity: 46.67%) and FGFR3 mutations, are the most common mutations in somatic cells, which can be used to detect BLCA noninvasively and to monitor recurrence.,

For the detection of tumor progression, the presence of CTCs has also been associated with metastasis of BLCA, and CTCs have been shown to predict metastasis in NMIBC and to identify those at high risk of recurrence.– Also, in MIBC, there is a higher level of CTCs, again demonstrating the correlation between CTCs and tumor muscle infiltration. Although ctDNA is rarely expressed in blood, it has been found to be superior compared to histology in reacting with advanced tumor load, for example. And plasma ctDNA has a high concordance with genes detected in tumor tissue.

Liquid biopsies can also be used for therapeutic monitoring and prognosis prediction in BLCA. CTCs has been shown to be associated with disease recurrence and poor prognosis in several studies. After clinical treatment, CTCs-positive patients have worse progression-free survival, CSS, and OS (sensitivity: 35%, specificity: 97%).,, CTCs can be used to assess the efficacy of cisplatin-based chemotherapy, PDL1 immunotherapy, etc., and can help to better predict the efficacy of treatments., CTCs-positive patients have higher rates of cancer-related mortality and disease recurrence compared to CTCs-negative patients. And CTCs-positive patients who received neoadjuvant chemotherapy (n = 22) survived longer than those who were not CTCs-positive (n = 48).

Mutations of ctDNA are another concern in addition to the DNA methylation hotspot. A variety of genetic mutations have been found to be present in the blood of BLCA patients with potential as prognostic markers. For example, FGFR3 and PI3KCA mutations are significantly associated with recurrence of the disease, and the number of genomic alterations has been correlated with response to immunotherapy.– A clinical trial has found a strong correlation between ctDNA Variant Allel Frequency (VAF) and treatment duration, clinical activity, PFS, and OS. Compared with patients with dVAF ≥ 0, patients with lower mean VAF had a significantly better PFS and OS.

In addition to this, ctDNA expression levels are a valid indicator, and it has been demonstrated that liquid biopsy results are detected earlier than imaging at the time of tumor recurrence, thus making ctDNA a potent prognostic marker for the patients. Whether it is chemotherapy, radiotherapy, immunotherapy, or cystectomy, ctDNA testing can respond to disease progression after treatment as well as detect treatment efficacy, suggesting that it may be possible to improve the treatment regimen for better therapeutic efficacy by continuous monitoring of ctDNA.–

However, compared to blood monitoring, although significant progress has been made in urine biomarkers and urocytology monitoring, their sensitivity and specificity are low, and thus their application in low-grade tumors is partially limited.,

Wilms’ tumor (WT)

Wilms’ tumor (WT), which often occurs in children, is the main type of renal tumor in children and currently has a recurrence rate of up to 15%. The majority of cases of WT are disseminated, caused by mutations in somatic cells that are often limited to tumor tissue, and the tumors are very genetically heterogenous. Liquid biopsy may play a role in its early screening as well as therapeutic monitoring, which may help in tumor treatment as well as reducing recurrence.

In blood, liquid biopsies are performed mainly by monitoring miRNA and ctDNA. Among them, several miRNAs have been found to serve as markers for WT diagnosis and to play a role in the differential diagnosis of WT from other tumors (accuracy: 97.5%, sensitivity: 99.8%, specificity: 94.7%). Mutations in ctDNA have been found to allow for the early identification of WT and the OS of ctDNA-positive patients is poorer than that of ctDNA-negative patients., Urine, as the other main sample for liquid biopsy, is less effective in the diagnosis and differentiation of WT than blood. For example, ctDNA was detected in the serum for 82% patients, but in the urine for 26% patients. However, proteomic monitoring of urine specimens acts as an important class of molecular markers in liquid biopsies. For example, neuron-specific enolase, basic fibroblast growth factor (bFGF), and hyaluronidase are enriched in the urine of patients with nephroblastoma and can be used as indicators for the diagnosis of WT., In addition, in the monitoring of the therapeutic efficacy of WT as well as in the determination of the prognosis, several protein biomarkers, such as transgenic specific enolase (NSE), hyaluronic acid (HA), hyaluronan-stimulating activity (HSA), and hyaluronidase, etc. can be used as assays to assist in the judgment.,

Uroepithelial carcinoma (UC)

Uroepithelial carcinoma (UC) can be divided into uroepithelial bladder cancer (UBC) and upper uroepithelial carcinoma (UTUC), UBC has been introduced in detail in the section of BLCA, so this section will mainly focus on UTUC. UTUC is known to be a particularly aggressive form of uroepithelial carcinoma, usually diagnosed at an advanced stage and posing serious therapeutic difficulties due to its anatomical location and the potential for early lymphatic and hematogenous dissemination.

The main biomarkers for liquid biopsy in UTUC are ctDNA, miRNA, protein, etc. For ctDNA, the main focus is on its fragment size, mutation, and methylation. Plasma cfDNA fragment size correlates with UTUC and may be helpful in the diagnosis of UTUC (AUC: 0.72). Monitoring of ctDNA mutations and methylation in urine has revealed that both can diagnose UTUC (sensitivity: 96%, specificity: 88%),– and predict the prognosis of the patients(sensitivity: 86.5%, specificity: 94.7%).– Moreover, the combined detection of methylation and mutation can better monitor UTUC with higher sensitivity and specificity (sensitivity: 94.0%, specificity: 93.1%, AUC: 0.96). Multiple miRNAs have been identified as diagnostic markers for UTUC, and some miRNAs were found to be predictive of UTUC prognosis.– For example, miR-151b was able to differentiate between two groups of UTUC patients with significant differences in tumor progression probability (p = 0.006) and cancer-specific survival probability (p = 0.034). In addition, a variety of proteins in plasma and urine may be useful for the detection of UTUC. For example, plasma phosphorylated protein 1 and urine FXYD3 can effectively identify patients with early UTUC, facilitating rapid screening for UC., Also, the survival prognosis of UTUC patients can be predicted by proteins, such as albumin-globulin ratio (AGR) and hemoglobin levels. Certain proteins, such as serum iron-regulated proteins and GDF-15 levels, have been associated with the progression and invasion of UTUC.

Circulatory system

In the circulatory system, we will mainly discuss the application of liquid biopsies in myelodysplastic syndromes (MDS)/acute myeloid leukemia (AML), lymphomas, and multiple myeloma (MM) (Table 10).

Myelodysplastic syndromes (MDS)/acute myeloid leukemia (AML)

Because of the analogous mutation profiles of MDS and AML genes and the characteristic transformation of MDS to AML, which occurs in ~30% of MDS, we have discussed MDS/AML jointly when discussing liquid biopsies of circulatory tumors. The reason why ctDNA is able to dominate liquid biopsies of MDS/AML is due to the influence of the following conditions. There are multiple genetic mutations in MDS/AML, and the correlation between ctDNA in the blood and the variants detected by bone marrow biopsy is high., In the plasma of AML patients, sequence variants and copy number variants of ctDNA are highly consistent with the results of the bone marrow biopsy., Also, due to the inherent heterogeneity of the tumors, the full information about the tumors may not be obtained at the time of the bone marrow puncture. The ctDNA test can be used to detect chromosomal aberrations and to detect the course of the disease in patients with MDS.

Studies have shown that the concentration and integrity of DNA in patients with acute leukemia are higher than in healthy controls, and that relapse is associated with a significant increase in DNA integrity, so plasma DNA integrity may be a potential biomarker for detecting leukemia progression. Methylation of ctDNA has also received attention. AML can be reliably distinguished from the healthy population by detecting ctDNA methylation in the peripheral blood of AML patients.

In addition, ctDNA mutations have been associated with the detection of therapeutic response. ctDNA in the blood of patients with MDS dynamically responds to the tumor load during treatment and demonstrates mutations and karyotypic abnormalities in MDS. Thus, ctDNA may respond to dynamic changes in myelogenetic abnormalities. Several studies have synthesized and discussed the detection of ctDNA in the plasma of patients with MDS and AML., After demethylation therapy or chemotherapy, ctDNA was detected in the peripheral blood of patients in complete remission/complete rheological recovery (CR/CRi) with a lower mean number of VAFs, and mutations were negatively correlated with longer progression-free survival (PFS) and overall survival (OS). And ctDNA methylation has been shown to correlate with tumor status after treatment. After treatment with azacitidine, AML patients showed a rapid decrease in peripheral blood ctDNA methylation levels.

And for tumor recurrence, the rate of recurrence is higher in ctDNA-positive patients than in negative patients. As MDS progresses to AML, mutations in ctDNA can be detected in plasma earlier than changes in cell morphology.

Lymphoma

Diffuse large B-cell lymphoma is the most common lymphoma and is an aggressive heterogeneous lymphoma. Multiple studies have shown that ctDNA can detect lymphoma-associated genetic alterations with 95% concordance with tissue biopsy results., CtDNA has been shown to be useful for disease progression and predicts progression (positive predictive value of 88.2% and negative predictive value of 97.8%) earlier than conventional imaging. CtDNA mutations in plasma are significantly downregulated after treatment,, and their mutations are associated with event-free survival (EFS) and OS. To further improve the sensitivity of the analysis, ctDNA detection methods are being actively investigated, including phase variant enrichment and detection sequencing, CAPP-seq, and others.,, In Hodgkin’s lymphoma (HL), it has been demonstrated that ctDNA levels in HL plasma are higher than in the healthy population, and have correlated with radiologically detected findings, i.e., tumor volume., Its plasma ctDNA has been determined to be a reliable source of tumor DNA for identifying mutations in HL., During the research process of ctDNA mutations, it has been found that ctDNA mutation correlates with efficacy testing and prognosis of various therapies, including chemotherapy, immunotherapy, etc.– Plasma ctDNA concentration before treatment could independently predict clinical outcome, and patients with particularly poor prognosis after radical immunochemotherapy could be identified by plasma ctDNA monitoring during treatment. In combination with PET/CT, ctDNA levels were found to correlate with total metabolic tumor volume detected by PET/CT, and ctDNA values were correlated with disease progression and survival. Therefore, the mutual complementarity of the two assays is conducive to a more accurate determination of treatment efficacy and risk of recurrence, etc.

Multiple myeloma (MM)

MM is characterized by an intricate array of genetic and epigenetic alterations that result in the malignant conversion of plasma cells. It is a hematologic disease that cannot be cured and exhibits significant variation in both space and time. Detection of CTCs in the serum of MM patients revealed that CTCs were higher in MM patients. Mutation detection of CTCs showed good agreement in the degree of mutation matching between MM cells in BM and CTCs in blood, and was 95% concordance in copy number alterations at the chromosome arm lFel., And in extramedullary (EM) plasmacytoma samples, an 87% concordance was found between the mutational profiles of EM tumor cells and CTCs, with the highly concordant mutations suggesting that CTCs may be responsible for the development of EM. Despite the good concordance of mutations in CTCs and MM cells, there are still some inconsistencies, which may indicate that a combination of the two tests may be more helpful in the diagnosis of MM. CfDNA is the most commonly used marker for MM liquid biopsy. It was found that changes in ctDNA levels preceded those of other serum markers, such as FLC., Therefore, ctDNA may be an earlier predictor of disease progression like CTCs. In addition, ctDNA can also be used to detect the progression of MM. Firstly, ctDNA levels were detected to show a sustained elevation during MM progression and the number was correlated with tumor load parameters such as the percentage of infiltration with bone marrow plasma cells., Moreover, serial analysis of the mutational status of cfDNA helps to assess the efficacy of treatment, and because EM is difficult to perform routine biopsies, mutation detection of ctDNA may be more of an examination advantage in the diagnosis as well as prognostic assessment of patients with EM. Studies have been conducted on cfDNA mutations and drug therapy, and it was found that ctDNA mutations such as DIS3, FGFR3, KMT2C, MAML2, and ZFHX4 mutations may predict resistance to certain therapies. Recently, a study demonstrated that the detection of ctDNA mutations to select the corresponding selective inhibitors for treatment has promising efficacy,, further suggesting that liquid biopsy has great potential for use in the diagnosis and treatment of MM.

Endocrine system

The application of liquid biopsy in endocrine system tumors mainly includes thyroid cancer (TC) and breast cancer (BRCA) (Table 11).

Thyroid cancer (TC)

TC is the most common endocrine malignancy. The majority of this tumor originates from epithelial tissue and includes differentiated thyroid carcinoma (DTC), poorly differentiated thyroid carcinoma (PDTC), anaplastic thyroid cancer (ATC). The differentiated type of TC, which usually exhibits an indolent clinical behavior and has a good prognosis, can be further classified into papillary thyroid carcinoma (PTC) (85–90%), follicular thyroid carcinoma (FTC) (5–10%), and Hürthle cell carcinoma (HCTC) (3%) cancers., The incidence of TC has been increasing globally over the past 30 years. Currently, rapidly evolving liquid biopsy techniques offer unique advantages in the diagnosis and prognostic testing of this disease. The following section focuses on liquid biopsy techniques related to TC.

First, for the detection of CTCs, in addition to enrichment based on its physical properties, immunoaffinity-based enrichment methods are now more commonly used, including assays for anti-EpCAM, tumor-specific cell surface antigens, cytokeratins (CKs), and other stem cell or mesenchymal markers., Of these, the CellSearch® method is currently the only method that is method authorized by the FDA to monitor the number of CTCs in blood samples. It has been shown that the number of CTCs is significantly increased in patients with DTC and that their number is proportional to the tumor stage at diagnosis, suggesting that CTCs may have a strong correlation with this tumor. CTCs values were significantly higher in TC patients compared to controls and the number of CTCs correlated with initial tumor stage. In addition to this, methylation of ctDNA has been recognized as a promising biomarker. One study found that the SLC5A8 and SLC26A4 genes have higher methylation expression in patients with TC. It has been shown that exosomal miRNAs are promising diagnostic markers for TC, being more resistant to the proteolytic activity of RNAases and more stable than free miRNAs in body fluids. Therefore, the detection of miRNAs in the exosomes seems to be more relevant. It was found that miR-146b-5p and miR-21a-5p were significantly elevated in the cellular exosomes of PTC patients compared to patients with benign multinodular disease, but no significant difference was found when free miRNAs in the blood were analyzed. This further demonstrates the superiority of exosomal miRNA detection testing for early diagnosis of TC.

Also, various liquid biopsy markers can be used to detect TC progression as well as treatment prognosis. And in the FTC typing of DTC, a research team found that CTCs was more common in malignant patients, while all benign patients were negative (specificity 100%, sensitivity 46%). So, CTCs may also be used as an indicator to judge the benignity or malignancy of a tumor. Furthermore, in a study by Qiu et al., it was found that metastasis was more likely to occur when the number of isolated CTCs was 5 or more (sensitivity: 64.3%, specificity: 83.8%), whereas isolation of seven or more CTCs predicted a poor prognosis in response to radioiodine treatment (sensitivity: 73.7%, specificity: 69.6%). Some studies have found that in the metastatic PTC patients mutations in RET and BRAF genes are more common and predict poor prognosis. Also, mutations in NRAS and TP53 were found to possibly accelerate tumor progression in DTC and ATC patients.

In addition, ctDNA is significantly better than other imaging tests and protein marker tests in predicting the prognosis of TC. Several studies have shown that the detection rate of specific gene mutations in cfDNA is associated with overall survival and poor prognosis of TC, such as PIK3CA, BRAFV600E, RETM918T, and BRAFT1799A.– Mutations in cfPIK3CA are also associated with poor prognosis in patients with ATC. Another study found that patients with recurrent TC have a higher positive rate (70%) of serum DNA methylation. Similarly, one study testing CTCs in patients with medullary thyroid cancer (MTC) both preoperatively and postoperatively, there were similar conclusions, which suggest that CTCs may be a good prognostic monitoring indicator. The same can be said for serum exosomes in predicting patient prognosis. One study found that PTC patients with high serum exosomal miR-29a levels had significantly greater OS and RFS than those with low exosomal miR-29a expression levels, suggesting that exosomal miR-29a levels may be associated with PTC recurrence. In addition, miR-146b, and miR-222 have also been shown to be potential markers of PTC recurrence. And a large number of miRNAs have also been found and reported, such as miR-16-2-3p, miR-223-5p, miR-130a-3p, miR182-5p, etc. have expressed their advantages in different aspects, which can provide some references for the diagnosis of clinical diseases.

Breast cancer (BRCA)

Breast cancer (BRCA) is one of the most common malignant tumors among women in China, and its incidence rate has long been in the first place with the leading cause of tumor death among middle-aged women. Early screening and early diagnosis of this disease are extremely important because early metastatic cases are curable, while distant metastatic cases are currently considered incurable. Tissue biopsy and immunohistochemistry, the gold standard techniques for conventional BRCA treatment, have limited detection rates because of the high heterogeneity of the tumor, while liquid biopsy has unique advantages in this area, which provides sustainable and personalized medical treatment for patients.

