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Cancer stem cell secretome in the tumor microenvironment: a key point for an effective personalized cancer treatment

Julia López de Andrés, Carmen Griñán-Lisón, Gema Jiménez and 1 more

Journal of Hematology & Oncology · 2020 · Review · CC BY

doi:10.1186/s13045-020-00966-3

Abstract

Cancer stem cells (CSCs) represent a tumor subpopulation responsible for tumor metastasis and resistance to chemo- and radiotherapy, ultimately leading to tumor relapse. As a consequence, the detection and eradication of this cell subpopulation represent a current challenge in oncology medicine. CSC phenotype is dependent on the tumor microenvironment (TME), which involves stem and differentiated tumor cells, as well as different cell types, such as mesenchymal stem cells, endothelial cells, fibroblasts and cells of the immune system, in addition to the extracellular matrix (ECM), different in composition to the ECM in healthy tissues. CSCs regulate multiple cancer hallmarks through the interaction with cells and ECM in their environment by secreting extracellular vesicles including exosomes, and soluble factors such as interleukins, cytokines, growth factors and other metabolites to the TME. Through these factors, CSCs generate and activate their own tumor niche by recruiting stromal cells and modulate angiogenesis, metastasis, resistance to antitumor treatments and their own maintenance by the secretion of different factors such as IL-6, VEGF and TGF-ß. Due to the strong influence of the CSC secretome on disease development, the new antitumor therapies focus on targeting these communication networks to eradicate the tumor and prevent metastasis, tumor relapse and drug resistance. This review summarizes for the first time the main components of the CSC secretome and how they mediate different tumor processes. Lastly, the relevance of the CSC secretome in the development of more precise and personalized antitumor therapies is discussed.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 22, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction

The cancer stem cell (CSC) model is based on the identification of tumor cells in different stages of differentiation in a wide variety of tumors, including ovarian, breast, brain, lung cancer, melanoma, prostate, colorectal and liver cancer. All of them are composed by a small subpopulation of cells with stem cell-like characteristics such as quiescence, slow cell cycle, expression of embryonic SC transcription factors and epigenomic regulation driven by micro-RNAs (miRNAs). Like normal SCs, CSCs can self-renew and divide asymmetrically to give rise to daughter cells, which constitute the bulk of the tumor, and this makes CSCs are responsible for the maintenance and proliferation of the tumor, as observed in healthy tissues.

However, identification of these subpopulations has not been easy, and although several markers have been described, tumor heterogeneity and inter-patient variations make it difficult to define robust markers. In general terms, the most commonly used indicators to identify CSCs are surface markers such as CD133 and CD44, increased activity of aldehyde dehydrogenase (ALDH) and their ability to exclude Hoechst 33342 (side population), and to form spheres in vitro.

In addition, CSCs drive tumor drug resistance due to their ability to enter a quiescent state, activate DNA repair mechanisms, reactivate drug efflux system and protect against ROS, ultimately being responsible for disease relapse. Therefore, the CSC model explains the poor prognosis of the disease and indicates that identifying and attacking CSCs are currently a major challenge in cancer research.

As the importance of CSCs in tumor development has been elucidated, special attention has also been paid to their environment, since the tumor niche has a strong influence on the tumor behavior. The tumor microenvironment (TME) includes stem and differentiated cancer cells, the extracellular matrix (ECM), mesenchymal stem cells (MSCs), cancer-associated fibroblasts (CAFs), endothelial cells (ECs), immune system cells, and a complex network of cytokines and growth factors. All these components orchestrate tumor processes in different ways. Non-tumor and differentiated tumor cells interact closely with CSCs by modulating their activity and contributing to key tumor processes such as tumor growth, metastasis, angiogenesis and immune system evasion. Indeed, TME cells also promote resistance to antitumor therapies, since the secretion of soluble factors such as interleukin-6 (IL-6), hepatocyte growth factor (HGF), fibroblast growth factor (FGF), or transforming growth factor ß (TGF-ß) and ECM adhesion proteins such as integrins leads to the activation of several tumor survival pathways. Additionally, the ECM has a different composition, organization and post-transcriptional modification in the TME than the surrounding normal tissue and largely influences the intratumor signaling, transport mechanism, cell motility, metastasis and immune response. Moreover, tumor ECM shows higher density and stiffness, which can interfere on nutrient, oxygen and metabolite diffusion which in turn lead to tumor hypoxia. This stiff ECM also acts as a physical barrier to the action of chemo- and radiotherapy agents. Tumor hypoxia and the barrier capacity are related to poor treatment response.

Importantly, CSCs do not merely adapt to the TME; they also form their own niches by recruiting and activating other cells and modify their environment in different ways. Understanding the interaction of CSCs with their niche may be crucial to design effective cancer treatments and selectively target this cell subpopulation.

This review examines for the first time the main components secreted by CSCs to generate and modify their own environment and to orchestrate the tumor hallmarks. To this end, we describe the role played by CSC secretome in cell recruitment, in the interactions with tumor niche as well as in distal metastasis. Finally, the impact of CSCs on the development of resistance to current antitumor treatments and the new therapies that focus on overcoming these issues by targeting the CSC secretome are also discussed.

Cancer stem cell secretome

Secretome refers to all the molecules secreted by a cell or shedded from its membrane and is fundamental for cell–cell communication. Despite that the secretome has commonly been defined only by the protein fraction, the non-protein components such as lipids, miRNAs and messenger-RNAs (mRNAs) isolated in or secreted via vesicular bodies have been also incorporated into this definition. There is increasing evidence that CSCs regulate different tumor hallmarks such as angiogenesis, tumor growth, metastasis, drug resistance and immune dysregulation through their secretome (Fig. 1). CSCs communicate with the TME by releasing microvesicles (MVs) and exosomes, as well as a wide range of soluble factors including chemokines, cytokines, growth factors, hormones and metabolites. MVs differ from exosomes in size (MVs range from 50 to 10,000 nm while exosomes are typically 30–150 nm in diameter), their secretion mechanism and cargo.

Some factors involved in the communication of CSCs with their environment such as IL-6, IL-8 and IL-1ß, vascular endothelial growth factor (VEGF) and various matrix metalloproteinases (MMPs) can be released free into the extracellular space or encapsulated in exosomes and MVs. In addition, various cytokines such as CCL2 or CCL5, TGF-ß and hypoxia-inducible factor 1 (HIF-1) can also be released via exosomes to the TME. All these factors perform multiple functions within the tumor, since they promote the formation and activation of the TME, hypoxia, tumor vascularization and metastasis, or chemo- and radiotherapy resistance, as it will be discussed in more detail below (Fig. 1).

In addition, several studies have shown that not only soluble factors but also miRNAs strongly contribute to cancer development and progression by altering the secretome, promoting both tumorigenic and tumor suppression responses. MiRNAs are small RNAs molecules of 18–22 nucleotides with the ability to regulate cancer-related processes including cellular proliferation, cell cycle arrest, senescence, DNA damage response, apoptosis, metastasis and CSC properties. These diverse functional features are tumor and tissue specific and can have a positive or negative effect, and changes in miRNA levels may influence their function. One recent finding is that miRNAs can be found inside exosomes or MVs and prevent RNase degradation. Therefore, these exosome-transferred miRNAs have emerged as a new mechanism mediating the tumor–stroma crosstalk and metastasis (Table 1). Therefore, it is clear that miRNAs secreted by CSCs could be potent regulators of the secretome involved in cancer initiation and progression. For example, miR-200 family has been shown to inhibit the epithelial–mesenchymal transition (EMT) and enhance the reverse process.

Secretome in the interaction with stromal cells

CSCs play an essential role in tumor niche generation by recruiting and activating TME cells through different signaling pathways (Fig. 2). In fact, many of these pathways result on a communication loop between CSCs and stromal cells, whereby CSCs self-regulate and regulate their environment.

Mesenchymal stem cells (MSCs)

Mesenchymal stem cells perform key functions in the development of cancer including regulation of inflammatory processes, angiogenesis, metastasis, maintenance of CSCs and tumor growth. For this reason, MSCs are recruited into the tumor niche by CSCs and interact with each other through a wide network of cytokines (Fig. 2).

First, CSCs recruit MSCs to the sites of primary tumor growth by secreting IL-6, which also triggers other responses in the tumor niche. In turn, IL-6 induces the production of CXCL7 by MSCs, which has been shown to promote tumor invasiveness and metastasis in murine models, as well as tumor growth through interaction with the tumor receptor CXCR2 that, in turn, induces the synthesis of other cytokines including IL-6 and IL-8.

Moreover, CSCs in pancreatic cancer have been found to overexpress IL-1ß to attract MSCs by promoting MMP-1 secretion, which in turn activates the protease-activated receptor 1 (PAR1) and G-protein-coupled signal pathways, resulting in migration and recruitment of MSCs to the tumor niche. Moreover, tumor-secreted IL-1ß induces the expression of several chemokines by MSCs because it promotes the expression of nuclear factor kB (NF-kB), a major regulator of chemokine expression. As with IL-6, IL-1ß also interacts with other cell types and triggers other pathways in the TME directly affecting tumor growth, invasion and angiogenesis, by inducing the secretion of angiogenic factors by tumor and stromal cells. However, it seems that the effect of IL-1ß is related to tumor type and the TME, since a negative effect on IL-1ß-mediated tumor growth has also been reported, explained by an increased immune response.

Finally, glioma CSCs have been shown to secrete stromal cell-derived factor 1 (SDF-1/CXCL12) in order to recruit MSCs. MSCs also secrete SDF-1/CXCL12, and communication between CSCs and MSCs through SDF-1/CXCL12 leads to tumor progression through different ways, including CSs survival, tumor growth, metastasis and angiogenesis processes.

Cancer-associated fibroblasts (CAFs)

Cancer-associated fibroblasts (CAFs) are also key actors in TME supporting tumor maintenance, angiogenesis, EMT and metastasis and producing ECM components. CSCs recruit CAFs either by activating adjacent fibroblasts, CAFs or transforming MSCs through the secretion of different factors like platelet-derived growth factor (PDGF), FGF, IL-6 and TGF-ß (Fig. 2). In breast cancer, it has also been described that the activation of fibroblasts to CAFs requires the activation of STAT3 by these cytokines, which results in CAFs showing higher CCL2 expression than normal fibroblasts, which induces Notch1 expression of CSCs and, therefore, promotes stemness maintenance in a bidirectional interaction. On the other hand, CSCs can induce differentiation of MSCs into CAFs through the secretion of TGF-ß via the activation of the TGFBR1/Smad pathway.

Furthermore, in a recent study using a murine model of breast cancer, CSCs have shown to produce the Hedgehog (Hh) ligand Sonic Hedgehog (SHH), activating the Hh signaling pathway in CAFs, which leads to increased CAF proliferation and ECM deposition and enhances the production of other factors such as ACTIVIN A, insulin-like growth factor 1 (IGF-1) and leukemia inhibitory factor (LIF), which result in CSC growth and self-renewal, in a feedback communication between CAFs and CSCs.

Immune cells

In the TME, immune system cells may exhibit tumorigenic or antitumor activity depending on environmental signals. For this reason, the communication with tumor cells becomes an important factor. The role of CSCs is not only to recruit and activate cells in the tumor niche, but also the evasion of the immune response (Fig. 2). CSCs recruit macrophages to the tumor niche by producing pro-inflammatory cytokines and chemokines, such as CCL2, IL-6, IL-4, VEGF and TGF-ß. Once in the TME, macrophages are activated to tumor-associated macrophages (TAMs) through CSC-secreted factors such as IL4, TGF-ß and macrophage inhibitory cytokine 1 (MIC-1), which also inhibits the phagocytic activity of macrophages. Moreover, CSC-released TGF-ß induces the differentiation of CD4 + T lymphocytes to regulatory T lymphocytes (Treg) by stimulating the synthesis of FOXP3, thereby having an immunosuppressive effect on the tumor. However, this is not the only pathway used by CSCs for macrophage activation. Treg causes a decrease in tumor immunity not only by regulating the accumulation of T lymphocytes, but also by releasing other factors with immunosuppressive roles such as TGF-ß and IL-10.

A major hallmark of CSCs is to evade the immune response through an inadequate antigen presentation and the ability to create a differentiated tumor cell barrier around them. Additionally, CSCs secrete different molecules with protective function against both innate and adaptive immune responses such as TGF-ß, IL-4, IL-6, IL-10 and prostaglandin E2 (PGE2). In addition, FOXP3 in Treg, whose expression is regulated by TGF-ß and other factors, also inhibits the secretion of IL-2, interferon gamma and IL-4. Furthermore, CSCs secrete exosomes with an immune response modulating effect by suppressing T-cell response and inhibiting dendritic cell differentiation. These finding show that CSCs are capable of triggering multiple pathways for immune evasion.

In summary, the CSC secretome is responsible for the recruitment and activation of MSCs, CAFs and immune cells to the TME. In addition, they promote the function of these cell types, thus leading the regulation of inflammatory responses, tumor growth, angiogenesis, metastasis and their own maintenance.

Secretome in angiogenesis

Angiogenesis is a central process that promotes tumor development and metastasis. CSCs modulate the vascularization of the tumor niche mainly through VEGF, but other factors are also involved (Fig. 2). CSCs recruit endothelial cells (ECs) to the tumor niche and induce angiogenesis by secreting HIF-1, VEGF and SDF-1/CXCL12. Furthermore, MSCs migrate to the tumor niche recruited by CSCs, and once there they differentiate into ECs through the action of VEGF. In addition, CSCs are capable of differentiating into ECs and endothelial progenitor cells (EPCs) and form vessel-like networks in a process called “vascular mimicry,” mediated also by VEGF. Indeed, CSCs preferentially overexpress more VEGF receptors (VEGFR-1 and VEGFR-2) than their differentiated counterparts and their activation by VEGF mediates chemotaxis, tubule formation and vascular marker expression. Likewise, CSCs show high expression of vascular–endothelial cadherin (VE-Cadherin) and Notch, both involved in the transformation to ECs and EPCs, as well as MMP-2 and MMP-9, which promote ECM remodeling thus promoting new vessel formation by CSCs. Moreover, CSCs overexpress CXCR4, whose SDF-1/CXCL12 ligand induces VEGF production via activation of the P13K/AKT signaling pathway. This makes that stromal cells and CSCs can also modulate angiogenesis by promoting the expression of CSC-secreted VEGF. CSC-secreted VEGF plays other critical roles in the tumor niche since it enhances CSCs proliferation by stimulating neuropilin-1, a co-receptor of VEGFR2, and thus promotes tumor progression and relapse.

Furthermore, CSCs secrete TGF-β that can also induce the expression of VEGF and another angiogenic factor, the connective tissue growth factor (CTGF), in both epithelial cells and fibroblasts. Finally, a comparative study of glioma CSCs and non-SCs secretome has identified an increase in hepatoma-derived growth factor (HDGF) in glioblastoma stem-like cells (GSCs) linked to angiogenesis in vivo.

Taken together, these findings demonstrate that the CSC secretome modulates the generation of new vasculature in the TME by recruiting ECs and MSCs. In addition, the secretome involved in this process also enhances the maintenance of CSCs and therefore tumor proliferation and relapse.

Nonetheless, the vascular network formed to support the rapid tumor growth is aberrant, with disorganized, immature and highly permeable blood vessels, and cannot fully fulfill its functions. This limits tumor perfusion, decreases oxygen supply and increases hypoxia in the tumor and prevents the arrival of immune system cells. Poor perfusion also reduces the efficacy of radiation therapy and antitumor drug perfusion to the tumor, which allows tumor survival. Furthermore, the high permeability, related to reduced coverage of the pericytes and their binding to the ECs, facilitates the metastatic spread of cancer cells, mainly CSCs.

Secretome in hypoxia

The rapid proliferation of cancer cells and the TME aberrant vasculature cause hypoxic regions within the tumors. In response to this situation, both CSCs and non-SCs secrete HIF-1, which is stabilized only in areas with very low oxygen level. HIF-1 in the tumor niche is related to poor prognosis because it enhances tumor spread and CSC self-renewal, promoting the stem phenotype by enhancing Notch-Hes1 or ALDH expression. Furthermore, in several tumor types HIF-1 has been reported to promote resistance to therapy and EMT phenotype, to remove or prevent toxic metabolic waste products. HIF-1 is also involved in angiogenic processes by inducing VEGF and VEGFR2 expression and can suppress antitumor immune responses.

On the other hand, the hypoxia-inducible factor 2 (HIF-2) and HIF-regulated genes are preferentially expressed in CSCs compared to their differentiated counterparts, which is associated with poorer prognosis and higher CSCs proliferation and survival. Furthermore, HIF-2 has been shown to be expressed at low levels of hypoxia and even at physiological levels of oxygen; therefore, its function is not limited to hypoxic regions.

Moreover, the secretome of hypoxic tumor environments regulates miR-210 expression in a positive way, as shown by the fact that HIF-1 secreted by both CSCs and non-SCs promotes its expression. MiR-210 is an important mediator of the response to low oxygen tension and promotes mRNA degradation of normoxic genes in several cancers, particularly in pancreatic cancer. Thus, circulating miR-210 levels could serve as a useful biomarker for diagnosis in cancers with extremely hypoxic signatures. In addition, tumor-secreted HIF-1 induces miR-155 expression under hypoxic conditions and plays a dual role in maintaining this factor as miR-155 directly targets HIF-1 and suppresses its expression and miR-155 suppresses the translation of von Hippel–Lindau tumor suppressor (VHL) leading to increased HIF activity. This role is, however, not so contradictory, if we consider that miR-155 targets HIF-1 but not HIF-2α, which is more oncogenic. MiR-155 is also related inflammation since IL-6 induces its expression and this in turn activates the JAK2/STAT3 pathway, thus promoting tumor inflammation.

In conclusion, the CSC secretome regulates the response to hypoxic environments through HIF and miRNAs and its overexpression is related to poor prognosis, related to the effects on tumor maintenance and CSCs themselves.

Secretome in CSC maintenance

In addition to interacting with stromal cells, CSCs regulate their maintenance in the tumor niche, as described above. In addition, CSCs regulate their self-renewal through the autocrine secretion of TGF-ß, which promotes stemness properties of CSCs in breast, colon and ovary cancer and induces self-renewal and prevents differentiation in glioma CSCs. Indeed, CSCs secrete nodal and activin, from the TGF-ß family, linked to the CSCs self-renewal in pancreatic cancer in vitro and CSCs tumorigenicity in vivo. Signaling pathways involved in TGF-ß-induced CSC phenotype acquisition include SMADs, AKT, SOX and MAPK, which in turn synergize with other signaling pathways to promote tumor invasion and metastasis.

Furthermore, CSC survival is promoted by autocrine production of different interleukins. In colon cancer, CSC-secreted IL-4 promotes their maintenance and inhibits apoptosis. IL-1ß also promotes tumor growth and invasion by activating CSC self-renewal and EMT. IL-6 can induce tumor cell dedifferentiation in breast, colon, and prostate cancers and regulates stemness in ovarian CSCs driven by ALDH1A1 expression. Similarly, overexpression of IL-8 promotes pancreatic CSC self-renewal via IL-8/CXCR1 axis. This is consistent with other studies, showing that the IL-8/CXCR1 pathway is essential for CSCs survival in breast cancer.

CSCs promote their maintenance and tumorigenicity through the secretion of exosomes. For example, GSCs secrete exosomes carrying chloride intracellular channel protein 1 (CLIC1), which affects tumor proliferation both in vivo and in vitro. In pancreatic and colorectal cancer, exosomes released by CSCs stimulate the stemness phenotype and cell invasion and mobility. In addition, CSCs deregulate miRNAs, which also affect their own maintenance. MiR-302/367 cluster was found to be strongly expressed in CSCs and strongly repressed during differentiation in most cancers, with its expression being highly correlated with the expression of CSC markers. Interestingly, Rahimi et al. isolated CSCs using their stem cell-specific miR-302 expression and maintained CSCs stemness by continued selection. Lastly, in colorectal cancer miR-146a increases the symmetrical division of CSCs, and miR-1246, one of the most differentially expressed miRNAs in the CSC population, is involved in self-renewal processes, tumorigenicity and drug resistance.

Given the importance of CSC maintenance in the TME, the CSC secretome plays a key role on tumor development by promoting CSCs self-renewal, preventing their differentiation and even promoting the dedifferentiation of tumor cells to SCs.

Secretome in extracellular matrix remodeling

ECM remodeling is essential for angiogenesis, metastasis and tumor growth, and since the ECM is a reservoir of many factors, its degradation results in their release into the environment. ECM remodeling occurs principally through the activity of matrix metalloprotease-10 (MMP-10), which enhances EMT, metastasis and CSC state. It has been reported that CSCs overexpress MMP-9, which allows the activation of inactive TGF-ß in ECM, MMP-2 and MMP-13, all related to increased metastatic and angiogenic capacity. In ovarian cancer cell lines, CSCs overexpress CCL5 and its CCR1, CCR3 and CCR5 receptors compared to their differentiated counterparts, resulting in increased autocrine-mediated invasion capacity by NF-kB activation and the consequently elevated MMP-9 secretion.

In addition, CSCs induce the production of certain ECM components such as periostin and tenascin through different factors, with TGF-ß playing a central role. That ECM components promote metastatis and support SCs functions. Periostin promotes the acquisition of a stemness phenotype in tumor cells when it binds to Wnt ligands. Periostin is also essential for metastatic colonization with infiltrating tumor cells being able to induce periostin expression in the metastatic niche. This protein can also increase the expression of the VEGFR by ECs. Lastly, tenascin is involved in vascular mimicry by enhancing the release of MMP-2 and MMP-9 by CSCs. Thereby, both ECM components are important for tumor angiogenesis.

CSC secretome is involved both in ECM degradation facilitating tumor metastasis, angiogenesis and proliferation, and in the generation of specific components involved in tumor behavior.

Secretome in metastasis

Metastasis is a process that involves the dissemination of cells through lymphatic or blood vessels from the primary tumor to distant sites where colonization leads progressively to the growth of a secondary tumor. The EMT is a fundamental process for tumor invasion and involves the loss of epithelial properties and acquisition of motile and invasive phenotype. The CSC secretome induces EMT and promotes metastasis in different ways. A key factor in the metastatic process is TGF-ß, which correlates with the expression of SC markers in tumor cells and promotes that phenotype, as described above, through induction of EMT. TGF-ß has the ability to promote cell invasion and metastasis of CSCs and is not only expressed by CSCs, but also by other TME cells such as TAMs or CAFs. However, TGF-ß is a ubiquitous cytokine that is expressed in nearly every cell type and therefore has an active role in various cellular processes. Although TGF-ß has been reported to promote tumor progression, invasion and metastasis in late-stage tumors, it has also been shown to act as a tumor suppressor as it can inhibit cell proliferation, induce apoptosis and mediate tumor cell differentiation in early-stage tumors. The role of TGF-ß depends on tumor stage and is regulated by tumor cells, stromal cells and the immune system. The mechanisms behind the dual role of TGF-ß are related to mutations in some components of the signaling pathway, but it may also be that there is no alteration of the tumor suppressor pathway, if not that it is inhibited. Several factors can promote tumor development including: (1) p53 mutations that activate the formation of the Smads2/3 and p63 complex that suppresses the action of p63 allowing TGF-ß to promote EMT; (2) loss of Smad4 function secondary to genetic alterations; (3) overexpression of Six1 (pro-metastatic regulator); (4) oncogenic activation of the Ras-RAF-MAPK pathway; (5) hypomethylation of the PDGFβ gene; and (6) DAB2 epigenetic downregulation. Moreover, miR-106b-25 inhibits p21 and Bim (pro-apoptotic factor) and is probably involved in the positive regulation of Six1. Furthermore, miR-106b-25 can activate the tumorigenic path by inhibiting suppression growth through TGF-ß and repressing the inhibitory protein Smad7.”

In addition, different miRNAs play a fundamental role in metastasis. Down-regulated miR-200 and let-7 miRNAs in CSCs can regulate EMT stem-like transition, self-renewal and metastasis in breast, prostate and colon cancer, and miR-34a downregulation in CSCs is related to self-renewal and asymmetric division. miR-21 is a known “oncomiR” differentially up-regulated or over-expressed in CSCs and has been related to metastasis, poor prognosis, cell cycle and CSC promotion in many cancers. miR-221, miR-100, miR-10b or miR-125a upregulation in CSCs and non-CSCs can modulate breast CSC properties enhancing their invasion and migration potential. Moreover, in metastatic breast cancer cells, exosome-secreted miR-10b, miR-105 and miR-9 are related to enhanced invasiveness through increased endothelial cell migration, angiogenesis and vascular permeability. The miR-200 family found in extracellular vesicles of breast CSCs was related to their metastatic capacity. In glioblastoma, miR-10b is upregulated in CSCs and its inhibition strongly reduces CSCs proliferation and metastasis. OncomiR-138 has also been identified as a prognostic biomarker of GSCs. In ovarian cancer, miR-5703, miR-630, miR-1246 and miR-320b were significantly dysregulated in CSCs compared with primary cancer cells, whereas miR-424-5p level was lower and associated with distant metastasis. Finally, exosomes isolated from oral CSCs displayed nearly consistent downregulation of miR-34 and the up-regulation of miR-21 and miR-155 was related to increased CSC proliferation and migration; therefore, they may be consider indicators of poor prognosis. However, miR-155 overexpression has been correlated with better prognosis and lower metastatic capacity and miR-21 appears down-regulated in CSCs. These differences could be due CSC and inter-patient heterogeneity and to the dual role played by the same miRNA depending on cell state. This encourages further studies to elucidate the role of miRNAs based on this heterogeneity and its relationship with cancer progression. Lastly, miRNAs could be used as prognostic and predictive biomarkers of response to treatment.

Successful metastasis requires a favorable environment for the colonization and growth of tumor cells at the site of the secondary tumor, called the premetastatic niche (PMN). This PMN requires the recruitment and activation of local resident cells, alteration of the existing vasculature, ECM remodeling, as well as immune system deregulation. Several factors secreted by CSCs are involved in PMN formation. For example, VEGF increases vasculature permeability in the PMN and stimulates MMP-9 expression in premetastatic tissue, thus facilitating tumor cell invasion. Moreover, VEGF enhances the recruitment of bone marrow-derived cells (BMDCs), which are critical for PMN formation and facilitate tumor-promoting microenvironment through CCL9 secretion, induced by TGF-ß signaling. In addition, TGF-ß and VEGF promote the expression of different inflammatory chemoattractants in the PMN. Similarly, the CXCL12/CXCR4 axis is closely related to angiogenesis, proliferation, invasion and metastasis in most tumors by CXCR4 activation and migration of cells toward CXCL12. In addition, CXCL12 protein levels are highest in organs that are common sites of metastasis. CXCL12 induces MMP expression in cancer cells and up-regulates the activity of MMPs in tumor microenvironment, which promotes tumor invasion and metastasis. CSCs express high levels of CXCR4 that have the ability to originate, maintain, disseminate and colonize metastasis sites and PMNs. CXCL12/CXCR4 signaling activation can be indicative of the metastatic CSC population. CSC migration is directed by CXCR4/CXCL12, playing a central role in chemotactic gradient perception. This signaling pathway is related with cell stemness and mobility. Furthermore, intratumor hypoxia at primary site promotes PMN formation in secondary organs through enhancement of the expression of several factors and the involvement of exosomes. The role of exosomes and MVs from the primary tumor in the communication with PMN cells and modification of ECM has also been widely described. Therefore, CSCs may play an important role in PMN formation, but further research is needed to clarify the specific role of the CSC secretome.

In summary, CSC secretome promotes metastasis by increasing EMT induction, tumor invasiveness, angiogenesis and CSC self-renewal. In addition, several secreted factors and vesicles are related to PMN formation, which make CSC secretome essential for successful metastasis.

Secretome in chemoresistance

A major challenge in antitumor therapy is to effectively eradicate CSCs, ultimately responsible for tumor relapse after chemotherapy. CSCs show intrinsic resistance to drugs related to ABC transporter overexpression, high ALDH activity, apoptosis evasion mechanisms, enhanced DNA damage repair capacity and activation of key signaling pathways. Some of these mechanisms are regulated by CSC-secreted factors. HIF1, secreted by both CSCs and non-SCs, has been described in leukemia and lung tumors to promote radio and chemoresistance in hypoxic microenvironments by upregulating IGF1 expression and activating IGF1 receptor (IGF1R), which leads to an increase in the SC population and enhances EMT.

Furthermore, other interleukins with diverse roles in tumor behavior are also associated with increased drug resistance of CSCs. In colon cancer, the autocrine expression of CSC-secreted IL-4 promotes apoptosis evasion mechanisms, and treatment with IL-4 antibody especially sensitizes this subpopulation, promoting the efficacy of standard chemotherapeutic drugs. Consistent with these studies, the chemoprotective action of IL-4 by increasing anti-apoptotic proteins Bcl-2 and Bcl-xL levels has been proved in other tumor types. The chemoprotective effects of IL-6 have also been described in breast CSCs, where HER2 overexpression increases IL-6 production. Treatment with trastuzumab (target HER2 antibody) in breast cancer results in tumor chemoresistance related to the inactivation of the PTEN tumor suppressor gene. This is mediated by the IL-6 inflammatory loop activation, leading to the expansion of the CSC population. Furthermore, this CSC population secretes IL-6 to a much greater extent than non-SCs, which leads to a feedback loop that can be interrupted by an IL-6 receptor antibody, reducing the CSC population, tumor growth and metastasis. A similar response to treatment with paclitaxel has been described in triple-negative breast cancer (TNBC) through the increase in the CSC population and tumor-initiating capacity in vivo. After treatment, high autocrine TGF-ß signaling and TGF-ß -dependent IL-8 overexpression occur, which promotes the potential of chemotherapy-resistant CSCs; therefore, this resistance can be reduced by pharmacological inhibition of TGF-ß. Indeed, another study focused on blocking the IL-8 receptor CXCR1 using repertaxin, which selectively depleted CSC population in human breast cancer lines, confirming the role of this interleukin in maintaining the tumor stem population.

Moreover, the interaction of CSCs with TME cells also promotes a protective environment against chemotherapeutic agents. For example, both CSCs and MSCs secrete SDF-1/CXCL12, which interacts with their receptor CXCR4 overexpressed in CSCs. This interaction contributes to the resistance of the tumor cells to chemotherapy-induced apoptosis. In fact, multiple trials with CXCR4 inhibitors have been conducted in solid tumors with promising anti-tumor effects. Furthermore, another pathway that confers drug resistance to CSCs is their ability to influence cells of the immune system. CSCs from chemoresistant tumors were found to produce multiple proinflammatory cytokines (such as IL-1ß, IL-6, IL-8 or tumor necrosis factor) that also act to generate tumorigenic myeloid cells.