CtDNA has become a hotspot for scientists because of its high ability to assess tumor heterogeneity. Point mutations are one of the more common types of mutations in ctDNA, with genes such as TP53, PIK3CA, and ESR1 being the hotspot mutated genes in BRCA identified to date., By evaluating PIK3CA mutations in the plasma of BRCA patients, Beaver et al. found that the sensitivity of this method for detecting early BC was 93.3%, and the specificity of this gene reached 100%. Meanwhile the gene has been approved as a biomarker for the Pl3K inhibitor alpelisib in Europe and the United States. In addition to this, ctDNA methylation can also be used for early diagnosis as well as differentiation of breast cancer. A study has shown that the detection of ctDNA methylation biomarkers is highly accurate in the early diagnosis of breast cancer patients (AUC: 0.889, sensitivity: 100%, specificity: 75%). It has been reported that the expression levels of plasma exosomes miR-21(AUC:0.69), miR-1246(AUC:0.69), and serum exosomes miR-101, and miR-372 are significantly elevated in BRCA patients, suggesting that the above exosomal miRNAs could be used as a potential biomarker for the diagnosis of early-stage BRCA., By comparing the expression levels of circulating exosomal miRNAs in blood samples from 32 healthy volunteers and 32 BRCA patients, Li et al. found that the levels of four exosomal miRNAs (miR-106a-5p, miR-19b-3p, miR-20b-5p, and miR-92a-3p) were significantly elevated in sera of BRCA patients (sensitivity: 87%, specificity: 89, AUC: 0.937), and found that three plasma-derived exosomal miRNAs (miR-106a-3p, miR-106a-5p and miR-92a-2-5p) levels were elevated compared to healthy volunteers(sensitivity:82%, specificity:79%, AUC:0.889). It is suggested that the above seven circulating exosomal miRNAs are expected to be biomarkers for early diagnosis of BRCA. Among them, the expression of miR-106a-5p was higher than that of healthy volunteers both in plasma and serum, suggesting that exosomal miR-106a-5p has the potential to be a specific biomarker for early diagnosis of BRCA. In a recent study, a droplet digital ExoELISA method was developed for the detection of GPC-1(+) exosomes in clinical samples from healthy individuals, patients with benign breast cancer, patients with breast cancer, and post-breast cancer patients. The microtitre digital ExoELISA method demonstrated unprecedented accuracy and high specificity in exosome quantification with a detection limit of at least 10 exosomes per microliter. The results showed significantly higher GPC-1 expression in tumor-derived exosomes compared to normal and benign breast disease samples, and higher levels of GPC-1(+) exosomes in breast cancer patients than in healthy controls and patients with benign breast disease. For CTCs detection, the most effective CTCs test for BRCA is still the FDA-approved CellSearch® method. This method is an automated immunomagnetic enrichment method based on the EpCAM, which has a high degree of sensitivity and specificity. In addition, chip-based microfluidic methods are currently being developed. The main principle is to retain and isolate CTCs based on their different sizes and deformability from other blood components as blood flows within a microfluidic chip. It has been reported that the number of CTCs is positively correlated with the tumor stage, and that when CTCs are counted at a higher number, the worse the prognosis of the patient is, and the more prone to metastasis, which suggests that CTCs is a good prognostic indicator. According to the NCCN Clinical Practice Guidelines in Oncology, Version 3.2022, patients who have continuously increased CTCs levels following three weeks of first-line treatment have worse OS and PFS. A research team dynamically monitored ctDNA, CTCs, and CA15-3 levels in 30 patients with advanced BRCA. The results showed that changes in patient-specific ctDNA levels during treatment correlated most strongly with efficacy, and had higher sensitivity (90%) compared with CA15-3 and CTCs. Moreover, increased ctDNA levels indicated disease progression on average 5 months earlier than clinical imaging. In addition, a variety of exosomal miRNAs are associated with an increased risk of BRCA development and shorter survival. In addition, it has been found that genes such as miR-23a, miR-5100, miR-19b-3p, and miR-21 are involved in the process of EMT, which is also of clinical significance for the prognostic detection of tumors. We can also detect the number of CTCs in patients after taking treatment to reflect the clinical efficacy. For example, Nakamura et al. analyzed the relationship between the effect of chemotherapy and the change in the number of CTCs in metastatic BRCA and found that after 1 cycle of chemotherapy, the number of CTCs decreased by more than 90% compared with the number of CTCs before chemotherapy, 85.7% of the patients were in complete remission or partial remission; and for the patients who did not have a decrease or even an increase in the number of CTCs after chemotherapy, there were 63.6% of the patients who had progression of the disease. According to the Chinese Society of Clinical Oncology’s (CSCO) Breast Cancer Guidelines 2022, CTCs can partially mimic solid tumors and be employed in addition to genetic sequencing, pathological diagnosis, and disease surveillance. For patients with advanced BRCA, ctDNA is a sensitive and specific biomarker for monitoring tumor load, and changes in its levels suggest changes in tumor load and thus reflect drug efficacy. Although ctDNA has made large and substantial advances in BRCA and the applications of ctDNA are expanding, the information provided by ctDNA is usually limited to the assessment of disease burden and the presence or absence of genomic mutations. Further applications and tests remain to be explored.

In addition, lncRNAs and circRNAs have the potential to be diagnostic and prognostic liquid biopsy biomarkers for BRCA. LncRNAs can regulate transcription by binding to enhancer regions. LncRNAs are also involved in the binding of HOTAIR genes to the histone modification complexes PRC2 and LSD1, promoting H3K27 histone methylation and H3K4 demethylation, leading to target gene shutdown and promoting BRCA metastasis. As for circRNAs, their high stability, abundance, and specific expression make them have considerable clinical potential as new biomarkers. They are mainly involved in the regulation of cell survival, proliferation, and invasion through the MAPK/AKT signaling pathway. Some studies have found that in tumors hsa_circ_0017650 and hsa_circ_0017536 are less expressed in tumor tissues, and it is hypothesized that these two circRNAs may have a tumor suppressor effect in BRCA. In addition to the above conventional liquid biopsy techniques, other biomarkers for different manifestations of tumors are also developing, such as exosomal phosphorylated proteins, DNA methylation products, etc. The most appropriate liquid biopsy method for different manifestations of tumors can be adopted in order to provide an early reference for the diagnosis of the disease.

Locomotor system

Primary malignant bone tumors have a high morbidity and mortality rate in children and adolescents, so accurate and effective screening and diagnostic tools are particularly important. However, the invasive nature of routine tissue biopsy makes it impossible to repeat the sampling during patient prognostic monitoring, and patients are unable to receive sustainable precision medicine. Liquid biopsy, which is currently in the spotlight, overcomes the shortcomings of tissue biopsy and provides a new way of thinking for the diagnosis and prognostic monitoring of malignant tumors. Next, we mainly focus on several common bone tumors, including osteosarcoma (OS), chondrosarcoma (CS), and ewing’s sarcoma (ES), to provide a brief introduction to liquid biopsy techniques. However, since studies related to osteosarcoma and chondrosarcoma are also extremely limited, this section focuses on ewing’s sarcoma (Table 12).

For bone tumors of mesenchymal origin, the ability of conventional assays to detect CTCs is extremely limited due to the obvious tumor heterogeneity and the lack of classical tumor markers, and there is also a lack of relevant studies. However, in a recent study, a team confirmed the presence of CTCs in ES patients based on the immunodetachment of CD99+ tumor cells and magnetic beads, followed by molecular analysis to detect specific fusion transcripts from chromosomal translocations, which provides a new way of detecting CTCs. Nevertheless, the potential clinical significance of CTCs is unclear and needs to be further explored. In patients with ES, the expression of CD99+ and the presence of chromosomal translocations are two of the most important features of the tumor. In particular, the detection of fusion genes such as EWSR1-FLI1, which is frequently present, is the gold standard for the diagnosis of ES and can be detected using genomic fusion sequences.

More studies focus on detection of tumor progression and prediction of prognosis. The detection of ctDNA also has certain clinical significance, as some researchers have analyzed the ctDNA levels of IDH1 mutants in preoperative and postoperative patients with CS and found that the levels of ctDNA were correlated with different tumor grades, and a significant decrease in ctDNA levels was found in most patients who underwent surgical resection. While in OS patients, ctDNA levels also underwent similar changes after treatment., In addition, an increase in chromosome 8q has been observed in the ctDNA of patients with OS, which may be associated with a poorer prognosis. In addition, tumor cell exosomes have received much attention because they carry some of the functional proteins and genes of their “parent” tumor cells and may also play an important role in the pathogenesis, diagnosis, and treatment of primary bone tumors. Micro-fractionated ultracentrifugation is one of the most widely used methods in routine assays and is also a gold standard for exosome isolation. In the past few years, many new integrated microfluidic platforms have been developed for analyzing exosome levels, quantifying disease-specific subpopulations, and characterizing exosomal proteins and RNA at the histological level.– Compared to conventional methods, emerging microfluidic platforms significantly reduce sample volume, reagent consumption, and separation time, while greatly improving separation recoveries and exosome quality levels for higher specificity., However, research in this area is still in its infancy and has great potential for development. Especially for osteosarcoma (OS), miRNA is highly suggestive of disease staging, metastasis, and therapeutic efficacy. As well, most of the studies to date have focused mainly on miRNA of OS, followed by CS and ES, for example, it was found that high expression of miR-135b, miR-150, miR-542-5p, and miR-652 may be associated with the onset and progression of OS. While down-regulation of miR-34b may be associated with metastasis of tumors in OS patients. Compared with non-metastatic patients, miR-34b plasma expression levels were significantly lower in metastatic patients. In CS, multiple miRNAs such as miR-20, miR-96, miR-100, miR-125b, miR-136 and other genes have significantly altered expression levels in both cell lines and tumor samples. And in a recent study, 17 key miRNAs were found to be involved in regulating the formation and growth of chondrosarcoma. Also, miR34a was found to be a potential biomarker for the development of ES. And miR-185 was shown to be involved in the formation and survival of ES cells.

Reproductive system

In this section, we focus on the application of liquid biopsy in the following five reproductive system tumors, including cervical cancer (CC), endometrial carcinoma (EC), ovarian cancer (OC), prostate cancer (PCa), seminoma (Table 13).

Cervical cancer (CC)

Cervical cancer (CC) is the fourth most common cancer among women worldwide, and HPV infection is the main cause of CC patients. Conventional screening and diagnostic tools are easily rejected because of their invasiveness, and as a non-invasive test, liquid biopsy may be an alternative and complementary tool to conventional screening and diagnosis. The following is a brief introduction to several common liquid biopsy methods.

As an extremely important part of liquid biopsy, ctDNA is also clinically significant in patients with CC. Plasma ctDNA levels are significantly higher in patients with CC than in healthy controls and are strongly correlated with FIGO tumor stage, histologic grading, depth of infiltration, and lymphatic metastasis. Multiple studies have confirmed the potential use of this assay in clinical practice. And because of the high association between CC and human papillomavirus (HPV), it is also feasible to screen by detecting HPV cfDNA in the blood. In the detection of circulating HPV cfDNA, a magnetic bead-based HPV genotyping assay (E7-MPG) is an alternative method that is more accurate and significantly more sensitive (96.1%) than conventional dPCR. On the other hand, non-coding RNAs also have important roles in CC development and contribute to the early diagnosis of CC. Among them, lncRNAs and miRNAs have the most important roles. As a kind of lncRNA, HOX transcript antisense intragenic RNA (HOTAIR) is highly expressed in CC patients and promotes the proliferation and migration of tumor cells. Its combination with three other lncRNA (i.e., PVT1, AL592284.1, and XLOC_000303) significantly increased the positive predictive value (88%) and negative predictive value (84%) of CC. Meanwhile, combined testing of multiple miRNAs is often practiced in CC patients and can be more effective than individual testing. Jia et al. identified five serum miRNAs (i.e., miR-21, −25, −29a, −200a, and −486-5p) based on genome-wide miRNA sequencing and quantitative PCR (qPCR) validation, and the combination of these tests can differentiate CC patients from healthy controls.

Moreover, studies have shown that genes such as miR-196a, miR-425-5p, and others have also been shown to be associated with the proliferation and migration of tumor cells in CC., In addition, another strategy for implementing liquid biopsy in CC detection involves the identification of somatic nucleotide variants (SNVs) in cancer driver genes.– Tian et al. used an allelic fraction deviation (AFD) algorithm for evaluation and found that the value of AFD was positively correlated with the prognostic degree of patients. Initially, a phase III randomized clinical trial demonstrated that CTCs counts can be used as a predictive biomarker to guide the treatment of cervical cancer. Current strategies for the detection and isolation of CTCs in CC similarly rely on the physical and morphological characterization of the cells as well as on the identification and quantification of HPV oncogenes and epithelial markers through the use of molecular and/or immunofluorescence procedures.– Compared to the detection of other solid tumors, there are fewer techniques related to the detection of CTCs in CC, and these methods have not yet been recognized.

Endometrial carcinoma (EC)

Endometrial carcinoma (EC) is the most common cancer of the female reproductive tract, and its incidence is increasing year by year,, which seriously affects the quality of life for female patients. Presently, there are no diagnostic techniques available for detecting EC in the general population. Endometrial sample carries the risk of causing discomfort, bleeding, infection, and uterine perforation. Additionally, in up to 25% of cases, a biopsy may not provide enough information to make a diagnosis.Therefore, as an alternative sampling method to traditional tissue biopsy, liquid biopsy has been a boon for early diagnosis in female patients due to its non-invasive nature. In the following, we provide a brief introduction to liquid biopsy methods mainly from the aspects of CTCs, ctDNA, miRNA, and extracellular vesicles.

First, CTCs were also found in patients with endometrial cancer and there was a high correlation between CTCs and EC. The detection rate of CTCs in the peripheral blood of patients with EC was 7–75%. This discrepancy may be related to the population characteristics, CTCs detection techniques, and the number of patients studied. Furthermore, ctDNA is clinically important for EC patients. It has been found that at least one ctDNA mutation can be detected in the peripheral blood of 94% EC patients, which mainly occurs in the CTNNB1, KRAS, PTEN, and PIK3CA genes. In a clinical trial, it was found that miRNA expression levels also differed between healthy adults and EC patients, such as miR-15b(AUC: 0.768), miR-27a(AUC: 0.813), and miR-223(AUC: 0.768) were differentially expressed between endometrial cancer patients and healthy individuals, which is important for improving the diagnosis of endometrial cancer.Another study showed that CTCs were detected in patients with stage III and IV EC or in close proximity to the tumor, but not in patients with early-stage or recurrence, so the prognostic significance of CTCs for patients with EC is still controversial.

And the number of ctDNAs found in the blood increases with the progression of the disease. Moreover, it has been demonstrated that arch-related mutations (DNMT3A and TET2 genes) may be associated with poor prognosis in endometrial cancer patients, and DNMT3A mutations are more likely to be detected in EC patients in particular. The simple method of extraction and the ability to store for a long time prior to analysis make the detection of ctDNAs expected to be a potential marker for the diagnosis of EC. Moreover, a variety of miRNAs have been associated with EC tumorigenesis, invasion, and metastasis. miR-183-5p, miR-429, and miR-146a-5p expression were found to be up-regulated by liquid biopsy examination of saline lavage fluid from patients with endometrial cancer after saline infusion ultrasound intrauterine scintigraphy (SIS) procedure, whereas miR-296-5p and miR-204-5p were decreased. In addition, studies of EVs have found that elevated levels of membrane-bound protein A2 in EVs correlate with high-risk histology, grading, staging, and recurrence risk of EC, suggesting that it may have a role to play in disease surveillance, recurrence, and early disease detection.

In addition to the more mainstream liquid biopsy techniques described above, additional novel assays for the detection of liquid biopsies continue to be developed. For example, for the detection of messenger RNA molecules (mRNA) in plasma samples. However, relatively few studies have been conducted on this substance, probably due to its poor stability, easy degradation, and low levels of circulation, which makes it more difficult to detect and analyze. The detection of DNA methylation in urine may also provide an attractive noninvasive testing strategy for early screening of asymptomatic EC patients.

Ovarian cancer (OC)

Because there are no noticeable symptoms in the initial phases of the disease and no practical tests to detect it, almost 70% of patients with ovarian cancer (OC) are diagnosed in the advanced stages (Stages III and IV). Additionally, biomarkers like CA-125, which are specific to OC, are not sensitive or specific enough for regular screening. Thus, it is crucial to find new OC liquid biopsy markers.

The first is for classical CTCs, which are detected in OC patients by microbeads covered with the epithelial marker MOC31 or a mixture of cytokeratin and epidermal growth factor receptor (EGFR)., The FDA approved the CellSearch® system (Menarini Silicon system, Italy) as the routine gold standard platform for CTCs isolation in clinical practice. Secondly, for ctDNA, the main methods currently used to identify ctDNA in the blood of OC patients are quantitative PCR, ddPCR, whole genome sequencing, and next-generation sequencing, which identify qualitative and quantitative alterations of ctDNA, such as gene fusions, aberrant DNA methylation, tumor-specific variants (TSV), copy number variants, and chromosomal instability. Up to now, most ctDNA identification techniques have focused on TP53 mutations in patients with high-grade plasmacytoid ovarian cancer (HGSOC). The use of ctDNA in OC reflects tumor heterogeneity more accurately than other assays and its shorter half-life makes it more precise compared to CA-125., However, the accuracy of ctDNA samples may be affected by its short half-life and low abundance in torrent blood (<0.5% of total cfDNA). Therefore, ctDNA analysis requires higher sensitivity techniques to minimize false negatives. On the other hand, in OC patients miRNAs are synthesized and activated faster than mRNAs and proteins, with a longer half-life. Therefore, miRNA may be more suitable for early OC detection. Several scholars have conducted studies on this topic, and in general, the current study found that lower overall survival in OC patients was mostly associated with the up-regulation of miR-21, miR-221, miR-141, and miR-429 and downregulation of miR-200c, miR-1290, miR-145, miR-199a, and miR-148a. In most of the studies, miRNA microarrays or NGS have been used to evaluate the miRNAs isolated from patients with ovarian cancer. In contrast to NGS, microarrays are more efficient and less cost-effective, but NGS has the potential to recognize novel miRNAs. In addition to miRNAs, lncRNAs and circRNAs have the potential to be diagnostic and prognostic liquid biopsy biomarkers of OC. CircRNAs are more stable in the peripheral circulation due to their specific covalent closure structure that makes them more resistant to destruction by RNase. It has been found that the expression of circRNAs in the differences between primary and metastatic sites of OC, may be associated with OC progression. As for lncRNAs, there are only partial data suggesting that clinical progression in OC patients is associated with lncRNA expression levels (XIST, H19, LSINCT5, AB073614, HOTAIR, CCAT2, and ANRIL). The diagnostic sensitivity and specificity of lncRNAs in these individuals have not yet been fully established, and no lncRNAs are licensed for therapeutic use, as their specific feasibility remains to be investigated. In addition, it was reported that the total exosome concentration was elevated in serum samples of OC patients, and exosomes of OC patients can carry a large number of miRNAs, therefore, exosomal proteins and miRNAs are the main indicators of exosomes and OC-related studies. Exosomal secreted proteins can be used as predictive or diagnostic indicators of ovarian cancer, e.g., it is seen in plasma and circulating exosomes of patients with OC overexpression of claudin-4 and can be used to monitor tumor progression. And the combined detection of exosomal miRNAs with the routine serum tumor biomarkers CA125 and HE4 can improve the detection rate of OC. In addition to this, thrombocytosis has been associated with increased cancer risk and shorter survival, especially in ovarian cancer. Because tumor cells are able to transcriptionally reprogram TEPs through multiple mechanisms, RNA sequencing of TEPs has become the latest component of liquid biopsy for tumor detection. It is also highly specific in the identification of OC and has been validated as a good test in different races and populations.

Prostate cancer (PCa)

Prostate cancer (PCa) is the second leading cause of cancer-related deaths in men, but the survival rate of PC improves significantly after appropriate treatment, so early screening and diagnosis of this disease is of great importance. Currently, prostate-specific antigen (PSA) and transrectal ultrasound-guided biopsy are mostly used in clinical practice, but the former is not a specific marker for tumors with low sensitivity and specificity, while the latter often causes rejection due to its invasiveness. In contrast, liquid biopsy shows its superiority here, and we will introduce the relevant methods from the following aspects.