In addition to these strategies, the EMT has also been postulated as a therapeutic target against CSCs for its ability to promote chemoresistance through EMT-related signaling pathways and EMT transcription factors such as TGF-ß/Smad4, Hedgehog and Wnt. There are multiple examples of chemoresistance via EMT promotion such as doxorubicin resistance by upregulation of ABC transporters or other apoptotic drugs such as cisplatin, paclitaxel and trastuzumab, which strongly supports the development of new therapies targeting EMT.

The epigenetic control of chemoresistance has been extensively described in CSCs addressing the classic CSC signaling pathways and the expression levels of genes related to chemoresistance and growth factor receptors and others. Unfortunately, there is no research on the epigenetic control of secretome-associated chemoresistance in CSCs or in the total pool of the tumor population. Only one recent publication has related the inhibition of the HSP90 chaperone with a higher sensitivity to chemotherapy and a lower release of various cytokines (IL-8 and others) and, more interestingly, the HSP90 chaperone affected the survival of chemoresistant ALDH cell subpopulations. In addition, there is little information available on oncogenic mutations associated with the influence of chemoresistance on CSC secretome, but p53 mutations have been reported to induce the release of an altered secretome by the tumor pool subpopulations that affects chemoresistance and other tumor processes. For this reason, the epigenetic control of the secretome and oncogenic mutations seems plausible hypotheses related to chemoresistance generated by the secretome, but additional studies are necessary to confirm them.

It is worth discussing how therapeutic treatments can alter the composition and abundance of the tumor secretome, a phenomenon called “therapy-induced tumor cell secretome,” which enhances the survival and expansion of CSCs. For example, treatment with paclitaxel or gemcitabine in TNBC increases the production of HIF factors, whose increased activity leads to an increase in the CSC subpopulation through IL-6 and IL-8 signaling and increased expression of multidrug resistance. This suggests that a treatment based on chemotherapeutic agents combined with HIF inhibitors would help overcome chemoresistance. However, chemotherapy is not the only treatment that can alter the tumor secretome. As shown in a previous study by our research team, the dose of radiation therapy administered in vitro and in vivo affects the expression of several MMPs and their inhibitors. These alterations were related with the molecular profile of breast cancer. The study not only highlights the fundamental role played by the specific characteristics of each tumor and TME in response to treatment, but also that radiotherapy promotes the secretion of matrix remodeling enzymes involved in the dispersion, invasiveness and metastasis of CSCs and in the EMT process. Additionally, Shen et al. demonstrated that chemotherapy induces breast cancer cells to secrete exosome-derived miR-9, miR-195 and miR-203a, which induces CSC phenotypes and expression of stemness-associated genes, thus generating cancer cell communication and self-adaptation to survive treatment. Thereby, miRNAs can also display chemoprotective functions, which means the secretome’s capacity to protect tumors against chemotherapy, as demonstrated by the mentioned studies, in which the released exosomal miRNAs act in response to the treatment favoring the maintenance and expansion of CSCs, avoiding therefore the effect of the treatment and the development of relapses and metastatic processes.

To recapitulate, CSC secretome promotes chemoresistance through different strategies such as inducing the stem phenotype and EMT processes, apoptosis evasion mechanisms and regulation of the immune system. Lastly, chemotherapeutic agents can alter the tumor secretome and consequently tumor cell functions and responses, with a negative effect on treatment outcomes.

Clinical implications and future trends

Given the importance of the interplay between CSCs and their niche, the new antitumor therapies focus on simultaneously targeting different communication routes to target TME and starve CSCs (Fig. 3). One of the most recurrent options is to target tumor vasculature, with several FDA-approved angiogenesis inhibitors available (see Table 2) such as bevacizumab (antibody directed against VEGF) or sorafenib and sunitinib, inhibitors of tyrosine kinase receptors (TKRs) that target multiple TKRs, including VEGF receptors (VEGFRs) and PDGF receptors (PDGFRs). The combination of both treatment strategies has increased patient survival in the first months, usually in combination with other chemotherapy approaches; however, in many of these patients the disease will progress. This may be due to a lack of biomarkers to determine which patients will benefit from these drugs and the doses required as well as to tumor adaptive resistance mechanisms. This tumor capacity to adapt to therapy by activating other alternative pathways has led to the development of strategies that combine anti-VEGF agents with other drugs targeting different pathways such as VEGFRs, TKRs and epidermal growth factor receptors (EGFRs) inhibitors, with greater or lesser success. Indeed, CSCs can also promote resistance to anti-angiogenic therapy, which leads to intra-tumor hypoxia states resulting in increased HIF-1 and HIF-2 expression and, therefore, increased risk of tumor propagation, CSC self-renewal, drug resistance and even angiogenesis activation. For example, treatment of breast cancer with sunitinib and bevacizumab increased the CSC population through HIF-1 activation of Wnt pathway, and in pancreatic cancer and glioblastoma the use of a VEGFR and TKR inhibitor also increased the risk of invasion and metastasis related to intratumor hypoxic states. Nonetheless, when these drugs are used in combination with other cytotoxic drugs, the results are more promising, which confirms the idea of using antiangiogenic drugs in conjunction with other therapies for example targeting hypoxia (Fig. 3). Furthermore, antiangiogenic therapy failure has resulted in a different approach involving vascular normalization to improve drug delivery and limit hypoxia.

Another widely used approach is to try to block the recruitment or function of stromal cells due to the ability of CSCs to promote their tumor niche. For example, preclinical studies showed that targeting CCL2 or the CCL2 receptor (CCR2) on tumor infiltrating macrophages improved chemotherapeutic efficacy, inhibited metastasis and increased anti-tumor T-cell responses. However, these agents may need to be administered as adjuvant therapy and not as monotherapy. However, the results from clinical trials have not been as promising and a deeper understanding of the underlying mechanisms of the pathways involved is needed in order to success in the clinical translation. A similar result has been observed in treatment with IL-6 inhibitors and its receptor where preclinical trials showed antitumor efficacy against different tumor types, but the clinical trials do not seem to show good results. This suggests the need for biomarkers that may help identify target patients and the need for using combined therapies. SDF-1/CXCL12 is another protein related to the recruitment and activation of ECs in TME by CSCs, to chemoresistance processes, and trials with inhibitors of SDF-1/CXCL12 or its receptor CXCR4 have shown high antitumor potential (Fig. 3). In fact, it is already used in the clinical practice. Moreover, there is evidence of its potential as adjuvant therapy by sensitizing the tumor to other therapies.

Another strategy used has been to directly attack CSC maintenance. For example, IL-8 antagonists such as reparixin in monotherapy or combined with other drugs have shown their efficacy in in vitro and in vivo assays. In fact, ongoing clinical trials demonstrate no adverse effects and good prognosis. Other clinical trials targeting TGF-ß have been carried out, but its pro-tumorigenic effect depends on the tumor stage and the number of signaling pathways where TGF-ß is involved require special attention and robust biomarkers to predict its effect.

As previously reported, CSC-secreted factors promote EMT and confer drug resistance, and therefore, many studies have focused on EMT. For example, one of the most studied drugs is salinomycin, which inhibits EMT and sensitizes the tumor to the action of other drugs such as doxorubicin (Fig. 3). Metformin also selectively acts against CSCs by targeting EMT, blocking the IL-6/STAT3 axis or decreasing EMT transcriptional factors, and by increasing tumor sensitivity against other current therapies; therefore, it has been included in clinical trials. Furthermore, to overcome the resistance acquired by EMT from EGFRs inhibitors, several studies that combine EGFRs inhibitors with drugs targeting other pathways, such as with FGFRs inhibitors, have been performed. Despite some good results with some drugs against EMT, their toxicity and ability to promote metastasis still remain a concern.

In addition to the previous results, new therapies targeting both the ECM and the MMPs are now emerging. Since one of the main problems is that tumor ECM prevents the correct diffusion of drugs, numerous studies focus on either degrading the matrix, using collagenases, hyaluronidases or hyperthermia, and on blocking ECM synthesis de novo, although the latter has not provided positive results in clinical trials. MMPs, which promote angiogenesis, metastasis and the release of factors within the matrix, are also the target of new therapies like andecaliximab and several MMPs antibodies, specific or broad-spectrum MMP inhibitors, which have shown promising results in clinical trials (Fig. 3).

Targeting cancer cell secretome involves not only inhibiting the release or binding with receptors, but rather to stimulate the release of certain factors. For example, talimogene laherparepvec (T-VEC), an oncolytic virus FDA approved for the treatment of advanced melanoma, has been engineered to selectively replicate within tumors and to promote the priming of T cell responses and produce granulocyte–macrophage colony-stimulating factor (GM-CSF) to enhance systemic antitumor immune responses. The role of the tumor secretome in general, and of CSCs in particular, is emerging as an indicator of the response to treatment as shown by the two FDA-approved drugs for androgen deprivation therapy for metastatic prostate cancer, abiraterone and enzalutamide, whose resistance seems to be related to a potentially immunosuppressive tumor microenvironment and whose treatment efficacy can be predicted using IL-6 levels.

Finally, a deeper knowledge about the components and dynamics of the CSC secretome has allowed the development of new therapies specifically targeting CSCs through different factors and their overexpressed receptors. In this respect, several clinical trials are conducted to determine the effect of different drugs against CSC secretome and to establish predictive biomarkers for better treatment outcomes (Table 3).

Importantly, as the previous studies have shown, only some patients will effectively benefit from combined therapies while for other patients this type of therapy will be ineffective or even harmful, due to the high heterogeneity between patients. In this respect, several clinical trials are currently conducted to test and validate personalized therapies. A prospective clinical trial that began in 2015 is testing in vitro 73 drugs in different combinations in CSCs from glioblastoma samples to study the effect of personalized therapies [ClinicalTrials.gov identifier: NCT02654964]. Indeed, another prospective clinical trial suggested that personalized antitumor therapies based on molecular profiles of cancer patients had a significant improvement in treatments, compared with current clinical strategies [ClinicalTrials.gov identifier: NCT02534675]. There is increasing evidence that the use of biomarkers would substantially improve clinical practice and patient well-being. Several factors of the CSC secretome have been proposed as biomarkers, like ceruloplasmin identified in pancreatic cancer, which could be used in addition to CA19-9. Ceruloplasmin was also identified in serum from ovarian cancer patients as a possible prognostic biomarker of chemoresistance. Its overexpression by CSCs in glioma has also been studied, but currently only in vitro and in vivo. In blood samples from breast cancer patients, CSC-secreted programmed death ligand-1 (PD-L1) was related with metastasis and has been proposed as a potential follow-up biomarker by immune checkpoint blockers. However, finding robust markers can be challenging. As for antiangiogenic therapies, numerous biomarkers have been proposed since the approval of bevacizumab, being VEGF-A the most promising. However, in clinical trials its efficacy could not be proven and more research is still needed to identify predictive and prognostic biomarkers.

Conclusion

The evidence included in this review demonstrates that CSCs regulate multiple tumor hallmarks through the expression of several growth factors, interleukins, cytokines and extracellular vesicles, and that a greater understanding of the pathways that dictate tumor behavior is needed for the development of new antitumor therapies. Furthermore, these therapies must target not only tumor proliferating cells and CSCs, but also they need to be combined with other therapies targeting TME. The interconnected signaling pathways involved in the altered secretome must also be targeted, since tumors can develop evasion mechanisms and have different alternative routes to fulfil their functions. Lastly, robust biomarkers are needed to identify those patients most likely to benefit from these therapies in order to personalize antitumor treatments (Fig. 4).

References 328

  1. 1.

    Zhang S, Balch C, Chan MW, Lai HC, Matei D, Schilder JM, et al. Identification and characterization of ovarian cancer-initiating cells from primary human tumors. Cancer Res. 2008;68:4311-4320.

    Not in our library10.1158/0008-5472.can-08-0364

  2. 2.

    Al-Hajj M, Wicha MS, Benito-Hernandez A, Morrison SJ, Clarke MF. Prospective identification of tumorigenic breast cancer cells. Proc Natl Acad Sci U S A. 2003;100:3983-3988.

    Not in our library10.1073/pnas.0530291100

  3. 3.

    Luo M, Clouthier SG, Deol Y, Liu S, Nagrath S, Azizi E, et al. Breast cancer stem cells: current advances and clinical implications. Methods Mol Biol. 2015;1293:1-49.

    Not in our library10.1007/978-1-4939-2519-3_1

  4. 4.

    Parada LF, Dirks PB, Wechsler-Reya RJ. Brain tumor stem cells remain in play. J Clin Oncol. 2017;35(21):2428-2431.

    Not in our library10.1200/jco.2017.73.9540

  5. 5.

    Heng WS, Gosens R, Kruyt FAE. Lung cancer stem cells: origin, features, maintenance mechanisms and therapeutic targeting. Biochem Pharmacol. 2019;160:121-133.

    Not in our library10.1016/j.bcp.2018.12.010

  6. 6.

    Fang D, Nguyen TK, Leishear K, Finko R, Kulp AN, Hotz S, et al. A tumorigenic subpopulation with stem cell properties in melanomas. Cancer Res. 2005;65:9328-9337.

    Not in our library10.1158/0008-5472.can-05-1343

  7. 7.

    Wang X, De JMK, Economides KD, Walker D, Yu H, Halili MV, et al. A luminal epithelial stem cell that is a cell of origin for prostate cancer. Nature. 2009;461:495-500.

    Not in our library10.1038/nature08361

  8. 8.

    Munro MJ, Wickremesekera SK, Peng L, Tan ST, Itinteang T. Cancer stem cells in colorectal cancer: a review. J Clin Pathol. 2018;71(2):110-116.

    Not in our library10.1136/jclinpath-2017-204739

  9. 9.

    Yamashita T, Wang XW. Cancer stem cells in the development of liver cancer. J Clin Invest. 2013;123(5):1911-1918.

    Not in our library10.1172/jci66024

  10. 10.

    Ni C, Huang J. Dynamic regulation of cancer stem cells and clinical challenges. Clin Transl Oncol. 2013;15:253-258.

    Not in our library10.1007/s12094-012-0927-7

  11. 11.

    Batlle E, Clevers H. Cancer stem cells revisited. Nat Med. 2017;23(10):1124-1134.

    Not in our library10.1038/nm.4409

  12. 12.

    Nassar D, Blanpain C. Cancer stem cells: basic concepts and therapeutic implications. Annu Rev Pathol Mech Dis. 2016;11:47-76.

    Not in our library10.1146/annurev-pathol-012615-044438

  13. 13.

    Magee JA, Piskounova E, Morrison SJ. Cancer stem cells: impact, heterogeneity, and uncertainty. Cancer Cell. 2012;21(3):283-296.

    Not in our library10.1016/j.ccr.2012.03.003

  14. 14.
  15. 15.

    Shiraishi A, Tachi K, Essid N, Tsuboi I, Nagano M, Kato T, et al. Hypoxia promotes the phenotypic change of aldehyde dehydrogenase activity of breast cancer stem cells. Cancer Sci. 2017;108:362-372.

    Not in our library10.1111/cas.13147

  16. 16.

    Chuthapisith S, Eremin J, El-Sheemey M, Eremin O. Breast cancer chemoresistance: emerging importance of cancer stem cells. Surg Oncol. 2010;19(1):27-32.