Firstly, for the detection of CTCs, in addition to using physical properties, it can also be isolated using its biological properties, such as antibody-antigen interactions. Detection of the number of CTCs in the blood by flow cytometry predicts the prognosis of metastatic desmoplasia-resistant prostate cancer (mCRPC). Briefly, it means that when the number of detected CTCs is higher, the tumor load is higher and the survival prognosis of the patient is worse. And high CTCs phenotypic heterogeneity was also associated with poorer survival outcomes in mCRPC. According to Prostate Cancer, Version 4.2023, NCCN Clinical Practice Guidelines in Oncology, AR-V7 expression on CTCs can help CRPC patients treated with abiraterone/enzalutamide make decisions about their next course of treatment. In terms of CTCs phenotype, Lindsay et al. demonstrated that Ki67 and vimentin expression in CTCs correlates with poor prognosis in mCRPC. Second, plasma ctDNA was found to be a potential clinical marker for the early detection of prostate cancer, and its concentration can come to differentiate between malignant disease and benign hyperplasia of the prostate. Ekkehard Schutz et al. analyzed ctDNA using whole-genome amplification and found differences in the number of ctDNA sequence reads in the 100 kbp interval between patients with PCa and the healthy population. Similar to CTCs, ctDNA can be used to assess the prognosis of cachectic-resistant prostate cancer (CRPC). Analysis of 663 plasma samples from 140 patients with CRPC showed that ctDNA was associated with poor survival prognosis. In addition to testing for specific ctDNAs, quantitative characterization of ctDNA can be used as a less invasive and more reliable prognostic biomarker, especially for DNA methylation. Hypermethylation of glutathione-s-transferase P1 (GSTP1) is the most common epigenetic alteration in PCa, and methylation-specific PCR (MSPCR) for this substance has high sensitivity and specificity to differentiate between normal and neoplastic states. On the other hand, in comparison to the coding genes described above, noncoding RNAs have a unique advantage due to their high tissue and staging specificity for the disease. miRNAs, in turn, have become one of the most widely studied small noncoding RNAs due to their remarkable stability in body fluids.– Serum miR-21 has been reported to be a very useful biomarker. Moreover, it was found that serum miR-21 levels were positively correlated with serum PSA levels in patients with hormone-refractory prostate cancer (HRPC). Thus, it was concluded that MiR-21 has the potential to serve as a marker and predictor of hormone-refractory disease transformation. Detection of miRNAs in the serum of patients with and without tumor recurrence revealed statistically significant differences in the expression of miR-141, miR-146b-3p, and miR-194 between the recurrence and no recurrence groups (P < 0.05). It was hypothesized that the three had potential as biomarkers for predicting disease progression, as they were elevated in PCa patients who subsequently experienced relapse. In addition to this, the clinical significance of some lncRNAs in PCa patients has been gradually emphasized. Among them, a variety of lncRNAs, including PCAT1, PCGEM1, SChLAP1, and PCAT6, have expressed their advantages in different aspects of PCa and so on, which can provide some references for the diagnosis of clinical diseases.– In addition, there are currently major limitations in the development of exosomes in cells due to technological development and associated cost issues. Logozzi et al. found that plasma levels of PSA-expressing EVs were higher in PCa patients than in healthy subjects. Del Re found that AR-V7 variants in the RNAs of EVs predicted response to ARSI. However, another study suggests that EVs may be less predictive than CTCs, which contain a higher amount of AR-V7. Overall, further experimental studies are needed for exosome detection in PCa patients. In addition to routine liquid biopsies, other tests such as protein biomarkers, e.g., PCA3, PSA glycosylation, and DNA methylation biomarkers, etc., are also included. Different tests have different preferences, but they offer great promise for personalized treatment strategies for PCa in the future.

Seminoma

Seminoma is a common malignant tumor in men of reproductive age. However, routine diagnosis is a multi-step process with poor specificity. Liquid biopsy techniques can provide some early warnings to patients. Dora Raos et al. used pyrophosphate sequencing to assess liquid biopsy cfDNA methylation and compared it with samples from healthy volunteers. It was found that cfDNA methylation of OCT3/4, KITLG, and MAGEC2 can be used as potential non-invasive epigenetic biomarkers in liquid biopsies to some extent, but the conclusion still requires further experiments in larger populations. In addition to this, the results of the experiments will inevitably be affected because cancer-specific cfDNA methylation may be masked by cfDNA methylation in healthy cells.

Conclusion and perspective

Tissue biopsy remains the gold standard for tumor diagnosis due to its high level of laboratory standardization, good consistency of results, relatively stable samples, and high accuracy of results. However, there are some drawbacks to tissue biopsy, such as the fact that it is invasive, so the part with the highest risk of complications cannot be sampled, and it is difficult to repeat the sampling, making it unsuitable for regular testing and treatment evaluation. Additionally, the tumor information obtained is heavily influenced by the heterogeneity of the sample and can only reflect the information of the sampling site, among other things. As a result, exploring new screening modalities is beneficial to patient therapy and prognosis. Liquid biopsy is now undergoing rapid progress, however its application in clinical practice is still limited. Compared to standard examination methods, various advantages have been established, including little invasiveness, low risk, multiple repeat sampling, suitability for dynamic monitoring, and the ability to mitigate the effect of tumor heterogeneity to some extent. However, there are several limitations to liquid biopsy, such as a lack of laboratory standardization, which weakens the consistency of test findings from different laboratories, the high requirements for sample manipulation, the need to increase accuracy, and so on.

Liquid biopsy holds significant potential for future applications, although it also presents several areas that require enhancement. One key limitation in the practical use of liquid biopsy is the need to isolate, purify, and detect the markers involved in the monitoring process. Hence, it is imperative to prioritize the advancement of novel detection technologies and analysis platforms, with the establishment of standardized operating procedures and unified data analysis, in order to enhance the accuracy of liquid biopsy in future development. Furthermore, it might be attempted to integrate with the swiftly advancing artificial intelligence, which has the potential to become a more effective way of detection. However, in terms of clinical application, it is important to note that a liquid biopsy can only provide information about specific molecules or biomarkers, and cannot fully capture the complex nature of a disease. Therefore, liquid biopsy cannot completely replace tissue biopsy. Instead, the two methods work together to offer a more comprehensive understanding of the biological aspects of tumors. In order to implement liquid biopsy in a widespread manner in clinical settings, it is necessary to conduct extensive clinical trials, standardize the processes for enriching the samples, and establish consistent methods for downstream analysis.

Hence, the enhancement of detection technology and the integration of liquid biopsy markers or the amalgamation of liquid biopsy with other detection methods could potentially facilitate the advancement and utilization of liquid biopsy technology. Ultimately, liquid biopsy has garnered significant attention and investigation, despite certain remaining research deficiencies. Nevertheless, it holds immense clinical utility.

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    Liu T, Huang T, Shang M, Han G. CircRNA ITCH: insight into its role and clinical application prospect in tumor and non-tumor diseases. Front. Genet. 2022;13:927541.

    Not in our library10.3389/fgene.2022.927541

  92. 92.

    Su K, Yi Q, Dai X, Liu O. Circular RNA ITCH: an emerging multifunctional regulator. Biomolecules. 2022;12:359.

    Not in our library10.3390/biom12030359

  93. 93.

    Kojima T, et al. A simple biological imaging system for detecting viable human circulating tumor cells. J. Clin. Investig. 2009;119:3172-3181.

    Not in our library10.1172/jci38609

  94. 94.

    Gao F, et al. Circulating tumor cell is a common property of brain glioma and promotes the monitoring system. Oncotarget. 2016;7:71330-71340.

    Not in our library10.18632/oncotarget.11114

  95. 95.

    Hu B, et al. Comprehensive atlas of circulating rare cells detected by SE-iFISH and image scanning platform in patients with various diseases. Front. Oncol. 2022;12:821454.

    Not in our library10.3389/fonc.2022.821454

  96. 96.
  97. 97.

    Andree KC, van Dalum G, Terstappen LW. Challenges in circulating tumor cell detection by the CellSearch system. Mol. Oncol. 2016;10:395-407.

    Not in our library10.1016/j.molonc.2015.12.002

  98. 98.

    Kojabad AA, et al. Droplet digital PCR of viral DNA/RNA, current progress, challenges, and future perspectives. J. Med. Virol. 2021;93:4182-4197.

    Not in our library10.1002/jmv.26846

  99. 99.

    Lin C, Liu X, Zheng B, Ke R, Tzeng CM. Liquid biopsy, ctDNA diagnosis through NGS. Life. 2021;11:890.

    Not in our library10.3390/life11090890

  100. 100.

    Mandlik JS, Patil AS, Singh S. Next-generation sequencing (NGS): platforms and applications. J. Pharm. Bioallied Sci. 2024;16:S41-s45.

    Not in our library10.4103/jpbs.jpbs_838_23

  101. 101.
  102. 102.

    Meyer C, Garzia A, Tuschl T. Simultaneous detection of the subcellular localization of RNAs and proteins in cultured cells by combined multicolor RNA-FISH and IF. Methods. 2017;118-119:101-110.

    Not in our library10.1016/j.ymeth.2016.09.010

  103. 103.

    Freeman WM, Walker SJ, Vrana KE. Quantitative RT-PCR: pitfalls and potential. Biotechniques. 1999;26:112-122.

    Not in our library10.2144/99261rv01

  104. 104.

    He SL, Green R. Northern blotting. Methods Enzymol. 2013;530:75-87.

    Not in our library10.1016/b978-0-12-420037-1.00003-8

  105. 105.

    Urbanek MO, Nawrocka AU, Krzyzosiak WJ. Small RNA detection by in situ hybridization methods. Int. J. Mol. Sci. 2015;16:13259-13286.

    Not in our library10.3390/ijms160613259

  106. 106.
  107. 107.

    Zhou Z, et al. Liquid biopsy in hepatocellular carcinoma. Methods Mol. Biol. 2023;2695:213-225.

    Not in our library10.1007/978-1-0716-3346-5_14

  108. 108.

    Ghosh S, et al. The exosome encapsulated microRNAs as circulating diagnostic marker for hepatocellular carcinoma with low alpha-fetoprotein. Int. J. Cancer. 2020;147:2934-2947.

    Not in our library10.1002/ijc.33111

  109. 109.

    Jiang SS, et al. Galectin-3 is associated with a poor prognosis in primary hepatocellular carcinoma. J. Transl. Med. 2014;12:273.

    Not in our library10.1186/s12967-014-0273-3

  110. 110.

    Arbelaiz A, et al. Serum extracellular vesicles contain protein biomarkers for primary sclerosing cholangitis and cholangiocarcinoma. Hepatology. 2017;66:1125-1143.

    Not in our library10.1002/hep.29291

  111. 111.

    von Felden J, et al. Mutations in circulating tumor DNA predict primary resistance to systemic therapies in advanced hepatocellular carcinoma. Oncogene. 2021;40:140-151.

    Not in our library10.1038/s41388-020-01519-1

  112. 112.

    Kisiel JB, et al. Hepatocellular carcinoma detection by plasma methylated DNA: discovery, phase I pilot, and phase II clinical validation. Hepatology. 2019;69:1180-1192.

    Not in our library10.1002/hep.30244

  113. 113.

    Prospective suRveillance for very Early hepatoCellular cARcinoma(PreCar) expert panel. [Expert consensus on early screening strategies for liver cancer in China]. Zhonghua. Gan. Zang. Bing. Za. Zhi.29, 515–522 (2021).

    Not in our library10.3760/cma.j.cn501113-20210605-00264

  114. 114.

    Qi LN, et al. Circulating tumor cells undergoing EMT provide a metric for diagnosis and prognosis of patients with hepatocellular carcinoma. Cancer Res. 2018;78:4731-4744.

    Not in our library10.1158/0008-5472.can-17-2459

  115. 115.

    Park S, Lee EJ, Rim CH, Seong J. Plasma cell-free DNA as a predictive marker after radiotherapy for hepatocellular carcinoma. Yonsei Med. J. 2018;59:470-479.

    Not in our library10.3349/ymj.2018.59.4.470

  116. 116.

    Chen J, Cao SW, Cai Z, Zheng L, Wang Q. Epithelial-mesenchymal transition phenotypes of circulating tumor cells correlate with the clinical stages and cancer metastasis in hepatocellular carcinoma patients. Cancer Biomark. 2017;20:487-498.

    Not in our library10.3233/cbm-170315

  117. 117.

    Bai T, et al. Circulating tumor cells and CXCR4 in the prognosis of hepatocellular carcinoma. Transl. Cancer Res. 2020;9:1384-1394.

    Not in our library10.21037/tcr.2020.01.14

  118. 118.

    Izquierdo-Sanchez L, et al. Cholangiocarcinoma landscape in Europe: diagnostic, prognostic and therapeutic insights from the ENSCCA Registry. J. Hepatol. 2022;76:1109-1121.

    Not in our library10.1016/j.jhep.2021.12.010

  119. 119.

    Valle JW, et al. Biliary cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann. Oncol. 2016;27:v28-v37.

    Not in our library10.1093/annonc/mdw324

  120. 120.

    Wang Y, et al. Diagnostic and prognostic value of circulating miR-21 for cancer: a systematic review and meta-analysis. Gene. 2014;533:389-397.

    Not in our library10.1016/j.gene.2013.09.038

  121. 121.

    Yan Q, et al. The serum MicroRNA signatures for pancreatic cancer detection and operability evaluation. Front. Bioeng. Biotechnol. 2020;8:379.

    Not in our library10.3389/fbioe.2020.00379

  122. 122.

    Correa-Gallego C, et al. Circulating plasma levels of MicroRNA-21 and MicroRNA-221 are potential diagnostic markers for primary intrahepatic cholangiocarcinoma. PLoS ONE. 2016;11:e0163699.

    Not in our library10.1371/journal.pone.0163699

  123. 123.

    Leelawat K, et al. Prognostic relevance of circulating CK19 mRNA in advanced malignant biliary tract diseases. World J. Gastroenterol. 2012;18:175-181.

    Not in our library10.3748/wjg.v18.i2.175

  124. 124.

    Zhou KQ, et al. Circulating osteopontin per tumor volume as a prognostic biomarker for resectable intrahepatic cholangiocarcinoma. Hepatobiliary Surg. Nutr. 2019;8:582-596.

    Not in our library10.21037/hbsn.2019.03.14

  125. 125.

    Julich-Haertel H, et al. Cancer-associated circulating large extracellular vesicles in cholangiocarcinoma and hepatocellular carcinoma. J. Hepatol. 2017;67:282-292.

    Not in our library10.1016/j.jhep.2017.02.024

  126. 126.

    Xu H, et al. Elevation of serum KL-6 mucin levels in patients with cholangiocarcinoma. Hepatogastroenterology. 2008;55:2000-2004.

    Not in our library

  127. 127.

    Leelawat K, Sakchinabut S, Narong S, Wannaprasert J. Detection of serum MMP-7 and MMP-9 in cholangiocarcinoma patients: evaluation of diagnostic accuracy. BMC Gastroenterol. 2009;9:30.

    Not in our library10.1186/1471-230x-9-30

  128. 128.

    Kobayashi S, Werneburg NW, Bronk SF, Kaufmann SH, Gores GJ. Interleukin-6 contributes to Mcl-1 up-regulation and TRAIL resistance via an Akt-signaling pathway in cholangiocarcinoma cells. Gastroenterology. 2005;128:2054-2065.

    Not in our library10.1053/j.gastro.2005.03.010

  129. 129.

    Huang L, et al. Serum CYFRA 21-1 in biliary tract cancers: a reliable biomarker for gallbladder carcinoma and intrahepatic cholangiocarcinoma. Dig. Dis. Sci. 2015;60:1273-1283.

    Not in our library10.1007/s10620-014-3472-0

  130. 130.

    Loosen SH, et al. Elevated levels of circulating osteopontin are associated with a poor survival after resection of cholangiocarcinoma. J. Hepatol. 2017;67:749-757.

    Not in our library10.1016/j.jhep.2017.06.020

  131. 131.

    Yang JD, et al. Circulating tumor cells are associated with poor overall survival in patients with cholangiocarcinoma. Hepatology. 2016;63:148-158.

    Not in our library10.1002/hep.27944

  132. 132.

    Shen N, et al. Bile cell-free DNA as a novel and powerful liquid biopsy for detecting somatic variants in biliary tract cancer. Oncol. Rep. 2019;42:549-560.

    Not in our library10.3892/or.2019.7177

  133. 133.

    Goyal L, et al. Polyclonal secondary FGFR2 mutations drive acquired resistance to FGFR inhibition in patients with FGFR2 fusion-positive cholangiocarcinoma. Cancer Discov. 2017;7:252-263.

    Not in our library10.1158/2159-8290.cd-16-1000

  134. 134.
  135. 135.
  136. 136.
  137. 137.

    Tsukamoto M, Iinuma H, Yagi T, Matsuda K, Hashiguchi Y. Circulating exosomal MicroRNA-21 as a biomarker in each tumor stage of colorectal cancer. Oncology. 2017;92:360-370.

    Not in our library10.1159/000463387

  138. 138.

    Fu F, Jiang W, Zhou L, Chen Z. Circulating exosomal miR-17-5p and miR-92a-3p predict pathologic stage and grade of colorectal cancer. Transl. Oncol. 2018;11:221-232.

    Not in our library10.1016/j.tranon.2017.12.012

  139. 139.
  140. 140.

    Karimi N, et al. Serum overexpression of miR-301a and miR-23a in patients with colorectal cancer. J. Chin. Med Assoc. 2019;82:215-220.

    Not in our library10.1097/jcma.0000000000000031

  141. 141.

    Concepcion CP, Bonetti C, Ventura A. The microRNA-17-92 family of microRNA clusters in development and disease. Cancer J. 2012;18:262-267.

    Not in our library10.1097/ppo.0b013e318258b60a

  142. 142.

    Matsumura T, et al. Exosomal microRNA in serum is a novel biomarker of recurrence in human colorectal cancer. Br. J. Cancer. 2015;113:275-281.

    Not in our library10.1038/bjc.2015.201

  143. 143.

    Yang C, Zhuang W, Hu Y, Zhu L. Clinical significance of peripheral circulating tumor cell counts in colorectal polyps and non-metastatic colorectal cancer. World J. Surg. Oncol. 2018;16:13.

    Not in our library10.1186/s12957-017-1305-2

  144. 144.

    Tsai WS, et al. Novel circulating tumor cell assay for detection of colorectal adenomas and cancer. Clin. Transl. Gastroenterol. 2019;10:e00088.

    Not in our library10.14309/ctg.0000000000000088

  145. 145.

    Ganig N, et al. Proteomic analyses of fibroblast- and serum-derived exosomes identify QSOX1 as a marker for non-invasive detection of colorectal cancer. Cancers. 2021;13:1351.

    Not in our library10.3390/cancers13061351

  146. 146.

    Wang F, Zhang Y, Chen D, Zhang Z, Li Z. Single microbead-based fluorescent aptasensor (SMFA) for direct isolation and in situ quantification of exosomes from plasma. Analyst. 2021;146:3346-3351.

    Not in our library10.1039/d1an00463h

  147. 147.
  148. 148.

    Camera S, et al. Prognostic value of the pace of tumor progression as assessed by serial (18)F-FDG PET/CT scan and liquid biopsy in refractory colorectal cancer: the Coriolan trial. Cancers. 2020;12:2752.

    Not in our library10.3390/cancers12102752

  149. 149.

    Troncarelli Flores BC, et al. Molecular and kinetic analyses of circulating tumor cells as predictive markers of treatment response in locally advanced rectal cancer patients. Cells. 2019;8:641.

    Not in our library10.3390/cells8070641

  150. 150.

    Colorectal Cancer Expert Committee of Chinese Society of Clinical Oncology (CSCO). [Consensus of Chinese experts on clinical detection of molecular markers of colorectal cancer]. Zhonghua. Wei Chang Wai Ke Za Zhi24, 191–197 (2021).

    Not in our library10.3760/cma.j.cn.441530-20201225-00679

  151. 151.

    Osumi H, Shinozaki E, Yamaguchi K, Zembutsu H. Early change in circulating tumor DNA as a potential predictor of response to chemotherapy in patients with metastatic colorectal cancer. Sci. Rep. 2019;9:17358.

    Not in our library10.1038/s41598-019-53711-3

  152. 152.

    Tie J, et al. Prognostic significance of postsurgery circulating tumor DNA in nonmetastatic colorectal cancer: Individual patient pooled analysis of three cohort studies. Int. J. Cancer. 2021;148:1014-1026.

    Not in our library10.1002/ijc.33312

  153. 153.

    (!!! INVALID CITATION !!!)..

    Not in our library

  154. 154.

    Halbrook CJ, Lyssiotis CA, Pasca di Magliano M, Maitra A. Pancreatic cancer: advances and challenges. Cell. 2023;186:1729-1754.

    Not in our library10.1016/j.cell.2023.02.014

  155. 155.

    Stosic K, et al. A comprehensive review of the potential role of liquid biopsy as a diagnostic, prognostic, and predictive biomarker in pancreatic ductal adenocarcinoma. Cells. 2023;13:3.

    Not in our library10.3390/cells13010003

  156. 156.

    Ankeny JS, et al. Circulating tumour cells as a biomarker for diagnosis and staging in pancreatic cancer. Br. J. Cancer. 2016;114:1367-1375.

    Not in our library10.1038/bjc.2016.121

  157. 157.

    Early Diagnosis and Treatment Group, the Oncology Committee of Chinese Medical Association. [Expert consensus of oncology committee of Chinese medical association in early diagnosis and treatment of pancreatic cancer]. Zhonghua Zhong Liu Za Zhi. 2020;42:706-712.

    Not in our library10.3760/cma.j.cn112152-20200508-00426

  158. 158.

    Rhim AD, et al. EMT and dissemination precede pancreatic tumor formation. Cell. 2012;148:349-361.

    Not in our library10.1016/j.cell.2011.11.025

  159. 159.

    Wang R, et al. Diagnostic and prognostic values of KRAS mutations on EUS-FNA specimens and circulating tumor DNA in patients with pancreatic cancer. Clin. Transl. Gastroenterol. 2022;13:e00487.

    Not in our library10.14309/ctg.0000000000000487

  160. 160.

    Razavi P, et al. High-intensity sequencing reveals the sources of plasma circulating cell-free DNA variants. Nat. Med. 2019;25:1928-1937.

    Not in our library10.1038/s41591-019-0652-7

  161. 161.

    Cohen JD, et al. Combined circulating tumor DNA and protein biomarker-based liquid biopsy for the earlier detection of pancreatic cancers. Proc. Natl. Acad. Sci. USA. 2017;114:10202-10207.

    Not in our library10.1073/pnas.1704961114

  162. 162.
  163. 163.

    Wnuk J, Strzelczyk JK, Gisterek I. Clinical value of circulating miRNA in diagnosis, prognosis, screening and monitoring therapy of pancreatic ductal adenocarcinoma-a review of the literature. Int. J. Mol. Sci. 2023;24:5113.

    Not in our library10.3390/ijms24065113

  164. 164.

    Mann DV, Edwards R, Ho S, Lau WY, Glazer G. Elevated tumour marker CA19-9: clinical interpretation and influence of obstructive jaundice. Eur. J. Surg. Oncol. 2000;26:474-479.

    Not in our library10.1053/ejso.1999.0925

  165. 165.

    Dittmar RL, et al. Plasma miRNA biomarkers in limited volume samples for detection of early-stage pancreatic cancer. Cancer Prev. Res. 2021;14:729-740.

    Not in our library10.1158/1940-6207.capr-20-0303

  166. 166.

    Yu S, et al. Plasma extracellular vesicle long RNA profiling identifies a diagnostic signature for the detection of pancreatic ductal adenocarcinoma. Gut. 2020;69:540-550.

    Not in our library10.1136/gutjnl-2019-318860

  167. 167.

    Yeo D, et al. Exploring the clinical utility of pancreatic cancer circulating tumor cells. Int. J. Mol. Sci. 2022;23:1671.

    Not in our library10.3390/ijms23031671

  168. 168.
  169. 169.
  170. 170.

    Gardner KP, Tsai S, Aldakkak M, Gironda S, Adams DL. CXCR4 expression in tumor associated cells in blood is prognostic for progression and survival in pancreatic cancer. PLoS ONE. 2022;17:e0264763.

    Not in our library10.1371/journal.pone.0264763

  171. 171.

    Groot VP, et al. Circulating tumor DNA as a clinical test in resected pancreatic cancer. Clin. Cancer Res. 2019;25:4973-4984.

    Not in our library10.1158/1078-0432.ccr-19-0197

  172. 172.

    Wei T, et al. Monitoring tumor burden in response to FOLFIRINOX chemotherapy via profiling circulating cell-free DNA in pancreatic cancer. Mol. Cancer Ther. 2019;18:196-203.

    Not in our library10.1158/1535-7163.mct-17-1298

  173. 173.

    Lu H, et al. MiR-20a-5p regulates gemcitabine chemosensitivity by targeting RRM2 in pancreatic cancer cells and serves as a predictor for gemcitabine-based chemotherapy. Biosci. Rep. 2019;39:BSR20181374.

    Not in our library10.1042/bsr20181374

  174. 174.

    van der Sijde F, et al. Serum miR-373-3p and miR-194-5p are associated with early tumor progression during FOLFIRINOX treatment in pancreatic cancer patients: a prospective multicenter study. Int. J. Mol. Sci. 2021;22:10902.

    Not in our library10.3390/ijms222010902

  175. 175.
  176. 176.

    Song BG, et al. Detection of circulating tumor cells in resectable pancreatic ductal adenocarcinoma: a prospective evaluation as a prognostic marker. Front. Oncol. 2020;10:616440.

    Not in our library10.3389/fonc.2020.616440

  177. 177.

    Nitschke C, et al. Characterization of RARRES1 expression on circulating tumor cells as unfavorable prognostic marker in resected pancreatic ductal adenocarcinoma patients. Cancers. 2022;14:4405.

    Not in our library10.3390/cancers14184405

  178. 178.

    Ako S, et al. Plasma KRAS mutations predict the early recurrence after surgical resection of pancreatic cancer. Cancer Biol. Ther. 2021;22:564-570.

    Not in our library10.1080/15384047.2021.1980312

  179. 179.

    Guo S, et al. Preoperative detection of KRAS G12D mutation in ctDNA is a powerful predictor for early recurrence of resectable PDAC patients. Br. J. Cancer. 2020;122:857-867.

    Not in our library10.1038/s41416-019-0704-2

  180. 180.

    Kandimalla R, et al. Identification of Serum miRNA signature and establishment of a nomogram for risk stratification in patients with pancreatic ductal adenocarcinoma. Ann. Surg. 2022;275:e229-e237.

    Not in our library10.1097/sla.0000000000003945

  181. 181.

    Yang Z, et al. A multianalyte panel consisting of extracellular vesicle miRNAs and mRNAs, cfDNA, and CA19-9 shows utility for diagnosis and staging of pancreatic ductal adenocarcinoma. Clin. Cancer Res. 2020;26:3248-3258.

    Not in our library10.1158/1078-0432.ccr-19-3313

  182. 182.

    Dbouk M, et al. Diagnostic performance of a tumor marker gene test to personalize serum CA19-9 reference ranges. Clin. Cancer Res. 2023;29:4178-4185.

    Not in our library10.1158/1078-0432.ccr-23-0655

  183. 183.

    Ando Y, et al. Using tumor marker gene variants to improve the diagnostic accuracy of dupan-2 and carbohydrate antigen 19-9 for pancreatic cancer. J. Clin. Oncol. 2024;42:2196-2206.

    Not in our library10.1200/jco.23.01573

  184. 184.

    López MJ, et al. Characteristics of gastric cancer around the world. Crit. Rev. Oncol. Hematol. 2023;181:103841.

    Not in our library10.1016/j.critrevonc.2022.103841

  185. 185.

    Tang L, et al. Diagnostic accuracy of circulating tumor cells detection in gastric cancer: systematic review and meta-analysis. BMC Cancer. 2013;13:314.

    Not in our library10.1186/1471-2407-13-314

  186. 186.

    Park JL, et al. Quantitative analysis of cell-free DNA in the plasma of gastric cancer patients. Oncol. Lett. 2012;3:921-926.

    Not in our library10.3892/ol.2012.592

  187. 187.

    Kim K, et al. Circulating cell-free DNA as a promising biomarker in patients with gastric cancer: diagnostic validity and significant reduction of cfDNA after surgical resection. Ann. Surg. Treat. Res. 2014;86:136-142.

    Not in our library10.4174/astr.2014.86.3.136

  188. 188.

    Ren J, et al. Genome-scale methylation analysis of circulating cell-free DNA in gastric cancer patients. Clin. Chem. 2022;68:354-364.

    Not in our library10.1093/clinchem/hvab204

  189. 189.

    Ko K, et al. Methylation status and long-fragment cell-free DNA are prognostic biomarkers for gastric cancer. Cancer Med. 2021;10:2003-2012.

    Not in our library10.1002/cam4.3755

  190. 190.

    Ma S, et al. As a biomarker for gastric cancer, circPTPN22 regulates the progression of gastric cancer through the EMT pathway. Cancer Cell Int. 2021;21:44.

    Not in our library10.1186/s12935-020-01701-1

  191. 191.

    Roy S, et al. Diagnostic efficacy of circular RNAs as noninvasive, liquid biopsy biomarkers for early detection of gastric cancer. Mol. Cancer. 2022;21:42.

    Not in our library10.1186/s12943-022-01527-7

  192. 192.

    Xu Y, et al. Clinical role of miR-421 as a novel biomarker in diagnosis of gastric cancer patients: a meta-analysis. Medecine. 2022;101:e29242.

    Not in our library10.1097/md.0000000000029242

  193. 193.

    Fu H, et al. Exosomal TRIM3 is a novel marker and therapy target for gastric cancer. J. Exp. Clin. Cancer Res. 2018;37:162.

    Not in our library10.1186/s13046-018-0825-0

  194. 194.

    Ito H, et al. Long-term prognostic impact of circulating tumour cells in gastric cancer patients. World J. Gastroenterol. 2016;22:10232-10241.

    Not in our library10.3748/wjg.v22.i46.10232

  195. 195.

    Huang X, et al. Clinicopathological and prognostic significance of circulating tumor cells in patients with gastric cancer: a meta-analysis. Int. J. Cancer. 2015;136:21-33.

    Not in our library10.1002/ijc.28954

  196. 196.

    Negishi R, et al. Transcriptomic profiling of single circulating tumor cells provides insight into human metastatic gastric cancer. Commun. Biol. 2022;5:20.

    Not in our library10.1038/s42003-021-02937-x

  197. 197.

    Hiraiwa K, et al. Clinical significance of circulating tumor cells in blood from patients with gastrointestinal cancers. Ann. Surg. Oncol. 2008;15:3092-3100.

    Not in our library10.1245/s10434-008-0122-9

  198. 198.

    Zhong Y, et al. Plasma cfDNA as a potential biomarker to evaluate the efficacy of chemotherapy in gastric cancer. Cancer Manag Res. 2020;12:3099-3106.

    Not in our library10.2147/cmar.s243320

  199. 199.

    Qian C, et al. Alu-based cell-free DNA: a novel biomarker for screening of gastric cancer. Oncotarget. 2017;8:54037-54045.

    Not in our library10.18632/oncotarget.11079

  200. 200.

    Bae WJ, et al. miR-4742-5p promotes invasiveness of gastric cancer via targeting Rab43: An in vitro study. Biochem. Biophys. Res. Commun. 2022;613:180-186.

    Not in our library10.1016/j.bbrc.2022.05.044

  201. 201.

    Yifei S, Chunxiao H, Dinuo L. MiR-17-5p inhibits the proliferation and metastasis of gastric cancer cells by targeting PTEN protein. Alter. Ther. Health Med. 2022;28:23-29.

    Not in our library

  202. 202.

    Cai, Y. et al. YncRNA PTCSC3 and lncRNA HULC Negatively affect each other to regulate cancer cell invasion and migration in gastric cancer [Retraction]. Cancer Manag. Res.13, 8003–8004 (2021).

    Not in our library10.2147/cmar.s344967

  203. 203.

    Zheng P, Gao H, Xie X, Lu P. Plasma exosomal hsa_circ_0015286 as a potential diagnostic and prognostic biomarker for gastric cancer. Pathol. Oncol. Res. 2022;28:1610446.

    Not in our library10.3389/pore.2022.1610446

  204. 204.

    Cheng B, et al. Enumeration and characterization of circulating tumor cells and its application in advanced gastric cancer. Onco Targets Ther. 2019;12:7887-7896.

    Not in our library10.2147/ott.s223222

  205. 205.

    Willis J, et al. Validation of microsatellite instability detection using a comprehensive plasma-based genotyping panel. Clin. Cancer Res. 2019;25:7035-7045.

    Not in our library10.1158/1078-0432.ccr-19-1324

  206. 206.

    Azimi M, Totonchi M, Ebrahimi M. Determining the role of MicroRNAs in self-renewal, metastasis and resistance to drugs in human gastric cancer based on data mining approaches: a systematic review. Cell J. 2022;24:1-6.

    Not in our library10.22074/cellj.2022.7173

  207. 207.

    Abbasi A, Hosseinpourfeizi M, Safaralizadeh R. All-trans retinoic acid-mediated miR-30a up-regulation suppresses autophagy and sensitizes gastric cancer cells to cisplatin. Life Sci. 2022;307:120884.

    Not in our library10.1016/j.lfs.2022.120884

  208. 208.

    Zhou F, et al. The regulation of hsacirc_004413 promotes proliferation and drug resistance of gastric cancer cells by acting as a competing endogenous RNA for miR-145-5p. PeerJ. 2022;10:e12629.

    Not in our library10.7717/peerj.12629

  209. 209.

    Fang L, et al. Circular CPM promotes chemoresistance of gastric cancer via activating PRKAA2-mediated autophagy. Clin. Transl. Med. 2022;12:e708.

    Not in our library10.1002/ctm2.708

  210. 210.

    Zhou H, Shen W, Zou H, Lv Q, Shao P. Circulating exosomal long non-coding RNA H19 as a potential novel diagnostic and prognostic biomarker for gastric cancer. J. Int. Med. Res. 2020;48:300060520934297.

    Not in our library10.1177/0300060520934297

  211. 211.

    Matsusaka S, et al. Circulating tumor cells as a surrogate marker for determining response to chemotherapy in patients with advanced gastric cancer. Cancer Sci. 2010;101:1067-1071.

    Not in our library10.1111/j.1349-7006.2010.01492.x

  212. 212.

    Yu P, et al. Application of circulating tumor cells and circulating free DNA from peripheral blood in the prognosis of advanced gastric cancer. J. Oncol. 2022;2022:9635218.

    Not in our library10.1155/2022/9635218

  213. 213.

    Normando SRC, et al. Circulating free plasma tumor DNA in patients with advanced gastric cancer receiving systemic chemotherapy. BMC Clin. Pathol. 2018;18:12.

    Not in our library10.1186/s12907-018-0079-y

  214. 214.

    Lan YT, et al. Clinical relevance of cell-free DNA in gastrointestinal tract malignancy. Oncotarget. 2017;8:3009-3017.

    Not in our library10.18632/oncotarget.13821

  215. 215.

    Karamitrousis EI, et al. Prognostic Role of RASSF1A, SOX17 and Wif-1 promoter methylation status in cell-free DNA of advanced gastric cancer patients. Technol. Cancer Res. Treat. 2021;20:1533033820973279.

    Not in our library10.1177/1533033820973279

  216. 216.

    Nicolazzo C, et al. True conversions from RAS mutant to RAS wild-type in circulating tumor DNA from metastatic colorectal cancer patients as assessed by methylation and mutational signature. Cancer Lett. 2021;507:89-96.

    Not in our library10.1016/j.canlet.2021.03.014

  217. 217.

    Vrba L, et al. DNA methylation biomarkers discovered in silico detect cancer in liquid biopsies from non-small cell lung cancer patients. Epigenetics. 2020;15:419-430.

    Not in our library10.1080/15592294.2019.1695333

  218. 218.

    Ooki A, et al. A panel of novel detection and prognostic methylated DNA markers in primary non-small cell lung cancer and serum DNA. Clin. Cancer Res. 2017;23:7141-7152.

    Not in our library10.1158/1078-0432.ccr-17-1222

  219. 219.

    Yang Z, et al. DNA methylation analysis of selected genes for the detection of early-stage lung cancer using circulating cell-free DNA. Adv. Clin. Exp. Med. 2019;28:355-360.

    Not in our library10.17219/acem/84935

  220. 220.

    Kang SM, et al. The Haptoglobin β chain as a supportive biomarker for human lung cancers. Mol. Biosyst. 2011;7:1167-1175.

    Not in our library10.1039/c0mb00242a

  221. 221.

    Sung HJ, et al. Identification and validation of SAA as a potential lung cancer biomarker and its involvement in metastatic pathogenesis of lung cancer. J. Proteome Res. 2011;10:1383-1395.

    Not in our library10.1021/pr101154j

  222. 222.

    Cabanero M, Tsao MS. Circulating tumour DNA in EGFR-mutant non-small-cell lung cancer. Curr. Oncol. 2018;25:S38-s44.

    Not in our library10.3747/co.25.3761

  223. 223.

    Revelo AE, et al. Liquid biopsy for lung cancers: an update on recent developments. Ann. Transl. Med. 2019;7:349.

    Not in our library10.21037/atm.2019.03.28

  224. 224.

    Li RY, Liang ZY. Circulating tumor DNA in lung cancer: real-time monitoring of disease evolution and treatment response. Chin. Med. J. 2020;133:2476-2485.

    Not in our library10.1097/cm9.0000000000001097

  225. 225.