    Not in our library10.1016/j.suronc.2009.01.004

  17. 17.

    Tirino V, Desiderio V, Paino F, De Rosa A, Papaccio F, La Noce M, et al. Cancer stem cells in solid tumors: an overview and new approaches for their isolation and characterization. FASEB J. 2013;27(1):13-24.

    Not in our library10.1096/fj.12-218222

  18. 18.

    Hanahan D, Coussens LM. Accessories to the crime: functions of cells recruited to the tumor microenvironment. Cancer Cell. 2012;21(3):309-322.

    Not in our library10.1016/j.ccr.2012.02.022

  19. 19.

    Wu T, Dai Y. Tumor microenvironment and therapeutic response. Cancer Lett. 2017;387:61-68.

    Not in our library10.1016/j.canlet.2016.01.043

  20. 20.
  21. 21.

    Eble JA, Niland S. The extracellular matrix in tumor progression and metastasis. Clin Exp Metastasis. 2019;36(3):171-198.

    Not in our library10.1007/s10585-019-09966-1

  22. 22.
  23. 23.

    Samanta D, Gilkesa DM, Chaturvedia P, Xiang L, Semenza GL. Hypoxia-inducible factors are required for chemotherapy resistance of breast cancer stem cells. Proc Natl Acad Sci U S A. 2014;111(50):E5429-E5438.

    Not in our library10.1073/pnas.1421438111

  24. 24.
  25. 25.

    Capece D, Verzella D, Tessitore A, Alesse E, Capalbo C, Zazzeroni F. Cancer secretome and inflammation: the bright and the dark sides of NF-κB. Semin Cell Dev Biol. 2018;78:51-61.

    Not in our library10.1016/j.semcdb.2017.08.004

  26. 26.

    Ye J, Wu D, Wu P, Chen Z, Huang J. The cancer stemcell niche: cross talk between cancer stemcells and their microenvironment. Tumor Biol. 2014;35(5):3945-3951.

    Not in our library10.1007/s13277-013-1561-x

  27. 27.

    Abels ER, Breakefield XO. Introduction to extracellular vesicles: biogenesis, RNA cargo selection, content, release, and uptake. Cell Mol Neurobiol. 2016;36(3):301-312.

    Not in our library10.1007/s10571-016-0366-z

  28. 28.
  29. 29.

    Skog J, Würdinger T, van Rijn S, Meijer DH, Gainche L, Curry WT, et al. Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers. Nat Cell Biol. 2008;10:1470-1476.

    Not in our library10.1038/ncb1800

  30. 30.

    Taraboletti G, D’Ascenzo S, Giusti I, Marchetti D, Borsotti P, Millimaggi D, et al. Bioavailability of VEGF in tumor-shed vesicles depends on vesicle burst induced by acidic pH 1. Neoplasia. 2006;8:96-103.

    Not in our library10.1593/neo.05583

  31. 31.

    Chen X, Liang H, Zhang J, Zen K, Zhang CY. Secreted microRNAs: a new form of intercellular communication. Trends Cell Biol. 2012;22:125-132.

    Not in our library10.1016/j.tcb.2011.12.001

  32. 32.

    Webber J, Steadman R, Mason MD, Tabi Z, Clayton A. Cancer exosomes trigger fibroblast to myofibroblast differentiation. Cancer Res. 2010;70(23):9621-9630.

    Not in our library10.1158/0008-5472.can-10-1722

  33. 33.

    Kim J, Kim TY, Lee MS, Mun JY, Ihm C, Kim SA. Exosome cargo reflects TGF-β1-mediated epithelial-to-mesenchymal transition (EMT) status in A549 human lung adenocarcinoma cells. Biochem Biophys Res Commun. 2016;478:643-648.

    Not in our library10.1016/j.bbrc.2016.07.124

  34. 34.
  35. 35.

    Aga M, Bentz GL, Raffa S, Torrisi MR, Kondo S, Wakisaka N, et al. Exosomal HIF1α supports invasive potential of nasopharyngeal carcinoma-associated LMP1-positive exosomes. Oncogene. 2014;33:4613-4622.

    Not in our library10.1038/onc.2014.66

  36. 36.

    Zhao Y, Dong Q, Li J, Zhang K, Qin J, Zhao J, et al. Targeting cancer stem cells and their niche: perspectives for future therapeutic targets and strategies. Semin Cancer Biol. 2018;53:139-155.

    Not in our library10.1016/j.semcancer.2018.08.002

  37. 37.

    Najafi M, Mortezaee K, Majidpoor J. Cancer stem cell (CSC) resistance drivers. Life Sci. 2019;234:116781.

    Not in our library10.1016/j.lfs.2019.116781

  38. 38.

    Hu H, Gatti RA. MicroRNAs: new players in the DNA damage response. J Mol Cell Biol. 2011;3:151-158.

    Not in our library10.1093/jmcb/mjq042

  39. 39.

    Shen M, Dong C, Ruan X, Yan W, Cao M, Pizzo D, et al. Chemotherapy-induced extracellular vesicle miRNAs promote breast cancer stemness by targeting OneCUT2. Cancer Res. 2019;79:3608-3621.

    Not in our library10.1158/0008-5472.can-18-4055

  40. 40.

    Yang Q, Diamond MP, Al-Hendy A. The emerging role of extracellular vesicle-derived miRNAs: implication in cancer progression and stem cell related diseases. J Clin Epigenet. 2016;2:1-10.

    Not in our library

  41. 41.

    Paltridge JL, Belle L, Khew-Goodall Y. The secretome in cancer progression. Biochim Biophys Acta. 2013;1834:2233-2241.

    Not in our library10.1016/j.bbapap.2013.03.014

  42. 42.

    Wang M, Yu F, Ding H, Wang Y, Li P, Wang K. Emerging function and clinical values of exosomal microRNAs in cancer. Mol Ther Nucleic Acids. 2019;16:791-804.

    Not in our library10.1016/j.omtn.2019.04.027

  43. 43.

    Kim J, Yao F, Xiao Z, Sun Y, Ma L. MicroRNAs and metastasis: small RNAs play big roles. Cancer Metastasis Rev. 2018;37:5-15.

    Not in our library10.1007/s10555-017-9712-y

  44. 44.

    Shoff M, Booker T, Leavitt B, Harmon D, Kingsley K, Howard KM. Differential exosome miRNA expression in oral cancer stem cells. ExRNA. 2020;2:1-9.

    Not in our library10.1186/s41544-019-0045-6

  45. 45.

    Grange C, Tapparo M, Collino F, Vitillo L, Damasco C, Deregibus MC, et al. Microvesicles released from human renal cancer stem cells stimulate angiogenesis and formation of lung premetastatic niche. Cancer Res. 2011;71:5346-5356.

    Not in our library10.1158/0008-5472.can-11-0241

  46. 46.
  47. 47.

    Shirmohamadi M, Eghbali E, Najjary S, Mokhtarzadeh A, Kojabad AB, Hajiasgharzadeh K, et al. Regulatory mechanisms of microRNAs in colorectal cancer and colorectal cancer stem cells. J Cell Physiol. 2020;235:776-789.

    Not in our library10.1002/jcp.29042

  48. 48.

    Sharma A. Role of stem cell derived exosomes in tumor biology. Int J Cancer. 2018;142:1086-1092.

    Not in our library10.1002/ijc.31089

  49. 49.

    Heiler S, Wang Z, Zöller M. Pancreatic cancer stem cell markers and exosomes—the incentive push. World J Gastroenterol. 2016;22:5971-6007.

    Not in our library10.3748/wjg.v22.i26.5971

  50. 50.
  51. 51.

    Jiménez G, Hackenberg M, Catalina P, Boulaiz H, Griñán-Lisón C, García MÁ, et al. Mesenchymal stem cell’s secretome promotes selective enrichment of cancer stem-like cells with specific cytogenetic profile. Cancer Lett. 2018;429:78-88.

    Not in our library10.1016/j.canlet.2018.04.042

  52. 52.

    Liu S, Ginestier C, Ou SJ, Clouthier SG, Patel SH, Monville F, et al. Breast cancer stem cells are regulated by mesenchymal stem cells through cytokine networks. Cancer Res. 2011;71(2):614-624.

    Not in our library10.1158/0008-5472.can-10-0538

  53. 53.

    Tang Z, Yu M, Miller F, Berk RS, Tromp G, Kosir MA. Increased invasion through basement membrane by CXCL7-transfected breast cells. Am J Surg. 2008;196:690-696.

    Not in our library10.1016/j.amjsurg.2008.08.001

  54. 54.

    Desurmont T, Skrypek N, Duhamel A, Jonckheere N, Millet G, Leteurtre E, et al. Overexpression of chemokine receptor CXCR2 and ligand CXCL7 in liver metastases from colon cancer is correlated to shorter disease-free and overall survival. Cancer Sci. 2015;106:262-269.

    Not in our library10.1111/cas.12603

  55. 55.

    Nomura A, Gupta VK, Dauer P, Sharma NS, Dudeja V, Merchant N, et al. NFκB-mediated invasiveness in CD133+ pancreatic TICs is regulated by autocrine and paracrine activation of IL1 signaling. Mol Cancer Res. 2018;16:162-172.

    Not in our library10.1158/1541-7786.mcr-17-0221

  56. 56.
  57. 57.

    Escobar P, Bouclier C, Serret J, Bièche I, Brigitte M, Caicedo A, et al. IL-1β produced by aggressive breast cancer cells is one of the factors that dictate their interactions with mesenchymal stem cells through chemokine production. Oncotarget. 2015;6:29034-29047.

    Not in our library10.18632/oncotarget.4732

  58. 58.

    Malik A, Kanneganti T-D. Function and regulation of IL-1α in inflammatory diseases and cancer. Immunol Rev. 2018;281(1):124-137.

    Not in our library10.1111/imr.12615

  59. 59.

    Castaño Z, San Juan BP, Spiegel A, Pant A, DeCristo MJ, Laszewski T, et al. IL-1β inflammatory response driven by primary breast cancer prevents metastasis-initiating cell colonization. Nat Cell Biol. 2018;20:1084-1097.

    Not in our library10.1038/s41556-018-0173-5

  60. 60.

    Pavon LF, Sibov TT, De Souza AV, Da Cruz EF, Malheiros SMF, Cabral FR, et al. Tropism of mesenchymal stem cell toward CD133+ stem cell of glioblastoma in vitro and promote tumor proliferation in vivo. Stem Cell Res Ther. 2018;9(1):310.

    Not in our library10.1186/s13287-018-1049-0

  61. 61.

    Meng W, Xue S, Chen Y. The role of CXCL12 in tumor microenvironment. Gene. 2018;641:105-110.

    Not in our library10.1016/j.gene.2017.10.015

  62. 62.

    Dillenburg-Pilla P, Patel V, Mikelis CM, Zárate-Bladés CR, Doçi CL, Amornphimoltham P, et al. SDF-1/CXCL12 induces directional cell migration and spontaneous metastasis via a CXCR4/Gαi/mTORC1 axis. FASEB J. 2015;29(3):1056-1068.

    Not in our library10.1096/fj.14-260083

  63. 63.

    Kalluri R, Zeisberg M. Fibroblasts in cancer. Nat Rev Cancer. 2006;6(5):392-401.

    Not in our library10.1038/nrc1877

  64. 64.

    Alguacil-Núñez C, Ferrer-Ortiz I, García-Verdú E, López-Pirez P, Llorente-Cortijo IM, Sainz B. Current perspectives on the crosstalk between lung cancer stem cells and cancer-associated fibroblasts. Crit Rev Oncol Hematol. 2018;125:102-110.

    Not in our library10.1016/j.critrevonc.2018.02.015

  65. 65.

    Lee KW, Yeo SY, Sung CO, Kim SH. Twist1 is a key regulator of cancer-associated fibroblasts. Cancer Res. 2015;75:73-85.

    Not in our library10.1158/0008-5472.can-14-0350

  66. 66.

    Moore-Smith LD, Isayeva T, Lee JH, Frost A, Ponnazhagan S. Silencing of TGF-β1 in tumor cells impacts MMP-9 in tumor microenvironment. Sci Rep. 2017;7:1-10.

    Not in our library10.1038/s41598-017-09062-y

  67. 67.

    Tsuyada A, Chow A, Wu J, Somlo G, Chu P, Loera S, et al. CCL2 mediates cross-talk between cancer cells and stromal fibroblasts that regulates breast cancer stem cells. Cancer Res. 2012;72:2768-2779.

    Not in our library10.1158/0008-5472.can-11-3567

  68. 68.

    Tan HX, Xiao ZG, Huang T, Fang ZX, Liu Y, Huang ZC. CXCR4/TGF-β1 mediated self-differentiation of human mesenchymal stem cells to carcinoma-associated fibroblasts and promoted colorectal carcinoma development. Cancer Biol Ther. 2020;21:248-257.

    Not in our library10.1080/15384047.2019.1685156

  69. 69.

    Shangguan L, Ti X, Krause U, Hai B, Zhao Y, Yang Z, et al. Inhibition of TGF-β/Smad signaling by BAMBI blocks differentiation of human mesenchymal stem cells to carcinoma-associated fibroblasts and abolishes their protumor effects. Stem Cells. 2012;30:2810-2819.

    Not in our library10.1002/stem.1251

  70. 70.

    Valenti G, Quinn HM, Heynen GJJE, Lan L, Holland JD, Vogel R, et al. Cancer stem cells regulate cancer-associated fibroblasts via activation of hedgehog signaling in mammary gland tumors. Cancer Res. 2017;77:2134-2147.

    Not in our library10.1158/0008-5472.can-15-3490

  71. 71.

    Zamarron BF, Chen W. Dual roles of immune cells and their factors in cancer development and progression. Int J Biol Sci. 2011;7:651-658.

    Not in our library10.7150/ijbs.7.651

  72. 72.

    Qian BZ, Li J, Zhang H, Kitamura T, Zhang J, Campion LR, et al. CCL2 recruits inflammatory monocytes to facilitate breast-tumour metastasis. Nature. 2011;475:222-225.

    Not in our library10.1038/nature10138

  73. 73.

    Vahidian F, Duijf PHG, Safarzadeh E, Derakhshani A, Baghbanzadeh A, Baradaran B. Interactions between cancer stem cells, immune system and some environmental components: friends or foes? Immunol Lett. 2019;208:19-29.

    Not in our library10.1016/j.imlet.2019.03.004

  74. 74.

    Yi L, Xiao H, Xu M, Ye X, Hu J, Li F, et al. Glioma-initiating cells: a predominant role in microglia/macrophages tropism to glioma. J Neuroimmunol. 2011;232:75-82.

    Not in our library10.1016/j.jneuroim.2010.10.011

  75. 75.

    Wu A, Wei J, Kong L-Y, Wang Y, Priebe W, Qiao W, et al. Glioma cancer stem cells induce immunosuppressive macrophages/microglia. Neuro Oncol. 2010;12:1113-1125.

    Not in our library10.1093/neuonc/noq082

  76. 76.

    Todaro M, Alea MP, Di Stefano AB, Cammareri P, Vermeulen L, Iovino F, et al. Colon cancer stem cells dictate tumor growth and resist cell death by production of interleukin-4. Cell Stem Cell. 2007;1:389-402.

    Not in our library10.1016/j.stem.2007.08.001

  77. 77.

    Shipitsin M, Campbell LL, Argani P, Weremowicz S, Bloushtain-Qimron N, Yao J, et al. Molecular definition of breast tumor heterogeneity. Cancer Cell. 2007;11:259-273.