    Zhang Z, et al. Relationship between circulating tumour cell count and prognosis following chemotherapy in patients with advanced non-small-cell lung cancer. Respirology. 2016;21:519-525.

    Not in our library10.1111/resp.12696

  226. 226.

    Huang J, et al. Deregulation of serum microRNA expression is associated with cigarette smoking and lung cancer. Biomed. Res. Int. 2014;2014:364316.

    Not in our library10.1155/2014/364316

  227. 227.

    Rodríguez M, et al. Different exosome cargo from plasma/bronchoalveolar lavage in non-small-cell lung cancer. Genes Chromosomes Cancer. 2014;53:713-724.

    Not in our library10.1002/gcc.22181

  228. 228.

    Rabinowits G, Gerçel-Taylor C, Day JM, Taylor DD, Kloecker GH. Exosomal microRNA: a diagnostic marker for lung cancer. Clin. Lung Cancer. 2009;10:42-46.

    Not in our library10.3816/clc.2009.n.006

  229. 229.

    Szczerba BM, et al. Neutrophils escort circulating tumour cells to enable cell cycle progression. Nature. 2019;566:553-557.

    Not in our library10.1038/s41586-019-0915-y

  230. 230.

    Rolfo C, et al. Liquid biopsy for advanced NSCLC: a consensus statement from the International Association for the study of Lung Cancer. J. Thorac. Oncol. 2021;16:1647-1662.

    Not in our library10.1016/j.jtho.2021.06.017

  231. 231.

    Lee DH. Treatments for EGFR-mutant non-small cell lung cancer (NSCLC): the road to a success, paved with failures. Pharm. Ther. 2017;174:1-21.

    Not in our library10.1016/j.pharmthera.2017.02.001

  232. 232.

    Sung H, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2021;71:209-249.

    Not in our library10.3322/caac.21660

  233. 233.
  234. 234.

    Yang WY, et al. Liquid biopsy in head and neck squamous cell carcinoma: circulating tumor cells, circulating tumor DNA, and exosomes. Expert Rev. Mol. Diagn. 2020;20:1213-1227.

    Not in our library10.1080/14737159.2020.1855977

  235. 235.

    Payne K, et al. Circulating tumor DNA as a biomarker and liquid biopsy in head and neck squamous cell carcinoma. Head. Neck. 2018;40:1598-1604.

    Not in our library10.1002/hed.25140

  236. 236.

    Yu S, et al. Oral-microbiome-derived signatures enable non-invasive diagnosis of laryngeal cancers. J. Transl. Med. 2023;21:438.

    Not in our library10.1186/s12967-023-04285-2

  237. 237.

    Kawada T, et al. Circulating tumor cells in patients with head and neck squamous cell carcinoma: feasibility of detection and quantitation. Head. Neck. 2017;39:2180-2186.

    Not in our library10.1002/hed.24893

  238. 238.

    Nichols AC, et al. Detection of circulating tumor cells in advanced head and neck cancer using the cell search system. Head. Neck. 2012;34:1440-1444.

    Not in our library10.1002/hed.21941

  239. 239.

    Rizzo MI, et al. Detection of circulating tumor cells in patients with laryngeal cancer using screen cell: comparative pre- and post-operative analysis and association with prognosis. Oncol. Lett. 2020;19:4183-4188.

    Not in our library10.3892/ol.2020.11528

  240. 240.

    Wang Y, et al. Detection of somatic mutations and HPV in the saliva and plasma of patients with head and neck squamous cell carcinomas. Sci. Transl. Med. 2015;7:293ra104.

    Not in our library10.1126/scitranslmed.aaa8507

  241. 241.

    Sanchez-Cespedes M, et al. Gene promoter hypermethylation in tumors and serum of head and neck cancer patients. Cancer Res. 2000;60:892-895.

    Not in our library

  242. 242.

    Schröck A, et al. Free-circulating methylated DNA in blood for diagnosis, staging, prognosis, and monitoring of head and neck squamous cell carcinoma patients: an observational prospective cohort study. Clin. Chem. 2017;63:1288-1296.

    Not in our library10.1373/clinchem.2016.270207

  243. 243.
  244. 244.

    Yu X, Li Z. The role of microRNAs expression in laryngeal cancer. Oncotarget. 2015;6:23297-23305.

    Not in our library10.18632/oncotarget.4195

  245. 245.

    Wang J, et al. Combined detection of serum exosomal miR-21 and HOTAIR as diagnostic and prognostic biomarkers for laryngeal squamous cell carcinoma. Med. Oncol. 2014;31:148.

    Not in our library10.1007/s12032-014-0148-8

  246. 246.

    Wang JL, Wang X, Yang D, Shi WJ. The expression of MicroRNA-155 in plasma and tissue is matched in human laryngeal squamous cell carcinoma. Yonsei Med. J. 2016;57:298-305.

    Not in our library10.3349/ymj.2016.57.2.298

  247. 247.

    Powrózek T, et al. miRNA-130a significantly improves accuracy of SGA nutritional assessment tool in prediction of malnutrition and cachexia in radiotherapy-treated head and neck cancer patients. Cancers. 2018;10:294.

    Not in our library10.3390/cancers10090294

  248. 248.

    Cao YC, et al. Serum miR-632 is a potential marker for the diagnosis and prognosis in laryngeal squamous cell carcinoma. Acta Otolaryngol. 2020;140:418-421.

    Not in our library10.1080/00016489.2020.1717610

  249. 249.

    Hsu, C. L., Chang, Y. S. & Li, H. P. Molecular diagnosis of nasopharyngeal carcinoma: past and future. Biomed. J. 100748, 10.1016/j.bj.2024.100748 (2024).

    Not in our library10.1016/j.bj.2024.100748

  250. 250.

    Tan R, et al. Clinical utility of Epstein-Barr virus DNA and other liquid biopsy markers in nasopharyngeal carcinoma. Cancer Commun. 2020;40:564-585.

    Not in our library10.1002/cac2.12100

  251. 251.

    Lo YM, et al. Quantitative and temporal correlation between circulating cell-free Epstein-Barr virus DNA and tumor recurrence in nasopharyngeal carcinoma. Cancer Res. 1999;59:5452-5455.

    Not in our library

  252. 252.

    Chan, K. A. et al. Analysis of plasma Epstein-Barr virus DNA to screen for nasopharyngeal cancer. N. Engl. J. Med.378, 973 (2018).

    Not in our library10.1056/nejmx180004

  253. 253.

    Hsu CL, et al. Plasma Epstein-Barr virus DNA concentration and clearance rate as novel prognostic factors for metastatic nasopharyngeal carcinoma. Head Neck. 2012;34:1064-1070.

    Not in our library10.1002/hed.21890

  254. 254.

    Zheng XH, et al. Saliva biopsy: detecting the difference of EBV DNA methylation in the diagnosis of nasopharyngeal carcinoma. Int. J. Cancer. 2023;153:882-892.

    Not in our library10.1002/ijc.34561

  255. 255.

    Wu CF, et al. Liquid biopsy posttreatment surveillance in endemic nasopharyngeal carcinoma: a cost-effective strategy to integrate circulating cell-free Epstein-Barr virus DNA. BMC Med. 2021;19:193.

    Not in our library10.1186/s12916-021-02076-4

  256. 256.

    Sheu LF, et al. Enhanced malignant progression of nasopharyngeal carcinoma cells mediated by the expression of Epstein-Barr nuclear antigen 1 in vivo. J. Pathol. 1996;180:243-248.

    Not in our library10.1002/(sici)1096-9896(199611)180:3<243::aid-path655>3.0.co;2-7

  257. 257.

    Murono S, et al. Detection of Epstein-Barr virus in nasopharyngeal carcinoma by in situ hybridization and polymerase chain reaction. Laryngoscope. 1997;107:523-526.

    Not in our library10.1097/00005537-199704000-00017

  258. 258.

    Wong AM, Kong KL, Tsang JW, Kwong DL, Guan XY. Profiling of Epstein-Barr virus-encoded microRNAs in nasopharyngeal carcinoma reveals potential biomarkers and oncomirs. Cancer. 2012;118:698-710.

    Not in our library10.1002/cncr.26309

  259. 259.
  260. 260.

    Zhao Z, et al. Applications of cerebrospinal fluid circulating tumor DNA in the diagnosis of gliomas. Jpn. J. Clin. Oncol. 2020;50:325-332.

    Not in our library10.1093/jjco/hyz156

  261. 261.

    Borba LAB, Passos G, Oliveira I. Liquid biopsy and tumor DNA/RNA detection in the cerebrospinal fluid of patients diagnosed with central nervous system glioma—a review article. Surg. Neurol. Int. 2023;14:183.

    Not in our library10.25259/sni_52_2023

  262. 262.

    Li K, et al. Imaging and liquid biopsy for distinguishing true progression from pseudoprogression in gliomas, current advances and challenges. Acad. Radiol. 2024;31:3366-3383.

    Not in our library10.1016/j.acra.2024.03.019

  263. 263.

    Thege FI, et al. Microfluidic immunocapture of circulating pancreatic cells using parallel EpCAM and MUC1 capture: characterization, optimization and downstream analysis. Lab Chip. 2014;14:1775-1784.

    Not in our library10.1039/c4lc00041b

  264. 264.

    Sullivan JP, et al. Brain tumor cells in circulation are enriched for mesenchymal gene expression. Cancer Discov. 2014;4:1299-1309.

    Not in our library10.1158/2159-8290.cd-14-0471

  265. 265.

    Wick M, Gross CC, Isenmann S, Strik H. Cytology of cerebrospinal fluid: standards, importance and modern methods. Nervenarzt. 2016;87:1276-1281.

    Not in our library10.1007/s00115-016-0219-5

  266. 266.

    Nabors LB, et al. Central nervous system cancers, version 3.2020, NCCN clinical practice guidelines in oncology. J. Natl. Compr. Cancer Netw. 2020;18:1537-1570.

    Not in our library10.6004/jnccn.2020.0052

  267. 267.
  268. 268.

    Orzan F, et al. Liquid biopsy of cerebrospinal fluid enables selective profiling of glioma molecular subtypes at first clinical presentation. Clin. Cancer Res. 2023;29:1252-1266.

    Not in our library10.1158/1078-0432.ccr-22-2903

  269. 269.

    Macarthur KM, et al. Detection of brain tumor cells in the peripheral blood by a telomerase promoter-based assay. Cancer Res. 2014;74:2152-2159.

    Not in our library10.1158/0008-5472.can-13-0813

  270. 270.

    Müller C, et al. Hematogenous dissemination of glioblastoma multiforme. Sci. Transl. Med. 2014;6:247ra101.

    Not in our library10.1126/scitranslmed.3009095

  271. 271.

    Anfossi S, Babayan A, Pantel K, Calin GA. Clinical utility of circulating non-coding RNAs—an update. Nat. Rev. Clin. Oncol. 2018;15:541-563.

    Not in our library10.1038/s41571-018-0035-x

  272. 272.

    Wierzbicki K, et al. Targeting and therapeutic monitoring of H3K27M-mutant glioma. Curr. Oncol. Rep. 2020;22:19.

    Not in our library10.1007/s11912-020-0877-0

  273. 273.

    Bettegowda C, et al. Detection of circulating tumor DNA in early- and late-stage human malignancies. Sci. Transl. Med. 2014;6:224ra224.

    Not in our library10.1126/scitranslmed.3007094

  274. 274.

    Ghodsi M, Shahmohammadi M, Modarressi MH, Karami F. Investigation of promoter methylation of MCPH1 gene in circulating cell-free DNA of brain tumor patients. Exp. Brain Res. 2020;238:1903-1909.

    Not in our library10.1007/s00221-020-05848-1

  275. 275.

    Westphal M, Lamszus K. Circulating biomarkers for gliomas. Nat. Rev. Neurol. 2015;11:556-566.

    Not in our library10.1038/nrneurol.2015.171

  276. 276.

    Manterola L, et al. A small noncoding RNA signature found in exosomes of GBM patient serum as a diagnostic tool. Neuro Oncol. 2014;16:520-527.

    Not in our library10.1093/neuonc/not218

  277. 277.

    Akers JC, et al. A cerebrospinal fluid microRNA signature as biomarker for glioblastoma. Oncotarget. 2017;8:68769-68779.

    Not in our library10.18632/oncotarget.18332

  278. 278.

    Shao H, et al. Protein typing of circulating microvesicles allows real-time monitoring of glioblastoma therapy. Nat. Med. 2012;18:1835-1840.

    Not in our library10.1038/nm.2994

  279. 279.

    Setti M, et al. Extracellular vesicle-mediated transfer of CLIC1 protein is a novel mechanism for the regulation of glioblastoma growth. Oncotarget. 2015;6:31413-31427.

    Not in our library10.18632/oncotarget.5105

  280. 280.

    Hiemcke-Jiwa LS, et al. Molecular analysis in liquid biopsies for diagnostics of primary central nervous system lymphoma: review of literature and future opportunities. Crit. Rev. Oncol. Hematol. 2018;127:56-65.

    Not in our library10.1016/j.critrevonc.2018.05.010

  281. 281.

    Baraniskin A, Schroers R. Modern cerebrospinal fluid analyses for the diagnosis of diffuse large B-cell lymphoma of the CNS. CNS Oncol. 2014;3:77-85.

    Not in our library10.2217/cns.13.63

  282. 282.

    Akhter A, et al. Differential expression of Toll-like receptor (TLR) and B cell receptor (BCR) signaling molecules in primary diffuse large B-cell lymphoma of the central nervous system. J. Neurooncol. 2015;121:289-296.

    Not in our library10.1007/s11060-014-1655-3

  283. 283.

    Chapuy B, et al. Targetable genetic features of primary testicular and primary central nervous system lymphomas. Blood. 2016;127:869-881.

    Not in our library10.1182/blood-2015-10-673236

  284. 284.

    Yamaguchi J, et al. Rapid detection of the MYD88 L265P mutation for pre- and intra-operative diagnosis of primary central nervous system lymphoma. Cancer Sci. 2023;114:2544-2551.

    Not in our library10.1111/cas.15762

  285. 285.

    Hiemcke-Jiwa LS, et al. The use of droplet digital PCR in liquid biopsies: a highly sensitive technique for MYD88 p.(L265P) detection in cerebrospinal fluid. Hematol. Oncol. 2018;36:429-435.

    Not in our library10.1002/hon.2489

  286. 286.
  287. 287.

    Fontanilles M, et al. Non-invasive detection of somatic mutations using next-generation sequencing in primary central nervous system lymphoma. Oncotarget. 2017;8:48157-48168.

    Not in our library10.18632/oncotarget.18325

  288. 288.

    Hou Y, Zi J, Liu S, Ge Q, Ge Z. Mutational profiling of circulating tumor DNA and clinical characteristics in lymphoma: based on next generation sequencing. Mol. Carcinog. 2023;62:200-209.

    Not in our library10.1002/mc.23476

  289. 289.

    Hu Y, et al. Exosomal miR-200c and miR-141 as cerebrospinal fluid biopsy biomarkers for the response to chemotherapy in primary central nervous system lymphoma. Discov. Oncol. 2023;14:205.

    Not in our library10.1007/s12672-023-00812-1

  290. 290.

    Mathieu M, Martin-Jaular L, Lavieu G, Théry C. Specificities of secretion and uptake of exosomes and other extracellular vesicles for cell-to-cell communication. Nat. Cell Biol. 2019;21:9-17.

    Not in our library10.1038/s41556-018-0250-9

  291. 291.

    Deng Y, et al. Phosphoproteome analysis of cerebrospinal fluid extracellular vesicles in primary central nervous system lymphoma. Analyst. 2023;148:3594-3602.

    Not in our library10.1039/d3an00670k

  292. 292.

    Ikeguchi R, Shimizu Y, Shimizu S, Kitagawa K. CSF and clinical data are useful in differentiating CNS inflammatory demyelinating disease from CNS lymphoma. Mult. Scler. 2018;24:1212-1223.

    Not in our library10.1177/1352458517717804

  293. 293.

    Sasagawa Y, Akai T, Tachibana O, Iizuka H. Diagnostic value of interleukin-10 in cerebrospinal fluid for diffuse large B-cell lymphoma of the central nervous system. J. Neurooncol. 2015;121:177-183.

    Not in our library10.1007/s11060-014-1622-z

  294. 294.

    Shao J, et al. High level of IL-10 in cerebrospinal fluid is specific for diagnosis of primary central nervous system lymphoma. Cancer Manag Res. 2020;12:6261-6268.

    Not in our library10.2147/cmar.s255482

  295. 295.

    Viaccoz A, et al. CSF neopterin level as a diagnostic marker in primary central nervous system lymphoma. Neuro Oncol. 2015;17:1497-1503.

    Not in our library10.1093/neuonc/nov092

  296. 296.

    Kubiliute R, Jarmalaite S. Epigenetic biomarkers of renal cell carcinoma for liquid biopsy tests. Int. J. Mol. Sci. 2021;22:8846.

    Not in our library10.3390/ijms22168846

  297. 297.

    Li M, et al. Liquid biopsy at the frontier in renal cell carcinoma: recent analysis of techniques and clinical application. Mol. Cancer. 2023;22:37.

    Not in our library10.1186/s12943-023-01745-7

  298. 298.
  299. 299.

    Nuzzo PV, et al. Detection of renal cell carcinoma using plasma and urine cell-free DNA methylomes. Nat. Med. 2020;26:1041-1043.

    Not in our library10.1038/s41591-020-0933-1

  300. 300.

    Chen X, et al. Identification of a four-microRNA panel in serum for screening renal cell carcinoma. Pathol. Res. Pract. 2021;227:153625.

    Not in our library10.1016/j.prp.2021.153625

  301. 301.

    Di Meo A, et al. Prognostic urinary miRNAs for the assessment of small renal masses. Clin. Biochem. 2020;75:15-22.

    Not in our library10.1016/j.clinbiochem.2019.10.002

  302. 302.

    Heinemann FG, et al. Serum miR-122-5p and miR-206 expression: non-invasive prognostic biomarkers for renal cell carcinoma. Clin. Epigenet. 2018;10:11.

    Not in our library10.1186/s13148-018-0444-9

  303. 303.

    Outeiro-Pinho G, et al. MicroRNA-30a-5p(me): a novel diagnostic and prognostic biomarker for clear cell renal cell carcinoma in tissue and urine samples. J. Exp. Clin. Cancer Res. 2020;39:98.

    Not in our library10.1186/s13046-020-01600-3

  304. 304.

    Di Meo A, et al. Searching for prognostic biomarkers for small renal masses in the urinary proteome. Int. J. Cancer. 2020;146:2315-2325.

    Not in our library10.1002/ijc.32650

  305. 305.

    Xu W, et al. Plasma KIM-1 is associated with recurrence risk after nephrectomy for localized renal cell carcinoma: a trial of the ECOG-ACRIN Research Group (E2805). Clin. Cancer Res. 2021;27:3397-3403.

    Not in our library10.1158/1078-0432.ccr-21-0025

  306. 306.

    Sato T, et al. Accurate quantification of urinary metabolites for predictive models manifest clinicopathology of renal cell carcinoma. Cancer Sci. 2020;111:2570-2578.

    Not in our library10.1111/cas.14440

  307. 307.

    Wang Z, et al. UPLC-MS-based urine untargeted metabolomic analyses to differentiate bladder cancer from renal cell carcinoma. BMC Cancer. 2019;19:1195.

    Not in our library10.1186/s12885-019-6354-1

  308. 308.

    Yamamoto Y, et al. Clinical significance of the mutational landscape and fragmentation of circulating tumor DNA in renal cell carcinoma. Cancer Sci. 2019;110:617-628.

    Not in our library10.1111/cas.13906

  309. 309.
  310. 310.

    Del Re M, et al. The amount of DNA combined with TP53 mutations in liquid biopsy is associated with clinical outcome of renal cancer patients treated with immunotherapy and VEGFR-TKIs. J. Transl. Med. 2022;20:371.

    Not in our library10.1186/s12967-022-03557-7

  311. 311.

    Bacon JVW, et al. Plasma circulating tumor DNA and clonal hematopoiesis in metastatic renal cell carcinoma. Clin. Genitourin. Cancer. 2020;18:322-331.e322.

    Not in our library10.1016/j.clgc.2019.12.018

  312. 312.

    Koh Y, et al. Early dynamics of circulating tumor DNA predict clinical response to immune checkpoint inhibitors in metastatic renal cell carcinoma. Int. J. Urol. 2022;29:462-469.

    Not in our library10.1111/iju.14816

  313. 313.

    Mytsyk Y, et al. MicroRNA-15a expression measured in urine samples as a potential biomarker of renal cell carcinoma. Int. Urol. Nephrol. 2018;50:851-859.

    Not in our library10.1007/s11255-018-1841-x

  314. 314.

    Wang ZL, et al. Dynamic changes of different phenotypic and genetic circulating tumor cells as a biomarker for evaluating the prognosis of RCC. Cancer Biol. Ther. 2019;20:505-512.

    Not in our library10.1080/15384047.2018.1537576

  315. 315.

    Zhang W, et al. MicroRNAs in serum exosomes as potential biomarkers in clear-cell renal cell carcinoma. Eur. Urol. Focus. 2018;4:412-419.

    Not in our library10.1016/j.euf.2016.09.007

  316. 316.

    Xiao CT, Lai WJ, Zhu WA, Wang H. MicroRNA derived from circulating exosomes as noninvasive biomarkers for diagnosing renal cell carcinoma. Onco Targets Ther. 2020;13:10765-10774.

    Not in our library10.2147/ott.s271606

  317. 317.

    Guo R, et al. LncRNA RCAT1 promotes tumor progression and metastasis via miR-214-5p/E2F2 axis in renal cell carcinoma. Cell Death Dis. 2021;12:689.

    Not in our library10.1038/s41419-021-03955-7

  318. 318.

    Liu H, et al. circPTCH1 promotes invasion and metastasis in renal cell carcinoma via regulating miR-485-5p/MMP14 axis. Theranostics. 2020;10:10791-10807.

    Not in our library10.7150/thno.47239

  319. 319.

    Li Y, et al. Piwi-interacting RNAs (piRNAs) are dysregulated in renal cell carcinoma and associated with tumor metastasis and cancer-specific survival. Mol. Med. 2015;21:381-388.

    Not in our library10.2119/molmed.2014.00203

  320. 320.

    Zhao C, et al. Mitochondrial PIWI-interacting RNAs are novel biomarkers for clear cell renal cell carcinoma. World J. Urol. 2019;37:1639-1647.

    Not in our library10.1007/s00345-018-2575-1

  321. 321.

    Piao XM, Cha EJ, Yun SJ, Kim WJ. Role of exosomal miRNA in bladder cancer: a promising liquid biopsy biomarker. Int. J. Mol. Sci. 2021;22:1713.

    Not in our library10.3390/ijms22041713

  322. 322.

    Li S, et al. Blood-based liquid biopsy: insights into early detection, prediction, and treatment monitoring of bladder cancer. Cell Mol. Biol. Lett. 2023;28:28.

    Not in our library10.1186/s11658-023-00442-z

  323. 323.

    Qi F, et al. Quantitation of rare circulating tumor cells by folate receptor α ligand-targeted PCR in bladder transitional cell carcinoma and its potential diagnostic significance. Tumour Biol. 2014;35:7217-7223.

    Not in our library10.1007/s13277-014-1894-0

  324. 324.

    Valenzuela MT, et al. Assessing the use of p16(INK4a) promoter gene methylation in serum for detection of bladder cancer. Eur. Urol. 2002;42:622-628.

    Not in our library10.1016/s0302-2838(02)00468-2

  325. 325.

    Ellinger J, et al. Hypermethylation of cell-free serum DNA indicates worse outcome in patients with bladder cancer. J. Urol. 2008;179:346-352.

    Not in our library10.1016/j.juro.2007.08.091

  326. 326.

    Domínguez G, et al. p14ARF promoter hypermethylation in plasma DNA as an indicator of disease recurrence in bladder cancer patients. Clin. Cancer Res. 2002;8:980-985.

    Not in our library

  327. 327.

    Lin YL, Sun G, Liu XQ, Li WP, Ma JG. Clinical significance of CDH13 promoter methylation in serum samples from patients with bladder transitional cell carcinoma. J. Int. Med. Res. 2011;39:179-186.

    Not in our library10.1177/147323001103900119

  328. 328.

    Feng Y, et al. miR-19a acts as an oncogenic microRNA and is up-regulated in bladder cancer. J. Exp. Clin. Cancer Res. 2014;33:67.

    Not in our library10.1186/s13046-014-0067-8

  329. 329.

    Adam L, et al. Plasma microRNA profiles for bladder cancer detection. Urol. Oncol. 2013;31:1701-1708.

    Not in our library10.1016/j.urolonc.2012.06.010

  330. 330.

    Jiang X, et al. Serum microRNA expression signatures as novel noninvasive biomarkers for prediction and prognosis of muscle-invasive bladder cancer. Oncotarget. 2016;7:36733-36742.

    Not in our library10.18632/oncotarget.9166

  331. 331.

    Jiang X, et al. Serum microRNA expression signatures identified from genome-wide microRNA profiling serve as novel noninvasive biomarkers for diagnosis and recurrence of bladder cancer. Int. J. Cancer. 2015;136:854-862.

    Not in our library10.1002/ijc.29041

  332. 332.

    Liang Z, Liu L, Gao R, Che C, Yang G. Downregulation of exosomal miR-7-5p promotes breast cancer migration and invasion by targeting RYK and participating in the atypical WNT signalling pathway. Cell Mol. Biol. Lett. 2022;27:88.

    Not in our library10.1186/s11658-022-00393-x

  333. 333.

    Yin X, et al. Exosomal miR-663b targets Ets2-repressor factor to promote proliferation and the epithelial-mesenchymal transition of bladder cancer cells. Cell Biol. Int. 2020;44:958-965.

    Not in our library10.1002/cbin.11292

  334. 334.

    Cai Q, et al. Urine BLCA-4 exerts potential role in detecting patients with bladder cancers: a pooled analysis of individual studies. Oncotarget. 2015;6:37500-37510.

    Not in our library10.18632/oncotarget.6061

  335. 335.

    Roupret M, et al. Diagnostic accuracy of MCM5 for the detection of recurrence in nonmuscle invasive bladder cancer followup: a blinded, prospective cohort, multicenter European study. J. Urol. 2020;204:685-690.

    Not in our library10.1097/ju.0000000000001084

  336. 336.

    Southgate J, Harnden P, Trejdosiewicz LK. Cytokeratin expression patterns in normal and malignant urothelium: a review of the biological and diagnostic implications. Histol. Histopathol. 1999;14:657-664.

    Not in our library10.14670/hh-14.657

  337. 337.

    Hosen MI, et al. Urinary TERT promoter mutations are detectable up to 10 years prior to clinical diagnosis of bladder cancer: evidence from the Golestan Cohort Study. EBioMedicine. 2020;53:102643.

    Not in our library10.1016/j.ebiom.2020.102643

  338. 338.

    Hernández S, et al. Prospective study of FGFR3 mutations as a prognostic factor in nonmuscle invasive urothelial bladder carcinomas. J. Clin. Oncol. 2006;24:3664-3671.

    Not in our library10.1200/jco.2005.05.1771

  339. 339.

    Haga N, et al. Increase in circulating tumor cells in invasive bladder cancer after transurethral resection of bladder tumor. Anticancer Res. 2020;40:4299-4307.

    Not in our library10.21873/anticanres.14432

  340. 340.

    Gazzaniga P, et al. Circulating tumor cells detection has independent prognostic impact in high-risk non-muscle invasive bladder cancer. Int. J. Cancer. 2014;135:1978-1982.

    Not in our library10.1002/ijc.28830

  341. 341.

    Gazzaniga P, et al. Prognostic value of circulating tumor cells in nonmuscle invasive bladder cancer: a CellSearch analysis. Ann. Oncol. 2012;23:2352-2356.

    Not in our library10.1093/annonc/mdr619

  342. 342.
  343. 343.

    Raimondi C, Gradilone A, Gazzaniga P. Circulating tumor cells in early bladder cancer: insight into micrometastatic disease. Expert Rev. Mol. Diagn. 2014;14:407-409.

    Not in our library10.1586/14737159.2014.908119

  344. 344.

    Zhang Z, et al. The prognostic and diagnostic value of circulating tumor cells in bladder cancer and upper tract urothelial carcinoma: a meta-analysis of 30 published studies. Oncotarget. 2017;8:59527-59538.

    Not in our library10.18632/oncotarget.18521

  345. 345.

    Beije N, et al. Circulating tumour cells to drive the use of neoadjuvant chemotherapy in patients with muscle-invasive bladder cancer. ESMO Open. 2022;7:100416.

    Not in our library10.1016/j.esmoop.2022.100416

  346. 346.

    Anantharaman A, et al. Programmed death-ligand 1 (PD-L1) characterization of circulating tumor cells (CTCs) in muscle invasive and metastatic bladder cancer patients. BMC Cancer. 2016;16:744.

    Not in our library10.1186/s12885-016-2758-3

  347. 347.

    Corcoran RB, Chabner BA. Application of cell-free DNA analysis to cancer treatment. N. Engl. J. Med. 2018;379:1754-1765.

    Not in our library10.1056/nejmra1706174

  348. 348.

    Raja R, et al. Early reduction in ctDNA predicts survival in patients with lung and bladder cancer treated with durvalumab. Clin. Cancer Res. 2018;24:6212-6222.

    Not in our library10.1158/1078-0432.ccr-18-0386

  349. 349.

    Shohdy KS, et al. Serial ctDNA analysis predicts clinical progression in patients with advanced urothelial carcinoma. Br. J. Cancer. 2022;126:430-439.

    Not in our library10.1038/s41416-021-01648-8

  350. 350.

    Birkenkamp-Demtröder K, et al. Monitoring treatment response and metastatic relapse in advanced bladder cancer by liquid biopsy analysis. Eur. Urol. 2018;73:535-540.

    Not in our library10.1016/j.eururo.2017.09.011

  351. 351.

    de Kruijff IE, et al. Liquid biopsies to select patients for perioperative chemotherapy in muscle-invasive bladder cancer: a systematic review. Eur. Urol. Oncol. 2021;4:204-214.

    Not in our library10.1016/j.euo.2020.01.003

  352. 352.

    Powles T, et al. ctDNA guiding adjuvant immunotherapy in urothelial carcinoma. Nature. 2021;595:432-437.

    Not in our library10.1038/s41586-021-03642-9

  353. 353.
  354. 354.

    Koguchi D, et al. Diagnostic potential of circulating tumor cells, urinary MicroRNA, and urinary cell-free DNA for bladder cancer: a review. Int. J. Mol. Sci. 2022;23:9148.

    Not in our library10.3390/ijms23169148

  355. 355.

    Zheng H, Liu J, Pan X, Cui X. Biomarkers for patients with Wilms tumor: a review. Front. Oncol. 2023;13:1137346.

    Not in our library10.3389/fonc.2023.1137346

  356. 356.

    Miguez ACK, et al. Assessment of somatic mutations in urine and plasma of Wilms tumor patients. Cancer Med. 2020;9:5948-5959.

    Not in our library10.1002/cam4.3236

  357. 357.
  358. 358.

    Treger TD, et al. Somatic TP53 mutations are detectable in circulating tumor DNA from children with anaplastic Wilms tumors. Transl. Oncol. 2018;11:1301-1306.

    Not in our library10.1016/j.tranon.2018.08.006

  359. 359.

    Madanat-Harjuoja LM, et al. Circulating tumor DNA as a biomarker in patients with stage III and IV Wilms tumor: analysis from a Children’s Oncology Group Trial, AREN0533. J. Clin. Oncol. 2022;40:3047-3056.

    Not in our library10.1200/jco.22.00098

  360. 360.

    Perotti D, et al. Hallmark discoveries in the biology of Wilms tumour. Nat. Rev. Urol. 2024;21:158-180.

    Not in our library10.1038/s41585-023-00824-0

  361. 361.

    Stern M, Longaker MT, Adzick NS, Harrison MR, Stern R. Hyaluronidase levels in urine from Wilms’ tumor patients. J. Natl. Cancer Inst. 1991;83:1569-1574.

    Not in our library10.1093/jnci/83.21.1569

  362. 362.

    Lin RY, Argenta PA, Sullivan KM, Adzick NS. Diagnostic and prognostic role of basic fibroblast growth factor in Wilms’ tumor patients. Clin. Cancer Res. 1995;1:327-331.

    Not in our library

  363. 363.

    Padullés B, et al. Prognostic value of liquid-biopsy-based biomarkers in upper tract urothelial carcinoma. Int. J. Mol. Sci. 2024;25:3695.

    Not in our library10.3390/ijms25073695

  364. 364.

    Nakano K, et al. Fragmentation of cell-free DNA is induced by upper-tract urothelial carcinoma-associated systemic inflammation. Cancer Sci. 2021;112:168-177.

    Not in our library10.1111/cas.14679

  365. 365.

    Blumendeller C, et al. Use of plasma ctDNA as a potential biomarker for longitudinal monitoring of a patient with metastatic high-risk upper tract urothelial carcinoma receiving pembrolizumab and personalized neoepitope-derived multipeptide vaccinations: a case report. J. Immunother. Cancer. 2021;9:e001406.

    Not in our library10.1136/jitc-2020-001406

  366. 366.
  367. 367.

    Ghoreifi A, et al. A urine-based DNA methylation marker test to detect upper tract urothelial carcinoma: a prospective cohort study. J. Urol. 2023;209:854-862.

    Not in our library10.1097/ju.0000000000003188

  368. 368.

    Ge G, et al. Urothelial carcinoma detection based on copy number profiles of urinary cell-free DNA by shallow whole-genome sequencing. Clin. Chem. 2020;66:188-198.

    Not in our library10.1373/clinchem.2019.309633

  369. 369.

    Lu H, et al. Aristolochic acid mutational signature defines the low-risk subtype in upper tract urothelial carcinoma. Theranostics. 2020;10:4323-4333.

    Not in our library10.7150/thno.43251

  370. 370.

    Chalfin HJ, et al. Circulating tumor cell and circulating tumor DNA assays reveal complementary information for patients with metastatic urothelial cancer. Eur. Urol. Oncol. 2021;4:310-314.

    Not in our library10.1016/j.euo.2019.08.004

  371. 371.

    Xu Y, et al. A urine-based liquid biopsy method for detection of upper tract urinary carcinoma. Front. Oncol. 2020;10:597486.

    Not in our library10.3389/fonc.2020.597486

  372. 372.

    Urabe F, et al. Independent verification of circulating miRNA as diagnostic biomarkers for urothelial carcinoma. Cancer Sci. 2022;113:3510-3517.

    Not in our library10.1111/cas.15496

  373. 373.

    Kriebel S, et al. Analysis of tissue and serum microRNA expression in patients with upper urinary tract urothelial cancer. PLoS ONE. 2015;10:e0117284.

    Not in our library10.1371/journal.pone.0117284

  374. 374.

    Montalbo R, et al. Prognostic value of circulating microRNAs in upper tract urinary carcinoma. Oncotarget. 2018;9:16691-16700.

    Not in our library10.18632/oncotarget.24672

  375. 375.

    Li Y, et al. Identification of plasma secreted phosphoprotein 1 as a novel biomarker for upper tract urothelial carcinomas. Biomed. Pharmacother. 2019;113:108744.

    Not in our library10.1016/j.biopha.2019.108744

  376. 376.

    Hsu YP, et al. Instrument-free detection of FXYD3 using vial-based immunosensor for earlier and faster urothelial carcinoma diagnosis. ACS Sens. 2020;5:928-935.

    Not in our library10.1021/acssensors.9b02013

  377. 377.

    Mori K, et al. Prognostic value of preoperative blood-based biomarkers in upper tract urothelial carcinoma treated with nephroureterectomy: a systematic review and meta-analysis. Urol. Oncol. 2020;38:315-333.

    Not in our library10.1016/j.urolonc.2020.01.015

  378. 378.

    Traeger L, et al. Serum Hepcidin and GDF-15 levels as prognostic markers in urothelial carcinoma of the upper urinary tract and renal cell carcinoma. BMC Cancer. 2019;19:74.

    Not in our library10.1186/s12885-019-5278-0

  379. 379.

    Rogers A, et al. Relative increase in leukemia-specific DNA in peripheral blood plasma from patients with acute myeloid leukemia and myelodysplasia. Blood. 2004;103:2799-2801.

    Not in our library10.1182/blood-2003-06-1840

  380. 380.

    Zhao P, et al. Using circulating tumor DNA to monitor myelodysplastic syndromes status. Hematol. Oncol. 2019;37:531-533.

    Not in our library10.1002/hon.2649

  381. 381.

    Ruan M, et al. Targeted next-generation sequencing of circulating tumor DNA, bone marrow, and peripheral blood mononuclear cells in pediatric AML. Front. Oncol. 2021;11:666470.

    Not in our library10.3389/fonc.2021.666470

  382. 382.

    Garcia-Gisbert N, et al. Molecular and cytogenetic characterization of myelodysplastic syndromes in cell-free DNA. Blood Adv. 2022;6:3178-3188.

    Not in our library10.1182/bloodadvances.2021006565

  383. 383.

    Gao YJ, et al. Increased integrity of circulating cell-free DNA in plasma of patients with acute leukemia. Clin. Chem. Lab Med. 2010;48:1651-1656.