    Not in our library10.1016/j.ccr.2007.01.013

  78. 78.

    Lottaz C, Beier D, Meyer K, Kumar P, Hermann A, Schwarz J, et al. Transcriptional profiles of CD133+ and CD133− glioblastoma-derived cancer stem cell lines suggest different cells of origin. Cancer Res. 2010;70:2030-2040.

    Not in our library10.1158/0008-5472.can-09-1707

  79. 79.

    Chen WJ, Jin W, Hardegen N, Lei KJ, Li L, Marinos N, et al. Conversion of peripheral CD4+CD25− Naive T cells to CD4+CD25+ regulatory T cells by TGF-β induction of transcription factor Foxp3. J Exp Med. 2003;198:1875-1886.

    Not in our library10.1084/jem.20030152

  80. 80.

    Liu VC, Wong LY, Jang T, Shah AH, Park I, Yang X, et al. Tumor evasion of the immune system by converting CD4 + CD25− T cells into CD4+ CD25+ T regulatory cells: role of tumor-derived TGF-β. J Immunol. 2007;178:2883-2892.

    Not in our library10.4049/jimmunol.178.5.2883

  81. 81.

    Wei J, Barr J, Kong LY, Wang Y, Wu A, Sharma AK, et al. Glioblastoma cancer-initiating cells inhibit T-cell proliferation and effector responses by the signal transducers and activators of transcription 3 pathway. Mol Cancer Ther. 2010;9:67-78.

    Not in our library10.1158/1535-7163.mct-09-0734

  82. 82.

    Schatton T, Schütte U, Frank NY, Zhan Q, Hoerning A, Robles SC, et al. Modulation of T-cell activation by malignant melanoma initiating cells. Cancer Res. 2010;70:697-708.

    Not in our library10.1158/0008-5472.can-09-1592

  83. 83.

    Jarnicki AG, Lysaght J, Todryk S, Mills KHG. Suppression of antitumor immunity by IL-10 and TGF-β-producing T cells infiltrating the growing tumor: influence of tumor environment on the induction of CD4+ and CD8+ regulatory T cells. J Immunol. 2006;177:896-904.

    Not in our library10.4049/jimmunol.177.2.896

  84. 84.

    Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646-674.

    Not in our library10.1016/j.cell.2011.02.013

  85. 85.

    Chikamatsu K, Takahashi G, Sakakura K, Ferrone S, Masuyama K. Immunoregulatory properties of CD44+ cancer stem-like cells in squamous cell carcinoma of the head and neck. Head Neck. 2011;33:208-215.

    Not in our library10.1002/hed.21420

  86. 86.

    Di Tomaso T, Mazzoleni S, Wang E, Sovena G, Clavenna D, Franzin A, et al. Immunobiological characterization of cancer stem cells isolated from glioblastoma patients. Clin Cancer Res. 2010;16:800-813.

    Not in our library10.1158/1078-0432.ccr-09-2730

  87. 87.

    Kareva I. Immune evasion through competitive inhibition: the shielding effect of cancer non-stem cells. J Theor Biol. 2015;364:40-48.

    Not in our library10.1016/j.jtbi.2014.08.035

  88. 88.

    Volonté A, Di Tomaso T, Spinelli M, Todaro M, Sanvito F, Albarello L, et al. Cancer-initiating cells from colorectal cancer patients escape from T cell-mediated immunosurveillance in vitro through membrane-bound IL-4. J Immunol. 2014;192:523-532.

    Not in our library10.4049/jimmunol.1301342

  89. 89.

    Yoshimura A, Muto G. TGF-β function in immune suppression. Curr Top Microbiol Immunol. 2011;350:127-147.

    Not in our library10.1007/82_2010_87

  90. 90.
  91. 91.

    Grange C, Tapparo M, Tritta S, Deregibus MC, Battaglia A, Gontero P, et al. Role of HLA-G and extracellular vesicles in renal cancer stem cell-induced inhibition of dendritic cell differentiation. BMC Cancer. 2015;15:1009.

    Not in our library10.1186/s12885-015-2025-z

  92. 92.

    Ponti D, Costa A, Zaffaroni N, Pratesi G, Petrangolini G, Coradini D, et al. Isolation and in vitro propagation of tumorigenic breast cancer cells with stem/progenitor cell properties. Cancer Res. 2005;65:5506-5511.

    Not in our library10.1158/0008-5472.can-05-0626

  93. 93.

    Bao S, Wu Q, Sathornsumetee S, Hao Y, Li Z, Hjelmeland AB, et al. Stem cell-like glioma cells promote tumor angiogenesis through vascular endothelial growth factor. Cancer Res. 2006;66:7843-7848.

    Not in our library10.1158/0008-5472.can-06-1010

  94. 94.

    Folkins C, Shaked Y, Man S, Tang T, Lee CR, Zhu Z, et al. Glioma tumor stem-like cells promote tumor angiogenesis and vasculogenesis via vascular endothelial growth factor and stromal-derived factor 1. Cancer Res. 2009;69:7243-7251.

    Not in our library10.1158/0008-5472.can-09-0167

  95. 95.

    Oswald J, Boxberger S, Joergensen B, Bornhaeuser M, Ehninger G, Werner C. Mesenchymal stem cells can be differentiated into endothelial cells in vitro. Stem Cells. 2004;22(3):377-384.

    Not in our library10.1634/stemcells.22-3-377

  96. 96.

    Song YS, Lee HJ, Park IH, Kim WK, Ku JH, Kim SU. Potential differentiation of human mesenchymal stem cell transplanted in rat corpus cavernosum toward endothelial or smooth muscle cells. Int J Impot Res. 2007;19:378-385.

    Not in our library10.1038/sj.ijir.3901539

  97. 97.
  98. 98.

    Ricci-Vitiani L, Pallini R, Biffoni M, Todaro M, Invernici G, Cenci T, et al. Tumour vascularization via endothelial differentiation of glioblastoma stem-like cells. Nature. 2010;468:824-830.

    Not in our library10.1038/nature09557

  99. 99.

    Zhao Y, Dong J, Huang Q, Lou M, Wang A, Lan Q. Endothelial cell transdifferentiation of human glioma stem progenitor cells in vitro. Brain Res Bull. 2010;82:308-312.

    Not in our library10.1016/j.brainresbull.2010.06.006

  100. 100.

    Bussolati B, Grange C, Sapino A, Camussi G. Endothelial cell differentiation of human breast tumour stem/progenitor cells. J Cell Mol Med. 2009;13:309-319.

    Not in our library10.1111/j.1582-4934.2008.00338.x

  101. 101.

    Yao X, Ping Y, Liu Y, Chen K, Yoshimura T, Liu M, et al. Vascular endothelial growth factor receptor 2 (VEGFR-2) plays a key role in vasculogenic mimicry formation, neovascularization and tumor initiation by glioma stem-like cells. PLoS ONE. 2013;8(12):e57188.

    Not in our library10.1371/journal.pone.0057188

  102. 102.

    Frank NY, Schatton T, Kim S, Zhan Q, Wilson BJ, Ma J, et al. VEGFR-1 expressed by malignant melanoma-initiating cells is required for tumor growth. Cancer Res. 2011;71:1474-1485.

    Not in our library10.1158/0008-5472.can-10-1660

  103. 103.

    Wang R, Chadalavada K, Wilshire J, Kowalik U, Hovinga KE, Geber A, et al. Glioblastoma stem-like cells give rise to tumour endothelium. Nature. 2010;468:829-835.

    Not in our library10.1038/nature09624

  104. 104.

    Lai CY, Schwartz BE, Hsu MY. CD133+ melanoma subpopulations contribute to perivascular niche morphogenesis and tumorigenicity through vasculogenic mimicry. Cancer Res. 2012;72:5111-5118.

    Not in our library10.1158/0008-5472.can-12-0624

  105. 105.

    Wang SS, Gao XL, Liu X, Gao SY, Fan YL, Jiang YP, et al. CD133+ cancer stem-like cells promote migration and invasion of salivary adenoid cystic carcinoma by inducing vasculogenic mimicry formation. Oncotarget. 2016;7:29051-29062.

    Not in our library10.18632/oncotarget.8665

  106. 106.

    Liu TJ, Sun BC, Zhao XL, Zhao XM, Sun T, Gu Q, et al. CD133 + cells with cancer stem cell characteristics associates with vasculogenic mimicry in triple-negative breast cancer. Oncogene. 2013;32:544-553.

    Not in our library10.1038/onc.2012.85

  107. 107.

    Wang X, Cao Y, Zhang S, Chen Z, Fan L, Shen X, et al. Stem cell autocrine CXCL12/CXCR4 stimulates invasion and metastasis of esophageal cancer. Oncotarget. 2017;8:36149.

    Not in our library10.18632/oncotarget.15254

  108. 108.

    Ping YF, Yao XH, Jiang JY, Zhao LT, Yu SC, Jiang T, et al. The chemokine CXCL12 and its receptor CXCR4 promote glioma stem cell-mediated VEGF production and tumour angiogenesis via PI3K/AKT signalling. J Pathol. 2011;224:344-354.

    Not in our library10.1002/path.2908

  109. 109.
  110. 110.

    Xu C, Wu X, Zhu J. VEGF promotes proliferation of human glioblastoma multiforme stem-like cells through VEGF receptor 2. Sci World J. 2013;2013:417413.

    Not in our library10.1155/2013/417413

  111. 111.

    Hamerlik P, Lathia JD, Rasmussen R, Wu Q, Bartkova J, Lee MH, et al. Autocrine VEGF-VEGFR2-Neuropilin-1 signaling promotes glioma stem-like cell viability and tumor growth. J Exp Med. 2012;209:507-520.

    Not in our library10.1084/jem.20111424

  112. 112.

    Liu K, Hao M, Ouyang Y, Zheng J, Chen D. CD133 + cancer stem cells promoted by VEGF accelerate the recurrence of hepatocellular carcinoma. Sci Rep. 2017;7:41499.

    Not in our library10.1038/srep41499

  113. 113.

    Kang Y, Siegel PM, Shu W, Drobnjak M, Kakonen SM, Cordón-Cardo C, et al. A multigenic program mediating breast cancer metastasis to bone. Cancer Cell. 2003;3:537-549.

    Not in our library10.1016/s1535-6108(03)00132-6

  114. 114.

    Pertovaara L, Kaipainen A, Mustonen T, Orpana A, Ferrara N, Saksela O, et al. Vascular endothelial growth factor is induced in response to transforming growth factor-β in fibroblastic and epithelial cells. J Biol Chem. 1994;269:6271-6274.

    Not in our library

  115. 115.

    Thirant C, Galan-Moya EM, Gustavo Dubois L, Pinte S, Chafey P, Broussard C, et al. Differential proteomic analysis of human glioblastoma and neural stem cells reveals HDGF as a novel angiogenic secreted factor. Stem Cells. 2012;30:845-853.

    Not in our library10.1002/stem.1062

  116. 116.

    Viallard C, Larrivée B. Tumor angiogenesis and vascular normalization: alternative therapeutic targets. Angiogenesis. 2017;20(4):409-426.

    Not in our library10.1007/s10456-017-9562-9

  117. 117.

    Abramsson A, Lindblom P, Betsholtz C. Endothelial and nonendothelial sources of PDGF-B regulate pericyte recruitment and influence vascular pattern formation in tumors. J Clin Invest. 2003;112:1142-1151.

    Not in our library10.1172/jci200318549

  118. 118.

    Kim JW, Tchernyshyov I, Semenza GL, Dang CV. HIF-1-mediated expression of pyruvate dehydrogenase kinase: A metabolic switch required for cellular adaptation to hypoxia. Cell Metab. 2006;3:177-185.

    Not in our library10.1016/j.cmet.2006.02.002

  119. 119.

    Holmquist-Mengelbier L, Fredlund E, Löfstedt T, Noguera R, Navarro S, Nilsson H, et al. Recruitment of HIF-1α and HIF-2α to common target genes is differentially regulated in neuroblastoma: HIF-2α promotes an aggressive phenotype. Cancer Cell. 2006;10:413-423.

    Not in our library10.1016/j.ccr.2006.08.026

  120. 120.

    Soeda A, Park M, Lee D, Mintz A, Androutsellis-Theotokis A, McKay RD, et al. Hypoxia promotes expansion of the CD133-positive glioma stem cells through activation of HIF-1α. Oncogene. 2009;28:3949-3959.

    Not in our library10.1038/onc.2009.252

  121. 121.

    Wang Y, Liu Y, Malek SN, Zheng P, Liu Y. Targeting HIF1α eliminates cancer stem cells in hematological malignancies. Cell Stem Cell. 2011;8:399-411.

    Not in our library10.1016/j.stem.2011.02.006

  122. 122.

    Ng KP, Manjeri A, Lee KL, Huang W, Tan SY, Chuah CTH, et al. Physiologic hypoxia promotes maintenance of CML stem cells despite effective BCR-ABL1 inhibition. Blood. 2014;123:3316-3326.

    Not in our library10.1182/blood-2013-07-511907

  123. 123.

    Gammon L, Biddle A, Heywood HK, Johannessen AC, Mackenzie IC. Sub-sets of cancer stem cells differ intrinsically in their patterns of oxygen metabolism. PLoS ONE. 2013;8(4):e62493.

    Not in our library10.1371/journal.pone.0062493

  124. 124.

    Kappler M, Taubert H, Schubert J, Vordermark D, Eckert AW. The real face of HIF1α in the tumor process. Cell Cycle. 2012;11(21):3932-3936.

    Not in our library10.4161/cc.21854

  125. 125.

    Kuwai T, Kitadai Y, Tanaka S, Onogawa S, Matsutani N, Kaio E, et al. Expression of hypoxia-inducible factor-1α is associated with tumor vascularization in human colorectal carcinoma. Int J Cancer. 2003;105:176-181.

    Not in our library10.1002/ijc.11068

  126. 126.

    Forsythe JA, Jiang BH, Iyer NV, Agani F, Leung SW, Koos RD, et al. Activation of vascular endothelial growth factor gene transcription by hypoxia-inducible factor 1. Mol Cell Biol. 1996;16:4604-4613.

    Not in our library10.1128/mcb.16.9.4604

  127. 127.

    Kim JW, Evans C, Weidemann A, Takeda N, Lee YS, Stockmann C, et al. Loss of fibroblast HIF-1α accelerates tumorigenesis. Cancer Res. 2012;72:3187-3195.

    Not in our library10.1158/0008-5472.can-12-0534

  128. 128.

    Vaupel P, Multhoff G. Hypoxia-/HIF-1α-driven factors of the tumor microenvironment impeding antitumor immune responses and promoting malignant progression. Adv Exp Med Biol. 2018;1072:171-175.

    Not in our library10.1007/978-3-319-91287-5_27

  129. 129.

    Li Z, Bao S, Wu Q, Wang H, Eyler C, Sathornsumetee S, et al. Hypoxia-inducible factors regulate tumorigenic capacity of glioma stem cells. Cancer Cell. 2009;15:501-513.

    Not in our library10.1016/j.ccr.2009.03.018

  130. 130.

    Huang X, Ding L, Bennewith KL, Tong RT, Welford SM, Ang KK, et al. Hypoxia-Inducible mir-210 regulates normoxic gene expression involved in tumor initiation. Mol Cell. 2009;35:856-867.

    Not in our library10.1016/j.molcel.2009.09.006

  131. 131.

    Ho AS, Huang X, Cao H, Christman-Skieller C, Bennewith K, Le QT, et al. Circulating miR-210 as a novel hypoxia marker in pancreatic cancer. Transl Oncol. 2010;3:109-113.

    Not in our library10.1593/tlo.09256

  132. 132.

    Czyzyk-Krzeska MF, Zhang X. MiR-155 at the heart of oncogenic pathways. Oncogene. 2014;33(6):677-678.

    Not in our library10.1038/onc.2013.26

  133. 133.

    Woosley AN, Dalton AC, Hussey GS, Howley BV, Mohanty BK, Grelet S, et al. TGFβ promotes breast cancer stem cell self-renewal through an ILEI/LIFR signaling axis. Oncogene. 2019;38:3794-3811.

    Not in our library10.1038/s41388-019-0703-z

  134. 134.

    Nakano M, Kikushige Y, Miyawaki K, Kunisaki Y, Mizuno S, Takenaka K, et al. Dedifferentiation process driven by TGF-beta signaling enhances stem cell properties in human colorectal cancer. Oncogene. 2019;38:780-793.

    Not in our library10.1038/s41388-018-0480-0

  135. 135.

    Matsumoto T, Yokoi A, Hashimura M, Oguri Y, Akiya M, Saegusa M. TGF-β-mediated LEFTY/Akt/GSK-3β/Snail axis modulates epithelial-mesenchymal transition and cancer stem cell properties in ovarian clear cell carcinomas. Mol Carcinog. 2018;57:957-967.

    Not in our library10.1002/mc.22816

  136. 136.

    Ikushima H, Todo T, Ino Y, Takahashi M, Miyazawa K, Miyazono K. Autocrine TGF-β signaling maintains tumorigenicity of glioma-initiating cells through Sry-related HMG-box factors. Cell Stem Cell. 2009;5:504-514.

    Not in our library10.1016/j.stem.2009.08.018

  137. 137.

    Anido J, Sáez-Borderías A, Gonzàlez-Juncà A, Rodón L, Folch G, Carmona MA, et al. TGF-β receptor inhibitors target the CD44high/Id1high glioma-initiating cell population in human glioblastoma. Cancer Cell. 2010;18:655-668.

    Not in our library10.1016/j.ccr.2010.10.023

  138. 138.

    Peñuelas S, Anido J, Prieto-Sánchez RM, Folch G, Barba I, Cuartas I, et al. TGF-β increases glioma-initiating cell self-renewal through the induction of LIF in human glioblastoma. Cancer Cell. 2009;15:315-327.

    Not in our library10.1016/j.ccr.2009.02.011

  139. 139.

    Lonardo E, Hermann PC, Mueller MT, Huber S, Balic A, Miranda-Lorenzo I, et al. Nodal/activin signaling drives self-renewal and tumorigenicity of pancreatic cancer stem cells and provides a target for combined drug therapy. Cell Stem Cell. 2011;9:433-446.

    Not in our library10.1016/j.stem.2011.10.001

  140. 140.

    David CJ, Massagué J. Contextual determinants of TGFβ action in development, immunity and cancer. Nat Rev Mol Cell Biol. 2018;19(7):419-435.

    Not in our library10.1038/s41580-018-0007-0

  141. 141.

    Wang L, Liu Z, Balivada S, Shrestha T, Bossmann S, Pyle M, et al. Interleukin-1β and transforming growth factor- cooperate to induce neurosphere formation and increase tumorigenicity of adherent LN-229 glioma cells. Stem Cell Res Ther. 2012;3:5.

    Not in our library10.1186/scrt96

  142. 142.

    Kim SY, Kang JW, Song X, Kim BK, Yoo YD, Kwon YT, et al. Role of the IL-6-JAK1-STAT3-Oct-4 pathway in the conversion of non-stem cancer cells into cancer stem-like cells. Cell Signal. 2013;25:961-969.

    Not in our library10.1016/j.cellsig.2013.01.007

  143. 143.

    Sansone P, Storci G, Tavolari S, Guarnieri T, Giovannini C, Taffurelli M, et al. IL-6 triggers malignant features in mammospheres from human ductal breast carcinoma and normal mammary gland. J Clin Invest. 2007;117:3988-4002.

    Not in our library10.1172/jci32533

  144. 144.

    Grivennikov SI, Greten FR, Karin M. Immunity, inflammation, and cancer. Cell. 2010;140:883-899.

    Not in our library10.1016/j.cell.2010.01.025

  145. 145.

    Wang T, Song P, Zhong T, Wang X, Xiang X, Liu Q, et al. The inflammatory cytokine IL-6 induces FRA1 deacetylation promoting colorectal cancer stem-like properties. Oncogene. 2019;38:4932-4947.

    Not in our library10.1038/s41388-019-0763-0

  146. 146.

    Albino D, Civenni G, Rossi S, Mitra A, Catapano CV, Carbone GM. The ETS factor ESE3/EHF represses IL-6 preventing STAT3 activation and expansion of the prostate cancer stem-like compartment. Oncotarget. 2016;7:76756-76768.

    Not in our library10.18632/oncotarget.12525

  147. 147.

    Wang Y, Zong X, Mitra S, Mitra AK, Matei D, Nephew KP. IL-6 mediates platinum-induced enrichment of ovarian cancer stem cells. JCI Insight. 2018;3(23):e122360.

    Not in our library10.1172/jci.insight.122360

  148. 148.

    Chen L, Fan J, Chen H, Meng Z, Chen Z, Wang P, et al. The IL-8/CXCR1 axis is associated with cancer stem cell-like properties and correlates with clinical prognosis in human pancreatic cancer cases. Sci Rep. 2014;4:5911.

    Not in our library10.1038/srep05911

  149. 149.

    Ginestier C, Liu S, Diebel ME, Korkaya H, Luo M, Brown M, et al. CXCR1 blockade selectively targets human breast cancer stem cells in vitro and in xenografts. J Clin Invest. 2010;120:485-497.

    Not in our library10.1172/jci39397

  150. 150.

    Setti M, Osti D, Richichi C, Ortensi B, Del Bene M, Fornasari L, 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

  151. 151.

    Wang Z, von Au A, Schnölzer M, Hackert T, Zöller M. CD44v6-competent tumor exosomes promote motility, invasion and cancer-initiating cell marker expression in pancreatic and colorectal cancer cells. Oncotarget. 2016;7:55409-55436.

    Not in our library10.18632/oncotarget.10580

  152. 152.

    Ceppi P, Peter ME. MicroRNAs regulate both epithelial-to-mesenchymal transition and cancer stem cells. Oncogene. 2014;33:269-278.

    Not in our library10.1038/onc.2013.55

  153. 153.

    Rahimi K, Füchtbauer AC, Fathi F, Mowla SJ, Füchtbauer EM. Isolation of cancer stem cells by selection for miR-302 expressing cells. PeerJ. 2019;2019:1-16.

    Not in our library10.7717/peerj.6635

  154. 154.

    Toden S, Kunitoshi S, Cardenas J, Gu J, Hutchins E, Van Keuren-Jensen K, et al. Cancer stem cell-associated miRNAs serve as prognostic biomarkers in colorectal cancer. JCI Insight. 2019;4:1-15.

    Not in our library10.1172/jci.insight.125294

  155. 155.

    Justilien V, Regala RP, Tseng I-C, Walsh MP, Batra J, Radisky ES, et al. Matrix metalloproteinase-10 is required for lung cancer stem cell maintenance, tumor initiation and metastatic potential. PLoS ONE. 2012;7(4):e35040.

    Not in our library10.1371/journal.pone.0035040

  156. 156.

    Mariya T, Hirohashi Y, Torigoe T, Tabuchi Y, Asano T, Saijo H, et al. Matrix metalloproteinase-10 regulates stemness of ovarian cancer stem-like cells by activation of canonical Wnt signaling and can be a target of chemotherapy-resistant ovarian cancer. Oncotarget. 2016;7:26806-26822.

    Not in our library10.18632/oncotarget.8645

  157. 157.

    Gao Y, Feng J, Wu L, Zhan S, Sun J. Expression and pathological mechanism of MMP-9 and HIF-2α in CD133(+) lung cancer stem cells. Zhonghua Yi Xue Za Zhi. 2015;95:2607-2611.

    Not in our library

  158. 158.

    Ye X, Xu S, Xin Y, Yu S, Ping Y, Chen L, et al. Tumor-associated microglia/macrophages enhance the invasion of glioma stem-like cells via TGF-β1 signaling pathway. J Immunol. 2012;189:444-453.

    Not in our library10.4049/jimmunol.1103248

  159. 159.

    Yu Q, Stamenkovic I. Cell surface-localized matrix metalloproteinase-9 proteolytically activates TGF-β and promotes tumor invasion and angiogenesis. Genes Dev. 2000;14:163-176.

    Not in our library

  160. 160.

    Inoue A, Takahashi H, Harada H, Kohno S, Ohue S, Kobayashi K, et al. Cancer stem-like cells of glioblastoma characteristically express MMP-13 and display highly invasive activity. Int J Oncol. 2010;37:1121-1131.

    Not in our library10.3892/ijo_00000764

  161. 161.

    Long H, Xie R, Xiang T, Zhao Z, Lin S, Liang Z, et al. Autocrine CCL5 signaling promotes invasion and migration of CD133+ ovarian cancer stem-like cells via NF-κB-mediated MMP-9 upregulation. Stem Cells. 2012;30:2309-2319.

    Not in our library10.1002/stem.1194

  162. 162.

    Oskarsson T, Acharyya S, Zhang XHF, Vanharanta S, Tavazoie SF, Morris PG, et al. Breast cancer cells produce tenascin C as a metastatic niche component to colonize the lungs. Nat Med. 2011;17:867-874.

    Not in our library10.1038/nm.2379

  163. 163.
  164. 164.

    Nie S, Gurrea M, Zhu J, Thakolwiboon S, Heth JA, Muraszko KM, et al. Tenascin-C: A novel candidate marker for cancer stem cells in glioblastoma identified by tissue microarrays. J Proteome Res. 2015;14:814-822.

    Not in our library10.1021/pr5008653

  165. 165.

    Yoneura N, Takano S, Yoshitomi H, Nakata Y, Shimazaki R, Kagawa S, et al. Expression of annexin II and stromal tenascin C promotes epithelial to mesenchymal transition and correlates with distant metastasis in pancreatic cancer. Int J Mol Med. 2018;42:821-830.

    Not in our library10.3892/ijmm.2018.3652

  166. 166.

    Malanchi I, Santamaria-Martínez A, Susanto E, Peng H, Lehr H-A, Delaloye J-F, et al. Interactions between cancer stem cells and their niche govern metastatic colonization. Nature. 2011;481:85-89.

    Not in our library10.1038/nature10694

  167. 167.
  168. 168.
  169. 169.

    Shao R, Bao S, Bai X, Blanchette C, Anderson RM, Dang T, et al. Acquired expression of periostin by human breast cancers promotes tumor angiogenesis through up-regulation of vascular endothelial growth factor receptor 2 expression. Mol Cell Biol. 2004;24:3992-4003.

    Not in our library10.1128/mcb.24.9.3992-4003.2004

  170. 170.

    Cai H, Wang J, Xi S, Ni X, Chen Y, Yu Y, et al. Tenascin-c mediated vasculogenic mimicry formation via regulation of MMP2/MMP9 in glioma. Cell Death Dis. 2019;10:879.

    Not in our library10.1038/s41419-019-2102-3

  171. 171.
  172. 172.

    Mani SA, Guo W, Liao MJ, Eaton EN, Ayyanan A, Zhou AY, et al. The epithelial-mesenchymal transition generates cells with properties of stem cells. Cell. 2008;133:704-715.

    Not in our library10.1016/j.cell.2008.03.027

  173. 173.

    Ye J, Wu D, Shen J, Wu P, Ni C, Chen J, et al. Enrichment of colorectal cancer stem cells through epithelial-mesenchymal transition via CDH1 knockdown. Mol Med Rep. 2012;6:507-512.

    Not in our library10.3892/mmr.2012.938

  174. 174.
  175. 175.

    Bai X, Li YY, Zhang HY, Wang F, He HL, Yao JC, et al. Role of matrix metalloproteinase-9 in transforming growth factor-β1-induced epithelial—mesenchymal transition in esophageal squamous cell carcinoma. Onco Targets Ther. 2017;10:2837-2847.

    Not in our library10.2147/ott.s134813

  176. 176.
  177. 177.

    Smith AL, Robin TP, Ford HL. Molecular pathways: targeting the TGF-β pathway for cancer therapy. Clin Cancer Res. 2012;18:4514-4521.

    Not in our library10.1158/1078-0432.ccr-11-3224

  178. 178.

    Inman GJ. Switching TGFβ from a tumor suppressor to a tumor promoter. Curr Opin Genet Dev. 2011;21(1):93-99.

    Not in our library10.1016/j.gde.2010.12.004

  179. 179.

    Xia H, Hui KM. MicroRNAs involved in regulating epithelial-mesenchymal transition and cancer stem cells as molecular targets for cancer therapeutics. Cancer Gene Ther. 2012;19:723-730.

    Not in our library10.1038/cgt.2012.58

  180. 180.

    Liu C, Tang DG. MicroRNA regulation of cancer stem cells. Cancer Res. 2011;71:5950-5954.

    Not in our library10.1158/0008-5472.can-11-1035

  181. 181.

    Vahidian F, Mohammadi H, Ali-Hasanzadeh M, Derakhshani A, Mostaan M, Hemmatzadeh M, et al. MicroRNAs and breast cancer stem cells: potential role in breast cancer therapy. J Cell Physiol. 2019;234:3294-3306.

    Not in our library10.1002/jcp.27246

  182. 182.

    Macharia LW, Wanjiru CM, Mureithi MW, Pereira CM, Ferrer VP, Moura-Neto V. MicroRNAs, hypoxia and the stem-like state as contributors to cancer aggressiveness. Front Genet. 2019;10:1-19.

    Not in our library10.3389/fgene.2019.00125

  183. 183.

    Cha SY, Choi Y, Hwang S, Jeong JY, An HJ. Clinical impact of microRNAs associated with cancer stem cells as a prognostic factor in ovarian carcinoma. J Cancer. 2017;8(17):3538-3547.

    Not in our library10.7150/jca.20348

  184. 184.

    Bano N, Yadav M, Mohania D, Das BC. The role of NF-κB and miRNA in oral cancer and cancer stem cells with or without HPV16 infection. PLoS ONE. 2018;13:e0205518.

    Not in our library10.1371/journal.pone.0205518

  185. 185.

    He XH, Zhu W, Yuan P, Jiang S, Li D, Zhang HW, et al. MiR-155 downregulates ErbB2 and suppresses ErbB2-induced malignant transformation of breast epithelial cells. Oncogene. 2016;35:6015-6025.

    Not in our library10.1038/onc.2016.132

  186. 186.

    Jang MH, Kim HJ, Gwak JM, Chung YR, Park SY. Prognostic value of microRNA-9 and microRNA-155 expression in triple-negative breast cancer. Hum Pathol. 2017;68:69-78.

    Not in our library10.1016/j.humpath.2017.08.026

  187. 187.

    Liu Y, Cao X. Characteristics and significance of the pre-metastatic niche. Cancer Cell. 2016;30(5):668-681.

    Not in our library10.1016/j.ccell.2016.09.011

  188. 188.