    Not in our library10.1515/cclm.2010.311

  384. 384.

    Božic T, et al. Investigation of measurable residual disease in acute myeloid leukemia by DNA methylation patterns. Leukemia. 2022;36:80-89.

    Not in our library10.1038/s41375-021-01316-z

  385. 385.

    Suzuki Y, et al. Peripheral blood cell-free DNA is an alternative tumor DNA source reflecting disease status in myelodysplastic syndromes. Cancer Sci. 2016;107:1329-1337.

    Not in our library10.1111/cas.12994

  386. 386.

    Yao CY, et al. Distinct mutation profile and prognostic relevance in patients with hypoplastic myelodysplastic syndromes (h-MDS). Oncotarget. 2016;7:63177-63188.

    Not in our library10.18632/oncotarget.11050

  387. 387.

    Liu LP, et al. Early detection of molecular residual disease and risk stratification for children with acute myeloid leukemia via circulating tumor DNA. Clin. Cancer Res. 2024;30:1143-1151.

    Not in our library10.1158/1078-0432.ccr-23-2589

  388. 388.

    Xue Y, et al. Applications of circulating tumor DNA in myelodysplastic syndromes and acute myeloid leukemia: promises and challenges. Front. Biosci. (Landmark Ed.). 2024;29:86.

    Not in our library10.31083/j.fbl2902086

  389. 389.

    Nakamura S, et al. Prognostic impact of circulating tumor DNA status post-allogeneic hematopoietic stem cell transplantation in AML and MDS. Blood. 2019;133:2682-2695.

    Not in our library10.1182/blood-2018-10-880690

  390. 390.

    Rossi D, et al. Diffuse large B-cell lymphoma genotyping on the liquid biopsy. Blood. 2017;129:1947-1957.

    Not in our library10.1182/blood-2016-05-719641

  391. 391.

    Scherer F, et al. Distinct biological subtypes and patterns of genome evolution in lymphoma revealed by circulating tumor DNA. Sci. Transl. Med. 2016;8:364ra155.

    Not in our library10.1126/scitranslmed.aai8545

  392. 392.

    Roschewski M, et al. Circulating tumour DNA and CT monitoring in patients with untreated diffuse large B-cell lymphoma: a correlative biomarker study. Lancet Oncol. 2015;16:541-549.

    Not in our library10.1016/s1470-2045(15)70106-3

  393. 393.

    Lauer EM, Mutter J, Scherer F. Circulating tumor DNA in B-cell lymphoma: technical advances, clinical applications, and perspectives for translational research. Leukemia. 2022;36:2151-2164.

    Not in our library10.1038/s41375-022-01618-w

  394. 394.

    Kurtz DM, et al. Dynamic risk profiling using serial tumor biomarkers for personalized outcome prediction. Cell. 2019;178:699-713.e619.

    Not in our library10.1016/j.cell.2019.06.011

  395. 395.

    Kurtz DM, et al. Enhanced detection of minimal residual disease by targeted sequencing of phased variants in circulating tumor DNA. Nat. Biotechnol. 2021;39:1537-1547.

    Not in our library10.1038/s41587-021-00981-w

  396. 396.

    Oki Y, et al. Detection of classical Hodgkin lymphoma specific sequence in peripheral blood using a next-generation sequencing approach. Br. J. Haematol. 2015;169:689-693.

    Not in our library10.1111/bjh.13349

  397. 397.

    Desch AK, et al. Genotyping circulating tumor DNA of pediatric Hodgkin lymphoma. Leukemia. 2020;34:151-166.

    Not in our library10.1038/s41375-019-0541-6

  398. 398.

    Roschewski M, Rossi D, Kurtz DM, Alizadeh AA, Wilson WH. Circulating tumor DNA in lymphoma: principles and future directions. Blood Cancer Discov. 2022;3:5-15.

    Not in our library10.1158/2643-3230.bcd-21-0029

  399. 399.

    Spina V, et al. Circulating tumor DNA reveals genetics, clonal evolution, and residual disease in classical Hodgkin lymphoma. Blood. 2018;131:2413-2425.

    Not in our library10.1182/blood-2017-11-812073

  400. 400.

    Mutter JA, et al. Circulating tumor DNA profiling for detection, risk stratification, and classification of brain lymphomas. J. Clin. Oncol. 2023;41:1684-1694.

    Not in our library10.1200/jco.22.00826

  401. 401.

    Roemer MGM, et al. Major histocompatibility complex class II and programmed death ligand 1 expression predict outcome after programmed death 1 blockade in classic Hodgkin lymphoma. J. Clin. Oncol. 2018;36:942-950.

    Not in our library10.1200/jco.2017.77.3994

  402. 402.

    Li S, Zhang E, Cai Z. Liquid biopsy by analysis of circulating myeloma cells and cell-free nucleic acids: a novel noninvasive approach of disease evaluation in multiple myeloma. Biomark. Res. 2023;11:27.

    Not in our library10.1186/s40364-023-00469-6

  403. 403.

    Garcés JJ, et al. Circulating tumor cells for comprehensive and multiregional non-invasive genetic characterization of multiple myeloma. Leukemia. 2020;34:3007-3018.

    Not in our library10.1038/s41375-020-0883-0

  404. 404.
  405. 405.

    Rustad EH, et al. Monitoring multiple myeloma by quantification of recurrent mutations in serum. Haematologica. 2017;102:1266-1272.

    Not in our library10.3324/haematol.2016.160564

  406. 406.

    Mithraprabhu S, et al. Circulating tumour DNA analysis demonstrates spatial mutational heterogeneity that coincides with disease relapse in myeloma. Leukemia. 2017;31:1695-1705.

    Not in our library10.1038/leu.2016.366

  407. 407.

    Mithraprabhu S, Sirdesai S, Chen M, Khong T, Spencer A. Circulating tumour DNA analysis for tumour genome characterisation and monitoring disease burden in extramedullary multiple myeloma. Int J. Mol. Sci. 2018;19:1858.

    Not in our library10.3390/ijms19071858

  408. 408.

    Gerber B, et al. Circulating tumor DNA as a liquid biopsy in plasma cell dyscrasias. Haematologica. 2018;103:e245-e248.

    Not in our library10.3324/haematol.2017.184358

  409. 409.

    Coffey DG, et al. High-throughput drug screening and multi-omic analysis to guide individualized treatment for multiple myeloma. JCO Precis. Oncol. 2021;5:PO.20.00442.

    Not in our library10.1200/po.20.00442

  410. 410.

    Li S, et al. Targeting the GCK pathway: a novel and selective therapeutic strategy against RAS-mutated multiple myeloma. Blood. 2021;137:1754-1764.

    Not in our library10.1182/blood.2020006334

  411. 411.

    Giesen N, et al. A phase 2 clinical trial of combined BRAF/MEK inhibition for BRAFV600E-mutated multiple myeloma. Blood. 2023;141:1685-1690.

    Not in our library10.1182/blood.2022017789

  412. 412.

    Brown RL, de Souza JA, Cohen EE. Thyroid cancer: burden of illness and management of disease. J. Cancer. 2011;2:193-199.

    Not in our library10.7150/jca.2.193

  413. 413.

    Kure S, Ohashi R. Thyroid Hürthle cell carcinoma: clinical, pathological, and molecular features. Cancers. 2020;13:26.

    Not in our library10.3390/cancers13010026

  414. 414.

    Schlumberger M, Leboulleux S. Current practice in patients with differentiated thyroid cancer. Nat. Rev. Endocrinol. 2021;17:176-188.

    Not in our library10.1038/s41574-020-00448-z

  415. 415.
  416. 416.

    Feng Z, et al. Circulating tumor cells in the early detection of human cancers. Int. J. Biol. Sci. 2022;18:3251-3265.

    Not in our library10.7150/ijbs.71768

  417. 417.

    Ehlers M, et al. Increased numbers of circulating tumor cells in thyroid cancer patients. Horm. Metab. Res. 2018;50:602-608.

    Not in our library10.1055/a-0651-4913

  418. 418.

    Zane M, et al. Circulating cell-free DNA, SLC5A8 and SLC26A4 hypermethylation, BRAF(V600E): a non-invasive tool panel for early detection of thyroid cancer. Biomed. Pharmacother. 2013;67:723-730.

    Not in our library10.1016/j.biopha.2013.06.007

  419. 419.

    Liu Y, Geng H, Liu X, Cao M, Zhang X. A meta-analysis of circulating microRNAs in the diagnosis of papillary thyroid carcinoma. PLoS One. 2021;16:e0251676.

    Not in our library10.1371/journal.pone.0251676

  420. 420.

    Delcorte O, et al. Two miRNAs enriched in plasma extracellular vesicles are potential biomarkers for thyroid cancer. Endocr. Relat. Cancer. 2022;29:389-401.

    Not in our library10.1530/erc-21-0343

  421. 421.

    Sato T, et al. Circulating tumor cells detected by reverse transcription-polymerase chain reaction for carcinoembryonic antigen mRNA: distinguishing follicular thyroid carcinoma from adenoma. Surgery. 2005;137:552-558.

    Not in our library10.1016/j.surg.2004.11.006

  422. 422.

    Qiu ZL, et al. Circulating tumor cells correlate with clinicopathological features and outcomes in differentiated thyroid cancer. Cell Physiol. Biochem. 2018;48:718-730.

    Not in our library10.1159/000491898

  423. 423.

    Yan C, Huang M, Li X, Wang T, Ling R. Relationship between BRAF V600E and clinical features in papillary thyroid carcinoma. Endocr. Connect. 2019;8:988-996.

    Not in our library10.1530/ec-19-0246

  424. 424.

    Allin DM, et al. Circulating tumour DNA is a potential biomarker for disease progression and response to targeted therapy in advanced thyroid cancer. Eur. J. Cancer. 2018;103:165-175.

    Not in our library10.1016/j.ejca.2018.08.013

  425. 425.

    Ciampi R, et al. Pre- and post-operative circulating tumoral DNA in patients with medullary thyroid carcinoma. J. Clin. Endocrinol. Metab. 2022;107:e3420-e3427.

    Not in our library10.1210/clinem/dgac222

  426. 426.

    Lubitz CC, et al. Circulating BRAF(V600E) levels correlate with treatment in patients with thyroid carcinoma. Thyroid. 2018;28:328-339.

    Not in our library10.1089/thy.2017.0322

  427. 427.

    Cote GJ, et al. Prognostic significance of circulating RET M918T mutated tumor DNA in patients with advanced medullary thyroid carcinoma. J. Clin. Endocrinol. Metab. 2017;102:3591-3599.

    Not in our library10.1210/jc.2017-01039

  428. 428.

    Cradic KW, et al. Mutant BRAF(T1799A) can be detected in the blood of papillary thyroid carcinoma patients and correlates with disease status. J. Clin. Endocrinol. Metab. 2009;94:5001-5009.

    Not in our library10.1210/jc.2009-1349

  429. 429.

    Qin Y, et al. Clinical utility of circulating cell-free DNA mutations in anaplastic thyroid carcinoma. Thyroid. 2021;31:1235-1243.

    Not in our library10.1089/thy.2020.0296

  430. 430.

    Hu S, et al. Detection of serum deoxyribonucleic acid methylation markers: a novel diagnostic tool for thyroid cancer. J. Clin. Endocrinol. Metab. 2006;91:98-104.

    Not in our library10.1210/jc.2005-1810

  431. 431.

    Wen Q, Wang Y, Li X, Jin X, Wang G. Decreased serum exosomal miR-29a expression and its clinical significance in papillary thyroid carcinoma. J. Clin. Lab. Anal. 2021;35:e23560.

    Not in our library10.1002/jcla.23560

  432. 432.

    Lee JC, et al. Papillary thyroid cancer-derived exosomes contain miRNA-146b and miRNA-222. J. Surg. Res. 2015;196:39-48.

    Not in our library10.1016/j.jss.2015.02.027

  433. 433.

    Toraih EA, et al. Diagnostic and prognostic performance of liquid biopsy-derived exosomal microRNAs in thyroid cancer patients: a systematic review and meta-analysis. Cancers. 2021;13:4295.

    Not in our library10.3390/cancers13174295

  434. 434.

    Chen W, et al. Cancer statistics in China, 2015. CA Cancer J. Clin. 2016;66:115-132.

    Not in our library10.3322/caac.21338

  435. 435.

    Freitas AJA, et al. Liquid Biopsy as a Tool for the Diagnosis, Treatment, and Monitoring of Breast Cancer. Int. J. Mol. Sci. 2022;23:9952.

    Not in our library10.3390/ijms23179952

  436. 436.

    Guttery DS, et al. Noninvasive detection of activating estrogen receptor 1 (ESR1) mutations in estrogen receptor-positive metastatic breast cancer. Clin. Chem. 2015;61:974-982.

    Not in our library10.1373/clinchem.2015.238717

  437. 437.

    Garcia-Murillas I, et al. Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer. Sci. Transl. Med. 2015;7:302ra133.

    Not in our library10.1126/scitranslmed.aab0021

  438. 438.

    Beaver JA, et al. Detection of cancer DNA in plasma of patients with early-stage breast cancer. Clin. Cancer Res. 2014;20:2643-2650.

    Not in our library10.1158/1078-0432.ccr-13-2933

  439. 439.

    Rugo HS, et al. Alpelisib plus fulvestrant in PIK3CA-mutated, hormone receptor-positive advanced breast cancer after a CDK4/6 inhibitor (BYLieve): one cohort of a phase 2, multicentre, open-label, non-comparative study. Lancet Oncol. 2021;22:489-498.

    Not in our library10.1016/s1470-2045(21)00034-6

  440. 440.

    Hai L, Li L, Liu Z, Tong Z, Sun Y. Whole-genome circulating tumor DNA methylation landscape reveals sensitive biomarkers of breast cancer. MedComm. 2022;3:e134.

    Not in our library10.1002/mco2.134

  441. 441.
  442. 442.
  443. 443.

    Li M, et al. Circulating microRNAs from the miR-106a-363 cluster on chromosome X as novel diagnostic biomarkers for breast cancer. Breast Cancer Res. Treat. 2018;170:257-270.

    Not in our library10.1007/s10549-018-4757-3

  444. 444.

    Liu C, et al. Single-exosome-counting immunoassays for cancer diagnostics. Nano Lett. 2018;18:4226-4232.

    Not in our library10.1021/acs.nanolett.8b01184

  445. 445.

    Racila E, et al. Detection and characterization of carcinoma cells in the blood. Proc. Natl Acad. Sci. USA. 1998;95:4589-4594.

    Not in our library10.1073/pnas.95.8.4589

  446. 446.

    Ozkumur E, et al. Inertial focusing for tumor antigen-dependent and -independent sorting of rare circulating tumor cells. Sci. Transl. Med. 2013;5:179ra147.

    Not in our library10.1126/scitranslmed.3005616

  447. 447.

    Hvichia GE, et al. A novel microfluidic platform for size and deformability based separation and the subsequent molecular characterization of viable circulating tumor cells. Int. J. Cancer. 2016;138:2894-2904.

    Not in our library10.1002/ijc.30007

  448. 448.

    Allard WJ, et al. Tumor cells circulate in the peripheral blood of all major carcinomas but not in healthy subjects or patients with nonmalignant diseases. Clin. Cancer Res. 2004;10:6897-6904.

    Not in our library10.1158/1078-0432.ccr-04-0378

  449. 449.

    Gradishar WJ, et al. Breast cancer, version 3.2022, NCCN clinical practice guidelines in oncology. J. Natl Compr. Cancer Netw. 2022;20:691-722.

    Not in our library10.6004/jnccn.2022.0030

  450. 450.

    Dawson SJ, et al. Analysis of circulating tumor DNA to monitor metastatic breast cancer. N. Engl. J. Med. 2013;368:1199-1209.

    Not in our library10.1056/nejmoa1213261

  451. 451.

    Famta P, et al. Enigmatic role of exosomes in breast cancer progression and therapy. Life Sci. 2022;289:120210.

    Not in our library10.1016/j.lfs.2021.120210

  452. 452.

    Nakamura S, et al. Multi-center study evaluating circulating tumor cells as a surrogate for response to treatment and overall survival in metastatic breast cancer. Breast Cancer. 2010;17:199-204.

    Not in our library10.1007/s12282-009-0139-3

  453. 453.

    Jiang Z, et al. Chinese Society of Clinical Oncology (CSCO) breast cancer guidelines 2022. Transl. Breast Cancer Res. 2022;3:13.

    Not in our library10.21037/tbcr-22-21

  454. 454.

    Cristiano S, et al. Genome-wide cell-free DNA fragmentation in patients with cancer. Nature. 2019;570:385-389.

    Not in our library10.1038/s41586-019-1272-6

  455. 455.
  456. 456.

    Tierno D, Grassi G, Zanconati F, Dapas B, Scaggiante B. Plasma circular RNAs as biomarkers for breast cancer. Biomedicines. 2024;12:875.

    Not in our library10.3390/biomedicines12040875

  457. 457.

    Benini S, et al. Detection of circulating tumor cells in liquid biopsy from Ewing sarcoma patients. Cancer Manag Res. 2018;10:49-60.

    Not in our library10.2147/cmar.s141623

  458. 458.

    Krumbholz M, et al. Genomic EWSR1 fusion sequence as highly sensitive and dynamic plasma tumor marker in Ewing sarcoma. Clin. Cancer Res. 2016;22:4356-4365.

    Not in our library10.1158/1078-0432.ccr-15-3028

  459. 459.

    Gutteridge A, et al. Digital PCR analysis of circulating tumor DNA: a biomarker for chondrosarcoma diagnosis, prognostication, and residual disease detection. Cancer Med. 2017;6:2194-2202.

    Not in our library10.1002/cam4.1146

  460. 460.

    Klega K, et al. Detection of somatic structural variants enables quantification and characterization of circulating tumor DNA in children With solid tumors. JCO Precis. Oncol. 2018;2018:PO.17.00285.

    Not in our library10.1200/po.17.00285

  461. 461.

    McBride DJ, et al. Use of cancer-specific genomic rearrangements to quantify disease burden in plasma from patients with solid tumors. Genes Chromosomes Cancer. 2010;49:1062-1069.

    Not in our library10.1002/gcc.20815

  462. 462.
  463. 463.

    Momen-Heravi F, et al. Current methods for the isolation of extracellular vesicles. Biol. Chem. 2013;394:1253-1262.

    Not in our library10.1515/hsz-2013-0141

  464. 464.
  465. 465.
  466. 466.

    Vaidyanathan R, et al. Detecting exosomes specifically: a multiplexed device based on alternating current electrohydrodynamic induced nanoshearing. Anal. Chem. 2014;86:11125-11132.

    Not in our library10.1021/ac502082b

  467. 467.
  468. 468.

    Gholizadeh S, et al. Microfluidic approaches for isolation, detection, and characterization of extracellular vesicles: current status and future directions. Biosens. Bioelectron. 2017;91:588-605.