    Hernández-Camarero P, Jiménez G, López-Ruiz E, Barungi S, Marchal JA, Perán M. Revisiting the dynamic cancer stem cell model: Importance of tumour edges. Crit Rev Oncol Hematol. 2018;131:35-45.

    Not in our library10.1016/j.critrevonc.2018.08.004

  189. 189.

    Li R, Qi Y, Jiang M, Zhang T, Wang H, Wang L, et al. Primary tumor-secreted VEGF induces vascular hyperpermeability in premetastatic lung via the occludin phosphorylation/ubiquitination pathway. Mol Carcinog. 2019;58:2316-2326.

    Not in our library10.1002/mc.23120

  190. 190.

    Hiratsuka S, Nakamura K, Iwai S, Murakami M, Itoh T, Kijima H, et al. MMP9 induction by vascular endothelial growth factor receptor-1 is involved in lung-specific metastasis. Cancer Cell. 2002;2:289-300.

    Not in our library10.1016/s1535-6108(02)00153-8

  191. 191.

    Li R, Yuan B, Zhang Y, Dai J, Zhang P, Fang F, et al. Vascular endothelial growth factor secreted by breast cancer cells plays a critical role in the formation of pre-metastatic niche in the mouse lung. Zhonghua Zhong Liu Za Zhi. 2016;38:17-22.

    Not in our library10.3760/cma.j.issn.0253-3766.2016.01.004

  192. 192.

    Kaplan RN, Riba RD, Zacharoulis S, Bramley AH, Vincent L, Costa C, et al. VEGFR1-positive haematopoietic bone marrow progenitors initiate the pre-metastatic niche. Nature. 2005;438:820-827.

    Not in our library10.1038/nature04186

  193. 193.

    Yan HH, Jiang J, Pang Y, Achyut BR, Lizardo M, Liang X, et al. CCL9 induced by TGFβ signaling in myeloid cells enhances tumor cell survival in the premetastatic organ. Cancer Res. 2015;75:5283-5298.

    Not in our library10.1158/0008-5472.can-15-2282-t

  194. 194.

    Hiratsuka S, Watanabe A, Aburatani H, Maru Y. Tumour-mediated upregulation of chemoattractants and recruitment of myeloid cells predetermines lung metastasis. Nat Cell Biol. 2006;8:1369-1375.

    Not in our library10.1038/ncb1507

  195. 195.

    Cojoc M, Peitzsch C, Trautmann F, Polishchuk L, Telegeev GD, Dubrovska A. Emerging targets in cancer management: role of the CXCL12/CXCR4 axis. Onco Targets Ther. 2013;6:1347-1361.

    Not in our library10.2147/ott.s36109

  196. 196.

    Domanska UM, Kruizinga RC, Nagengast WB, Timmer-Bosscha H, Huls G, De Vries EGE, et al. A review on CXCR4/CXCL12 axis in oncology: no place to hide. Eur J Cancer. 2013;49:219-230.

    Not in our library10.1016/j.ejca.2012.05.005

  197. 197.

    Duan W, Qian W, Zhou C, Cao J, Qin T, Xiao Y, et al. Metformin suppresses the invasive ability of pancreatic cancer cells by blocking autocrine TGF-ß1 signaling. Oncol Rep. 2018;40:1495-1502.

    Not in our library10.3892/or.2018.6518

  198. 198.

    Roato I, Ferracini R. Cancer stem cells, bone and tumor microenvironment: key players in bone metastases. Cancers (Basel). 2018;10(2):56.

    Not in our library10.3390/cancers10020056

  199. 199.

    Es-haghi M, Soltanian S, Dehghani H. Perspective: Cooperation of Nanog, NF-κΒ, and CXCR4 in a regulatory network for directed migration of cancer stem cells. Tumor Biol. 2016;37(2):1559-1565.

    Not in our library10.1007/s13277-015-4690-6

  200. 200.

    Sceneay J, Chow MT, Chen A, Halse HM, Wong CSF, Andrews DM, et al. Primary tumor hypoxia recruits CD11b+/Ly6Cmed/Ly6G+ immune suppressor cells and compromises NK cell cytotoxicity in the premetastatic niche. Cancer Res. 2012;72:3906-3911.

    Not in our library10.1158/0008-5472.can-11-3873

  201. 201.

    Deep G, Jain A, Kumar A, Agarwal C, Kim S, Leevy WM, et al. Exosomes secreted by prostate cancer cells under hypoxia promote matrix metalloproteinases activity at pre-metastatic niches. Mol Carcinog. 2020;59:323-332.

    Not in our library10.1002/mc.23157

  202. 202.

    Yu Z, Zhao S, Ren L, Wang L, Chen Z, Hoffman RM, et al. Pancreatic cancer-derived exosomes promote tumor metastasis and liver pre-metastatic niche formation. Oncotarget. 2017;8:63461-63483.

    Not in our library10.18632/oncotarget.18831

  203. 203.
  204. 204.

    Costa-Silva B, Aiello NM, Ocean AJ, Singh S, Zhang H, Thakur BK, et al. Pancreatic cancer exosomes initiate pre-metastatic niche formation in the liver. Nat Cell Biol. 2015;17:816-826.

    Not in our library10.1038/ncb3169

  205. 205.

    Medeiros B, Goodale D, Postenka C, Lowes LE, Kiser P, Hearn S, et al. Triple-negative primary breast tumors induce supportive premetastatic changes in the extracellular matrix and soluble components of the lung microenvironment. Cancers (Basel). 2020;12(1):172.

    Not in our library10.3390/cancers12010172

  206. 206.

    DeGorter MK, Xia CQ, Yang JJ, Kim RB. Drug transporters in drug efficacy and toxicity. Annu Rev Pharmacol Toxicol. 2012;52:249-273.

    Not in our library10.1146/annurev-pharmtox-010611-134529

  207. 207.

    Ginestier C, Hur MH, Charafe-Jauffret E, Monville F, Dutcher J, Brown M, et al. ALDH1 is a marker of normal and malignant human mammary stem cells and a predictor of poor clinical outcome. Cell Stem Cell. 2007;1:555-567.

    Not in our library10.1016/j.stem.2007.08.014

  208. 208.
  209. 209.

    Raha D, Wilson TR, Peng J, Peterson D, Yue P, Evangelista M, et al. The cancer stem cell marker aldehyde dehydrogenase is required to maintain a drug-tolerant tumor cell subpopulation. Cancer Res. 2014;74:3579-3590.

    Not in our library10.1158/0008-5472.can-13-3456

  210. 210.

    Murakami A, Takahashi F, Nurwidya F, Kobayashi I, Minakata K, Hashimoto M, et al. Hypoxia increases gefitinib-resistant lung cancer stem cells through the activation of insulin-like growth factor 1 receptor. PLoS ONE. 2014;9:e86459.

    Not in our library10.1371/journal.pone.0086459

  211. 211.

    Nurwidya F, Andarini S, Takahashi F, Syahruddin E, Takahashi K. Implications of insulin-like growth factor 1 receptor activation in lung cancer. Malays J Med Sci. 2016;23(3):9-21.

    Not in our library

  212. 212.

    Stassi G, Todaro M, Zerilli M, Ricci-Vitiani L, Di Liberto D, Patti M, et al. Thyroid cancer resistance to chemotherapeutic drugs via autocrine production of interleukin-4 and interleukin-10. Cancer Res. 2003;63:6784-6790.

    Not in our library

  213. 213.

    Conticello C, Pedini F, Zeuner A, Patti M, Zerilli M, Stassi G, et al. IL-4 protects tumor cells from anti-CD95 and chemotherapeutic agents via up-regulation of antiapoptotic proteins. J Immunol. 2004;172:5467-5477.

    Not in our library10.4049/jimmunol.172.9.5467

  214. 214.

    Hartman ZC, Yang XY, Glass O, Lei G, Osada T, Dave SS, et al. HER2 overexpression elicits a proinflammatory IL-6 autocrine signaling loop that is critical for tumorigenesis. Cancer Res. 2011;71:4380-4391.

    Not in our library10.1158/0008-5472.can-11-0308

  215. 215.

    Korkaya H, Kim GI, Davis A, Malik F, Henry NL, Ithimakin S, et al. Activation of an IL6 inflammatory loop mediates trastuzumab resistance in HER2+ breast cancer by expanding the cancer stem cell population. Mol Cell. 2012;47:570-584.

    Not in our library10.1016/j.molcel.2012.06.014

  216. 216.

    Bhola NE, Balko JM, Dugger TC, Kuba MG, Sánchez V, Sanders M, et al. TGF-β inhibition enhances chemotherapy action against triple-negative breast cancer. J Clin Invest. 2013;123:1348-1358.

    Not in our library10.1172/jci65416

  217. 217.

    Zeng Z, Samudio IJ, Munsell M, An J, Huang Z, Estey E, et al. Inhibition of CXCR4 with the novel RCP168 peptide overcomes stroma-mediated chemoresistance in chronic and acute leukemias. Mol Cancer Ther. 2006;5:3113-3121.

    Not in our library10.1158/1535-7163.mct-06-0228

  218. 218.

    Barbieri F, Bajetto A, Stumm R, Pattarozzi A, Porcile C, Zona G, et al. Overexpression of stromal cell—derived factor 1 and its receptor CXCR4 induces autocrine/paracrine cell proliferation in human pituitary adenomas. Clin Cancer Res. 2008;14:5022-5032.

    Not in our library10.1158/1078-0432.ccr-07-4717

  219. 219.

    Azab AK, Runnels JM, Pitsillides C, Moreau AS, Azab F, Leleu X, et al. CXCR4 inhibitor AMD3100 disrupts the interaction of multiple myeloma cells with the bone marrow microenvironment and enhances their sensitivity to therapy. Blood. 2009;113:4341-4351.

    Not in our library10.1182/blood-2008-10-186668

  220. 220.

    Xue LJ, Mao XB, Ren LL, Chu XY. Inhibition of CXCL12/CXCR4 axis as a potential targeted therapy of advanced gastric carcinoma. Cancer Med. 2017;6(6):1424-1436.

    Not in our library10.1002/cam4.1085

  221. 221.

    Yamashina T, Baghdadi M, Yoneda A, Kinoshita I, Suzu S, Dosaka-Akita H, et al. Cancer stem-like cells derived from chemoresistant tumors have a unique capacity to prime tumorigenic myeloid cells. Cancer Res. 2014;74:2698-2709.

    Not in our library10.1158/0008-5472.can-13-2169

  222. 222.
  223. 223.

    Shibue T, Weinberg RA. EMT, CSCs, and drug resistance: the mechanistic link and clinical implications. Nat Rev Clin Oncol. 2017;14(10):611-629.

    Not in our library10.1038/nrclinonc.2017.44

  224. 224.

    Li J, Liu H, Yu J, Yu H. Chemoresistance to doxorubicin induces epithelial-mesenchymal transition via upregulation of transforming growth factor β signaling in HCT116 colon cancer cells. Mol Med Rep. 2015;12:192-198.

    Not in our library10.3892/mmr.2015.3356

  225. 225.
  226. 226.

    Zhang Y, Lu Y, Zhang C, Huang D, Wu W, Zhang Y, et al. FSCN-1 increases doxorubicin resistance in hepatocellular carcinoma through promotion of epithelial-mesenchymal transition. Int J Oncol. 2018;52:1455-1464.

    Not in our library10.3892/ijo.2018.4327

  227. 227.

    Saxena M, Stephens MA, Pathak H, Rangarajan A. Transcription factors that mediate epithelial-mesenchymal transition lead to multidrug resistance by upregulating ABC transporters. Cell Death Dis. 2011;2:e179.

    Not in our library10.1038/cddis.2011.61

  228. 228.

    Oliveras-Ferraros C, Corominas-Faja B, Vazquez-Martin SCA, Martin-Castillo B, Iglesias JM, López-Bonet E, et al. Epithelial-to-mesenchymal transition (EMT) confers primary resistance to trastuzumab (Herceptin). Cell Cycle. 2012;11:4020-4032.

    Not in our library10.4161/cc.22225

  229. 229.

    Burnett JP, Korkaya H, Ouzounova MD, Jiang H, Conley SJ, Newman BW, et al. Trastuzumab resistance induces EMT to transform HER2 + PTEN’ to a triple negative breast cancer that requires unique treatment options. Sci Rep. 2015;5:1-13.

    Not in our library10.1038/srep15821

  230. 230.

    Han ML, Zhao YF, Tan CH, Xiong YJ, Wang WJ, Wu F, et al. Cathepsin L upregulation-induced EMT phenotype is associated with the acquisition of cisplatin or paclitaxel resistance in A549 cells. Acta Pharmacol Sin. 2016;37:1606-1622.

    Not in our library10.1038/aps.2016.93

  231. 231.

    Jiang GB, Fang HY, Tao DY, Chen XP, Cao FL. COX-2 potentiates cisplatin resistance of non-small cell lung cancer cells by promoting EMT in an AKT signaling pathway-dependent manner. Eur Rev Med Pharmacol Sci. 2019;23:3838-3846.

    Not in our library10.26355/eurrev_201905_17811

  232. 232.

    Quagliano A, Gopalakrishnapillai A, Barwe SP. Understanding the mechanisms by which epigenetic modifiers avert therapy resistance in cancer. Front Oncol. 2020;10:992.

    Not in our library10.3389/fonc.2020.00992

  233. 233.

    Di Martino S, Amoreo CA, Nuvoli B, Galati R, Strano S, Facciolo F, et al. HSP90 inhibition alters the chemotherapy-driven rearrangement of the oncogenic secretome. Oncogene. 2018;37:1369-1385.

    Not in our library10.1038/s41388-017-0044-8

  234. 234.

    Capaci V, Bascetta L, Fantuz M, Beznoussenko GV, Sommaggio R, Cancila V, et al. Mutant p53 induces Golgi tubulo-vesiculation driving a prometastatic secretome. Nat Commun. 2020;11:1-19.

    Not in our library10.1038/s41467-020-17596-5

  235. 235.

    Butera G, Brandi J, Cavallini C, Scarpa A, Lawlor RT, Scupoli MT, et al. The mutant P53-driven secretome has oncogenic functions in pancreatic ductal adenocarcinoma cells. Biomolecules. 2020;10:1-21.

    Not in our library10.3390/biom10060884

  236. 236.

    Madden EC, Gorman AM, Logue SE, Samali A. Tumour cell secretome in chemoresistance and tumour recurrence. Trends Cancer. 2020;6(6):489-505.

    Not in our library10.1016/j.trecan.2020.02.020

  237. 237.

    Olivares-Urbano MA, Griñán-Lisón C, Ríos-Arrabal S, Artacho-Cordón F, Torralbo AI, López-Ruiz E, et al. Radiation and stemness phenotype may influence individual breast cancer outcomes: the crucial role of mmps and microenvironment. Cancers (Basel). 2019;11(11):1781.

    Not in our library10.3390/cancers11111781

  238. 238.

    Kerbel RS. Tumor angiogenesis. N Engl J Med. 2008;358(19):2039-2049.

    Not in our library10.1056/nejmra0706596

  239. 239.

    Jain RK, Duda DG, Willett CG, Sahani DV, Zhu AX, Loeffler JS, et al. Biomarkers of response and resistance to antiangiogenic therapy. Nat Rev Clin Oncol. 2009;6(6):327-338.

    Not in our library10.1038/nrclinonc.2009.63

  240. 240.