    Not in our library10.1016/j.bios.2016.12.062

  469. 469.

    Liga A, Vliegenthart AD, Oosthuyzen W, Dear JW, Kersaudy-Kerhoas M. Exosome isolation: a microfluidic road-map. Lab. Chip. 2015;15:2388-2394.

    Not in our library10.1039/c5lc00240k

  470. 470.

    Nugent M. MicroRNA function and dysregulation in bone tumors: the evidence to date. Cancer Manag. Res. 2014;6:15-25.

    Not in our library10.2147/cmar.s53928

  471. 471.

    Lulla RR, et al. Identification of differentially expressed MicroRNAs in osteosarcoma. Sarcoma. 2011;2011:732690.

    Not in our library10.1155/2011/732690

  472. 472.

    Tian Q, et al. A causal role for circulating miR-34b in osteosarcoma. Eur. J. Surg. Oncol. 2014;40:67-72.

    Not in our library10.1016/j.ejso.2013.08.024

  473. 473.

    Urdinez J, et al. The miR-143/145 cluster, a novel diagnostic biomarker in chondrosarcoma, acts as a tumor suppressor and directly inhibits Fascin-1. J. Bone Min. Res. 2020;35:1077-1091.

    Not in our library10.1002/jbmr.3976

  474. 474.

    Parafioriti A, et al. Expression profiling of microRNAs and isomiRs in conventional central chondrosarcoma. Cell Death Discov. 2020;6:46.

    Not in our library10.1038/s41420-020-0282-3

  475. 475.

    Sciandra M, et al. Circulating miR34a levels as a potential biomarker in the follow-up of Ewing sarcoma. J. Cell Commun. Signal. 2020;14:335-347.

    Not in our library10.1007/s12079-020-00567-2

  476. 476.

    Zhang S, Li D, Jiao GJ, Wang HL, Yan TB. miR-185 suppresses progression of Ewing’s sarcoma via inhibiting the PI3K/AKT and Wnt/β-catenin pathways. Onco Targets Ther. 2018;11:7967-7977.

    Not in our library10.2147/ott.s167771

  477. 477.

    Cafforio P, et al. Liquid biopsy in cervical cancer: hopes and pitfalls. Cancers. 2021;13:3968.

    Not in our library10.3390/cancers13163968

  478. 478.

    Thangarajah F, et al. Digital droplet PCR-based quantification of ccfHPV-DNA as liquid biopsy in HPV-driven cervical and vulvar cancer. J. Cancer Res. Clin. Oncol. 2023;149:12597-12604.

    Not in our library10.1007/s00432-023-05077-3

  479. 479.

    Charo LM, et al. Clinical implications of plasma circulating tumor DNA in gynecologic cancer patients. Mol. Oncol. 2021;15:67-79.

    Not in our library10.1002/1878-0261.12791

  480. 480.
  481. 481.
  482. 482.

    Sun W, et al. Four circulating long non-coding RNAs act as biomarkers for predicting cervical cancer. Gynecol. Obstet. Investig. 2018;83:533-539.

    Not in our library10.1159/000487595

  483. 483.

    Jia W, et al. Expression profile of circulating microRNAs as a promising fingerprint for cervical cancer diagnosis and monitoring. Mol. Clin. Oncol. 2015;3:851-858.

    Not in our library10.3892/mco.2015.560

  484. 484.

    Liu P, Xin F, Ma CF. Clinical significance of serum miR-196a in cervical intraepithelial neoplasia and cervical cancer. Genet. Mol. Res. 2015;14:17995-18002.

    Not in our library10.4238/2015.december.22.25

  485. 485.

    Sun L, et al. MicoRNA-425-5p is a potential prognostic biomarker for cervical cancer. Ann. Clin. Biochem. 2017;54:127-133.

    Not in our library10.1177/0004563216649377

  486. 486.

    Page K, et al. Next generation sequencing of circulating cell-free DNA for evaluating mutations and gene amplification in metastatic breast cancer. Clin. Chem. 2017;63:532-541.

    Not in our library10.1373/clinchem.2016.261834

  487. 487.

    Bohers E, et al. Somatic mutations of cell-free circulating DNA detected by next-generation sequencing reflect the genetic changes in both germinal center B-cell-like and activated B-cell-like diffuse large B-cell lymphomas at the time of diagnosis. Haematologica. 2015;100:e280-e284.

    Not in our library10.3324/haematol.2015.123612

  488. 488.

    Chicard M, et al. Whole-exome sequencing of cell-free DNA reveals temporo-spatial heterogeneity and identifies treatment-resistant clones in neuroblastoma. Clin. Cancer Res. 2018;24:939-949.

    Not in our library10.1158/1078-0432.ccr-17-1586

  489. 489.

    Tian X, et al. Dynamic analysis of circulating tumor DNA to predict prognosis and monitor therapeutic response in metastatic relapsed cervical cancer. Int. J. Cancer. 2021;148:921-931.

    Not in our library10.1002/ijc.33362

  490. 490.

    Tewari KS, et al. Circulating Tumor Cells In Advanced Cervical Cancer: NRG Oncology-Gynecologic Oncology Group Study 240 (NCT 00803062). Mol. Cancer Ther. 2020;19:2363-2370.

    Not in our library10.1158/1535-7163.mct-20-0276

  491. 491.

    Weismann P, et al. The detection of circulating tumor cells expressing E6/E7 HR-HPV oncogenes in peripheral blood in cervical cancer patients after radical hysterectomy. Neoplasma. 2009;56:230-238.

    Not in our library10.4149/neo_2009_03_230

  492. 492.

    Obermayr E, et al. Assessment of a six gene panel for the molecular detection of circulating tumor cells in the blood of female cancer patients. BMC Cancer. 2010;10:666.

    Not in our library10.1186/1471-2407-10-666

  493. 493.

    Kiss I, Kolostova K, Pawlak I, Bobek V. Circulating tumor cells in gynaecological malignancies. J. Buon. 2020;25:40-50.

    Not in our library

  494. 494.

    Du K, et al. Circulating tumor cells counting act as a potential prognostic factor in cervical cancer. Technol. Cancer Res. Treat. 2020;19:1533033820957005.

    Not in our library10.1177/1533033820957005

  495. 495.

    Constantine GD, Kessler G, Graham S, Goldstein SR. Increased incidence of endometrial cancer following the women’s health initiative: an assessment of risk factors. J. Women’s. Health. 2019;28:237-243.

    Not in our library10.1089/jwh.2018.6956

  496. 496.

    Lortet-Tieulent J, Ferlay J, Bray F, Jemal A. International patterns and trends in endometrial cancer incidence, 1978-2013. J. Natl. Cancer Inst. 2018;110:354-361.

    Not in our library10.1093/jnci/djx214

  497. 497.

    Shen Y, Shi R, Zhao R, Wang H. Clinical application of liquid biopsy in endometrial carcinoma. Med. Oncol. 2023;40:92.

    Not in our library10.1007/s12032-023-01956-4

  498. 498.

    Kiss I, et al. Correlation between disease stage and the presence of viable circulating tumor cells in endometrial cancer. Anticancer Res. 2018;38:2983-2987.

    Not in our library10.21873/anticanres.12550

  499. 499.

    Bogani G, et al. Detection of circulating tumor cells in high-risk endometrial cancer. Anticancer Res. 2015;35:683-687.

    Not in our library

  500. 500.

    Bolivar AM, et al. Targeted next-generation sequencing of endometrial cancer and matched circulating tumor DNA: identification of plasma-based, tumor-associated mutations in early-stage patients. Mod. Pathol. 2019;32:405-414.

    Not in our library10.1038/s41379-018-0158-8

  501. 501.

    Wang L, et al. Circulating microRNAs as a fingerprint for endometrial endometrioid adenocarcinoma. PLoS One. 2014;9:e110767.

    Not in our library10.1371/journal.pone.0110767

  502. 502.

    Buscail E, et al. Tumor-proximal liquid biopsy to improve diagnostic and prognostic performances of circulating tumor cells. Mol. Oncol. 2019;13:1811-1826.

    Not in our library10.1002/1878-0261.12534

  503. 503.

    Grant BM, Pugh TJ, Oza AM. Molecular monitoring in endometrial cancer-ready for prime time? Clin. Cancer Res. 2023;29:305-308.

    Not in our library10.1158/1078-0432.ccr-22-2781

  504. 504.

    He D, et al. DNMT3A/3B overexpression might be correlated with poor patient survival, hypermethylation and low expression of ESR1/PGR in endometrioid carcinoma: an analysis of The Cancer Genome Atlas. Chin. Med J. 2019;132:161-170.

    Not in our library10.1097/cm9.0000000000000054

  505. 505.

    Yang J, et al. Identification of Endometrial Cancer-Specific microRNA Biomarkers in Endometrial Fluid. Int. J. Mol. Sci. 2023;24:8683.

    Not in our library10.3390/ijms24108683

  506. 506.

    Urabe F, et al. Extracellular vesicles as biomarkers and therapeutic targets for cancer. Am. J. Physiol. Cell Physiol. 2020;318:C29-c39.

    Not in our library10.1152/ajpcell.00280.2019

  507. 507.
  508. 508.

    S ELA, Mäger I, Breakefield XO, Wood MJ. Extracellular vesicles: biology and emerging therapeutic opportunities. Nat. Rev. Drug Discov. 2013;12:347-357.

    Not in our library10.1038/nrd3978

  509. 509.

    van den Helder R, et al. Non-invasive detection of endometrial cancer by DNA methylation analysis in urine. Clin. Epigenet. 2020;12:165.

    Not in our library10.1186/s13148-020-00958-7

  510. 510.

    Karimi F, et al. Liquid biopsy in ovarian cancer: advantages and limitations for prognosis and diagnosis. Med. Oncol. 2023;40:265.

    Not in our library10.1007/s12032-023-02128-0

  511. 511.

    Marth C, Kisic J, Kaern J, Tropé C, Fodstad Ø. Circulating tumor cells in the peripheral blood and bone marrow of patients with ovarian carcinoma do not predict prognosis. Cancer. 2002;94:707-712.

    Not in our library10.1002/cncr.10250

  512. 512.

    Judson PL, et al. Preoperative detection of peripherally circulating cancer cells and its prognostic significance in ovarian cancer. Gynecol. Oncol. 2003;91:389-394.

    Not in our library10.1016/j.ygyno.2003.08.004

  513. 513.
  514. 514.

    Asante DB, Calapre L, Ziman M, Meniawy TM, Gray ES. Liquid biopsy in ovarian cancer using circulating tumor DNA and cells: ready for prime time? Cancer Lett. 2020;468:59-71.

    Not in our library10.1016/j.canlet.2019.10.014

  515. 515.

    Siena S, et al. Dynamic molecular analysis and clinical correlates of tumor evolution within a phase II trial of panitumumab-based therapy in metastatic colorectal cancer. Ann. Oncol. 2018;29:119-126.

    Not in our library10.1093/annonc/mdx504

  516. 516.

    Wan JCM, et al. Liquid biopsies come of age: towards implementation of circulating tumour DNA. Nat. Rev. Cancer. 2017;17:223-238.

    Not in our library10.1038/nrc.2017.7

  517. 517.

    Zheng X, Li X, Wang X. Extracellular vesicle-based liquid biopsy holds great promise for the management of ovarian cancer. Biochim. Biophys. Acta Rev. Cancer. 2020;1874:188395.

    Not in our library10.1016/j.bbcan.2020.188395

  518. 518.

    Wang L, Zhao F, Xiao Z, Yao L. Exosomal microRNA-205 is involved in proliferation, migration, invasion, and apoptosis of ovarian cancer cells via regulating VEGFA. Cancer Cell Int. 2019;19:281.

    Not in our library10.1186/s12935-019-0990-z

  519. 519.

    Mateescu B, et al. miR-141 and miR-200a act on ovarian tumorigenesis by controlling oxidative stress response. Nat. Med. 2011;17:1627-1635.

    Not in our library10.1038/nm.2512

  520. 520.

    Konstantinopoulos PA, Lheureux S, Moore KN. PARP inhibitors for ovarian cancer: current indications, future combinations, and novel assets in development to target DNA damage repair. Am. Soc. Clin. Oncol. Educ. Book. 2020;40:1-16.

    Not in our library10.1200/edbk_288015

  521. 521.

    Wang M, et al. Circular RNAs: a novel type of non-coding RNA and their potential implications in antiviral immunity. Int. J. Biol. Sci. 2017;13:1497-1506.

    Not in our library10.7150/ijbs.22531

  522. 522.

    Zhou W, et al. Serum exosomes from epithelial ovarian cancer patients contain LRP1, which promotes the migration of epithelial ovarian cancer cell. Mol. Cell Proteom. 2023;22:100520.

    Not in our library10.1016/j.mcpro.2023.100520

  523. 523.
  524. 524.

    Su YY, et al. Upregulated expression of serum exosomal miR-375 and miR-1307 enhance the diagnostic power of CA125 for ovarian cancer. J. Ovar. Res. 2019;12:6.

    Not in our library10.1186/s13048-018-0477-x

  525. 525.

    Yazawa H, et al. Hydrodynamics-based gene delivery of naked DNA encoding fetal liver kinase-1 gene effectively suppresses the growth of pre-existing tumors. Cancer Gene Ther. 2006;13:993-1001.

    Not in our library10.1038/sj.cgt.7700970

  526. 526.

    Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J. Clin. 2023;73:17-48.

    Not in our library10.3322/caac.21763

  527. 527.

    Lilja H, Ulmert D, Vickers AJ. Prostate-specific antigen and prostate cancer: prediction, detection and monitoring. Nat. Rev. Cancer. 2008;8:268-278.

    Not in our library10.1038/nrc2351

  528. 528.

    Sharma S, et al. Circulating tumor cell isolation, culture, and downstream molecular analysis. Biotechnol. Adv. 2018;36:1063-1078.

    Not in our library10.1016/j.biotechadv.2018.03.007

  529. 529.

    Schaeffer EM, et al. Prostate cancer, version 4.2023, NCCN clinical practice guidelines in oncology. J. Natl Compr. Cancer Netw. 2023;21:1067-1096.

    Not in our library10.6004/jnccn.2023.0050

  530. 530.

    Lindsay CR, et al. Vimentin and Ki67 expression in circulating tumour cells derived from castrate-resistant prostate cancer. BMC Cancer. 2016;16:168.

    Not in our library10.1186/s12885-016-2192-6

  531. 531.

    Schütz E, et al. Chromosomal instability in cell-free DNA is a serum biomarker for prostate cancer. Clin. Chem. 2015;61:239-248.

    Not in our library10.1373/clinchem.2014.226571

  532. 532.

    Choudhury AD, et al. Tumor fraction in cell-free DNA as a biomarker in prostate cancer. JCI Insight. 2018;3:e122109.

    Not in our library10.1172/jci.insight.122109

  533. 533.

    Han XY, et al. A new mycobacterium species causing diffuse lepromatous leprosy. Am. J. Clin. Pathol. 2008;130:856-864.

    Not in our library10.1309/ajcpp72fjzzrrvmm

  534. 534.
  535. 535.
  536. 536.

    Sharova E, et al. A circulating miRNA assay as a first-line test for prostate cancer screening. Br. J. Cancer. 2016;114:1362-1366.

    Not in our library10.1038/bjc.2016.151

  537. 537.

    Matsuzaki K, et al. MiR-30b-3p and miR-126-3p of urinary extracellular vesicles could be new biomarkers for prostate cancer. Transl. Androl. Urol. 2021;10:1918-1927.

    Not in our library10.21037/tau-20-421

  538. 538.

    Zhang HL, et al. Serum miRNA-21: elevated levels in patients with metastatic hormone-refractory prostate cancer and potential predictive factor for the efficacy of docetaxel-based chemotherapy. Prostate. 2011;71:326-331.

    Not in our library10.1002/pros.21246

  539. 539.

    Selth LA, et al. Circulating microRNAs predict biochemical recurrence in prostate cancer patients. Br. J. Cancer. 2013;109:641-650.

    Not in our library10.1038/bjc.2013.369

  540. 540.

    Liang C, et al. Long non-coding RNA PCAT-1 in human cancers: a meta-analysis. Clin. Chim. Acta. 2018;480:47-55.

    Not in our library10.1016/j.cca.2018.01.043

  541. 541.

    Xue Y, et al. Association between lncrna PCGEM1 polymorphisms and prostate cancer risk. Prostate Cancer Prostatic Dis. 2013;16:139-144.

    Not in our library10.1038/pcan.2013.6

  542. 542.

    Prensner JR, et al. RNA biomarkers associated with metastatic progression in prostate cancer: a multi-institutional high-throughput analysis of SChLAP1. Lancet Oncol. 2014;15:1469-1480.

    Not in our library10.1016/s1470-2045(14)71113-1

  543. 543.

    Prensner JR, et al. The long noncoding RNA SChLAP1 promotes aggressive prostate cancer and antagonizes the SWI/SNF complex. Nat. Genet. 2013;45:1392-1398.

    Not in our library10.1038/ng.2771

  544. 544.

    Logozzi M, et al. Increased PSA expression on prostate cancer exosomes in in vitro condition and in cancer patients. Cancer Lett. 2017;403:318-329.

    Not in our library10.1016/j.canlet.2017.06.036

  545. 545.

    De Giorgi U, Conteduca V, Scarpi E. Re: Marzia Del Re, Elisa Biasco, Stefania Crucitta, et al. The detection of androgen receptor splice variant 7 in plasma-derived exosomal rna strongly predicts resistance to hormonal therapy in metastatic prostate cancer patients. Eur Urol 2017;71:680-7. Eur. Urol. 2018;73:e9-e10.

    Not in our library10.1016/j.eururo.2017.07.032

  546. 546.

    Nimir M, et al. Detection of AR-V7 in liquid biopsies of castrate resistant prostate cancer patients: a comparison of AR-V7 analysis in circulating tumor cells, circulating tumor RNA and exosomes. Cells. 2019;8:688.

    Not in our library10.3390/cells8070688

  547. 547.

    Raos D, et al. cfDNA methylation in liquid biopsies as potential testicular seminoma biomarker. Epigenomics. 2022;14:1493-1507.

    Not in our library10.2217/epi-2022-0331

  548. 548.
  549. 549.

    Murray MJ, et al. Solid tumors of childhood display specific serum microRNA profiles. Cancer Epidemiol. Biomark. Prev. 2015;24:350-360.

    Not in our library10.1158/1055-9965.epi-14-0669

  550. 550.

    Klein A, Fishman A, Zemer R, Zimlichman S, Altaras MM. Detection of tumor circulating cells by cytokeratin 20 in the blood of patients with endometrial carcinoma. Gynecol. Oncol. 2000;78:352-355.

    Not in our library10.1006/gyno.2000.5918

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