    Bergers G, Hanahan D. Modes of resistance to anti-angiogenic therapy. Nat Rev Cancer. 2008;8(8):592-603.

    Not in our library10.1038/nrc2442

  241. 241.

    Bertolini F, Marighetti P, Martin-Padura I, Mancuso P, Hu-Lowe DD, Shaked Y, et al. Anti-VEGF and beyond: shaping a new generation of anti-angiogenic therapies for cancer. Drug Discov Today. 2011;16(23–24):1052-1060.

    Not in our library10.1016/j.drudis.2011.08.007

  242. 242.

    Conley SJ, Gheordunescu E, Kakarala P, Newman B, Korkaya H, Heath AN, et al. Antiangiogenic agents increase breast cancer stem cells via the generation of tumor hypoxia. Proc Natl Acad Sci U S A. 2012;109:2784-2789.

    Not in our library10.1073/pnas.1018866109

  243. 243.

    Keunen O, Johansson M, Oudin A, Sanzey M, Rahim SAA, Fack F, et al. Anti-VEGF treatment reduces blood supply and increases tumor cell invasion in glioblastoma. Proc Natl Acad Sci U S A. 2011;108:3749-3754.

    Not in our library10.1073/pnas.1014480108

  244. 244.

    Pàez-Ribes M, Allen E, Hudock J, Takeda T, Okuyama H, Viñals F, et al. Antiangiogenic therapy elicits malignant progression of tumors to increased local invasion and distant metastasis. Cancer Cell. 2009;15:220-231.

    Not in our library10.1016/j.ccr.2009.01.027

  245. 245.

    Casanovas O, Hicklin DJ, Bergers G, Hanahan D. Drug resistance by evasion of antiangiogenic targeting of VEGF signaling in late-stage pancreatic islet tumors. Cancer Cell. 2005;8:299-309.

    Not in our library10.1016/j.ccr.2005.09.005

  246. 246.

    Folkins C, Man S, Xu P, Shaked Y, Hicklin DJ, Kerbel RS. Anticancer therapies combining antiangiogenic and tumor cell cytotoxic effects reduce the tumor stem-like cell fraction in glioma xenograft tumors. Cancer Res. 2007;67:3560-3564.

    Not in our library10.1158/0008-5472.can-06-4238

  247. 247.

    Barone A, Sengupta R, Warrington NM, Smith E, Wen PY, Brekken RA, et al. Combined VEGF and CXCR4 antagonism targets the GBM stem cell population and synergistically improves survival in an intracranial mouse model of glioblastoma. Oncotarget. 2014;5:9811-9822.

    Not in our library10.18632/oncotarget.2443

  248. 248.

    Burkitt K, Chun SY, Dang DT, Dang LH. Targeting both HIF-1 and HIF-2 in human colon cancer cells improves tumor response to sunitinib treatment. Mol Cancer Ther. 2009;8:1148-1156.

    Not in our library10.1158/1535-7163.mct-08-0944

  249. 249.

    Wong PP, Demircioglu F, Ghazaly E, Alrawashdeh W, Stratford MRL, Scudamore CL, et al. Dual-action combination therapy enhances angiogenesis while reducing tumor growth and spread. Cancer Cell. 2015;27:123-137.

    Not in our library10.1016/j.ccell.2014.10.015

  250. 250.

    Mitchem JB, Brennan DJ, Knolhoff BL, Belt BA, Zhu Y, Sanford DE, et al. Targeting tumor-infiltrating macrophages decreases tumor-initiating cells, relieves immunosuppression, and improves chemotherapeutic responses. Cancer Res. 2013;73:1128-1141.

    Not in our library10.1158/0008-5472.can-12-2731

  251. 251.

    Fridlender ZG, Buchlis G, Kapoor V, Cheng G, Sun J, Singhal S, et al. CCL2 blockade augments cancer immunotherapy. Cancer Res. 2010;70:109-118.

    Not in our library10.1158/0008-5472.can-09-2326

  252. 252.

    Loberg RD, Ying C, Craig M, Day LL, Sargent E, Neeley C, et al. Targeting CCL2 with systemic delivery of neutralizing antibodies induces prostate cancer tumor regression in vivo. Cancer Res. 2007;67:9417-9424.

    Not in our library10.1158/0008-5472.can-07-1286

  253. 253.

    Bonapace L, Coissieux MM, Wyckoff J, Mertz KD, Varga Z, Junt T, et al. Cessation of CCL2 inhibition accelerates breast cancer metastasis by promoting angiogenesis. Nature. 2014;515:130-133.

    Not in our library10.1038/nature13862

  254. 254.
  255. 255.

    Johnson DE, O’Keefe RA, Grandis JR. Targeting the IL-6/JAK/STAT3 signalling axis in cancer. Nat Rev Clin Oncol. 2018;15(4):234-248.

    Not in our library10.1038/nrclinonc.2018.8

  256. 256.

    Li J, Xu J, Yan X, Jin K, Li W, Zhang R. Targeting Interleukin-6 (IL-6) sensitizes anti-PD-L1 treatment in a colorectal cancer preclinical model. Med Sci Monit. 2018;24:5501-5508.

    Not in our library10.12659/msm.907439

  257. 257.

    Mace TA, Shakya R, Pitarresi JR, Swanson B, McQuinn CW, Loftus S, et al. IL-6 and PD-L1 antibody blockade combination therapy reduces tumour progression in murine models of pancreatic cancer. Gut. 2018;67:320-332.

    Not in our library10.1136/gutjnl-2016-311585

  258. 258.

    Jin K, Pandey NB, Popel AS. Simultaneous blockade of IL-6 and CCL5 signaling for synergistic inhibition of triple-negative breast cancer growth and metastasis. Breast Cancer Res. 2018;20:54.

    Not in our library10.1186/s13058-018-0981-3

  259. 259.

    Drenckhan A, Kurschat N, Dohrmann T, Raabe N, Koenig AM, Reichelt U, et al. Effective inhibition of metastases and primary tumor growth with CTCE-9908 in esophageal cancer. J Surg Res. 2013;182:250-256.

    Not in our library10.1016/j.jss.2012.09.035

  260. 260.

    Huang EH, Singh B, Cristofanilli M, Gelovani J, Wei C, Vincent L, et al. A CXCR4 antagonist CTCE-9908 inhibits primary tumor growth and metastasis of breast cancer1. J Surg Res. 2009;155:231-236.

    Not in our library10.1016/j.jss.2008.06.044

  261. 261.

    Benedicto A, Romayor I, Arteta B. CXCR4 receptor blockage reduces the contribution of tumor and stromal cells to the metastatic growth in the liver. Oncol Rep. 2018;39:2022-2030.

    Not in our library10.3892/or.2018.6254

  262. 262.

    Gravina GL, Mancini A, Marampon F, Colapietro A, Delle Monache S, Sferra R, et al. The brain-penetrating CXCR4 antagonist, PRX177561, increases the antitumor effects of bevacizumab and sunitinib in preclinical models of human glioblastoma. J Hematol Oncol. 2017;10:1-16.

    Not in our library10.1186/s13045-016-0377-8

  263. 263.

    Zhou Y, Cao HB, Li WJ, Zhao L. The CXCL12 (SDF-1)/CXCR4 chemokine axis: oncogenic properties, molecular targeting, and synthetic and natural product CXCR4 inhibitors for cancer therapy. Chin J Nat Med. 2018;16(11):801-810.

    Not in our library10.1016/s1875-5364(18)30122-5

  264. 264.

    Duda DG, Kozin SV, Kirkpatrick ND, Xu L, Fukumura D, Jain RK. CXCL12 (SDF1α)-CXCR4/CXCR7 pathway inhibition: an emerging sensitizer for anticancer therapies? Clin Cancer Res. 2011;17:2074-2080.

    Not in our library10.1158/1078-0432.ccr-10-2636

  265. 265.

    Zhou KX, Xie LH, Peng X, Guo QM, Wu QY, Wang WH, et al. CXCR4 antagonist AMD3100 enhances the response of MDA-MB-231 triple-negative breast cancer cells to ionizing radiation. Cancer Lett. 2018;418:196-203.

    Not in our library10.1016/j.canlet.2018.01.009

  266. 266.

    Richert MM, Vaidya KS, Mills CN, Wong D, Korz W, Hurst DR, et al. Inhibition of CXCR4 by CTCE-9908 inhibits breast cancer metastasis to lung and bone. Oncol Rep. 2009;21:761-767.

    Not in our library

  267. 267.

    Wu A, Maxwell R, Xia Y, Cardarelli P, Oyasu M, Belcaid Z, et al. Combination anti-CXCR4 and anti-PD-1 immunotherapy provides survival benefit in glioblastoma through immune cell modulation of tumor microenvironment. J Neurooncol. 2019;143:241-249.

    Not in our library10.1007/s11060-019-03172-5

  268. 268.

    Porvasnik S, Sakamoto N, Kusmartsev S, Eruslanov E, Kim WJ, Cao W, et al. Effects of CXCR4 antagonist CTCE-9908 on prostate tumor growth. Prostate. 2009;69:1460-1469.

    Not in our library10.1002/pros.21008

  269. 269.

    Fu S, Chen X, Lin HJ, Lin J. Inhibition of interleukin 8/C-X-C chemokine receptor 1,/2 signaling reduces malignant features in human pancreatic cancer cells. Int J Oncol. 2018;53:349-357.

    Not in our library10.3892/ijo.2018.4389

  270. 270.

    Fu S, Lin J. Blocking interleukin-6 and interleukin-8 signaling inhibits cell viability, colony-forming activity, and cell migration in human triple-negative breast cancer and pancreatic cancer cells. Anticancer Res. 2018;38:6271-6279.

    Not in our library10.21873/anticanres.12983

  271. 271.

    Wang J, Hu W, Wang K, Yu J, Luo B, Luo G, et al. Repertaxin, an inhibitor of the chemokine receptors CXCR1 and CXCR2, inhibits malignant behavior of human gastric cancer MKN45 cells in vitro and in vivo and enhances efficacy of 5-fluorouracil. Int J Oncol. 2016;48:1341-1352.

    Not in our library10.3892/ijo.2016.3371

  272. 272.

    Liotti F, De Pizzol M, Allegretti M, Prevete N, Melillo RM. Multiple anti-tumor effects of reparixin on thyroid cancer. Oncotarget. 2017;8:35946-35961.

    Not in our library10.18632/oncotarget.16412

  273. 273.

    Schott AF, Goldstein LJ, Cristofanilli M, Ruffini PA, McCanna S, Reuben JM, et al. Phase Ib pilot study to evaluate reparixin in combination with weekly paclitaxel in patients with HER-2-negative metastatic breast cancer. Clin Cancer Res. 2017;23:5358-5365.

    Not in our library10.1158/1078-0432.ccr-16-2748

  274. 274.

    Leitner JM, Mayr FB, Firbas C, Spiel AO, Steinlechner B, Novellini R, et al. Reparixin, a specific interleukin-8 inhibitor, has no effects on inflammation during endotoxemia. Int J Immunopathol Pharmacol. 2007;20:25-36.

    Not in our library10.1177/039463200702000104

  275. 275.

    Colak S, ten Dijke P. Targeting TGF-β signaling in cancer. Trends Cancer. 2017;3:56-71.

    Not in our library10.1016/j.trecan.2016.11.008

  276. 276.

    Yu Z, Cheng H, Zhu H, Cao M, Lu C, Bao S, et al. Salinomycin enhances doxorubicin sensitivity through reversing the epithelial-mesenchymal transition of cholangiocarcinoma cells by regulating ARK5. Braz J Med Biol Res. 2017;50:e6147.

    Not in our library10.1590/1414-431x20176147

  277. 277.

    Liu L, Wang Q, Mao J, Qin T, Sun Y, Yang J, et al. Salinomycin suppresses cancer cell stemness and attenuates TGF-β-induced epithelial-mesenchymal transition of renal cell carcinoma cells. Chem Biol Interact. 2018;296:145-153.

    Not in our library10.1016/j.cbi.2018.09.018

  278. 278.

    Mao Z, Wu Y, Zhou J, Xing C. Salinomycin reduces epithelial-mesenchymal transition-mediated multidrug resistance by modifying long noncoding RNA HOTTIP expression in gastric cancer cells. Anticancer Drugs. 2019;30:892-899.

    Not in our library10.1097/cad.0000000000000786

  279. 279.

    Li R, Dong T, Hu C, Lu J, Dai J, Liu P. Salinomycin repressed the epithelial–mesenchymal transition of epithelial ovarian cancer cells via downregulating Wnt/β-catenin pathway. Onco Targets Ther. 2017;10:1317-1325.

    Not in our library10.2147/ott.s126463

  280. 280.

    Zhou Y, Liang C, Xue F, Chen W, Zhi X, Feng X, et al. Salinomycin decreases doxorubicin resistance in hepatocellular carcinoma cells by inhibiting the β-catenin/TCF complex association via FOXO3a activation. Oncotarget. 2015;6:10350-10365.

    Not in our library10.18632/oncotarget.3585

  281. 281.

    Zhang C, Lu Y, Li Q, Mao J, Hou Z, Yu X, et al. Salinomycin suppresses TGF-β1-induced epithelial-to-mesenchymal transition in MCF-7 human breast cancer cells. Chem Biol Interact. 2016;248:74-81.

    Not in our library10.1016/j.cbi.2016.02.004

  282. 282.

    Hermawan A, Wagner E, Roidl A. Consecutive salinomycin treatment reduces doxorubicin resistance of breast tumor cells by diminishing drug efflux pump expression and activity. Oncol Rep. 2016;35:1732-1740.

    Not in our library10.3892/or.2015.4509

  283. 283.

    Tong D, Liu Q, Liu G, Xu J, Lan W, Jiang Y, et al. Metformin inhibits castration-induced EMT in prostate cancer by repressing COX2/PGE2/STAT3 axis. Cancer Lett. 2017;389:23-32.

    Not in our library10.1016/j.canlet.2016.12.031

  284. 284.

    Liu Q, Tong D, Liu G, Xu J, Do K, Geary K, et al. Metformin reverses prostate cancer resistance to enzalutamide by targeting TGF-β1/STAT3 axis-regulated EMT. Cell Death Dis. 2017;8:e3007.

    Not in our library10.1038/cddis.2017.417

  285. 285.

    Li L, Han R, Xiao H, Lin C, Wang Y, Liu H, et al. Metformin sensitizes EGFR-TKI-resistant human lung cancer cells in vitro and in vivo through inhibition of IL-6 signaling and EMT reversal. Clin Cancer Res. 2014;20:2714-2726.

    Not in our library10.1158/1078-0432.ccr-13-2613

  286. 286.

    Yin X, Wei Z, Song C, Tang C, Xu W, Wang Y, et al. Metformin sensitizes hypoxia-induced gefitinib treatment resistance of HNSCC via cell cycle regulation and EMT reversal. Cancer Manag Res. 2018;10:5785-5798.

    Not in our library10.2147/cmar.s177473

  287. 287.

    Han B, Cui H, Kang L, Zhang X, Jin Z, Lu L, et al. Metformin inhibits thyroid cancer cell growth, migration, and EMT through the mTOR pathway. Tumor Biol. 2015;36:6295-6304.

    Not in our library10.1007/s13277-015-3315-4

  288. 288.
  289. 289.

    Raoof S, Mulford IJ, Frisco-Cabanos H, Nangia V, Timonina D, Labrot E, et al. Targeting FGFR overcomes EMT-mediated resistance in EGFR mutant non-small cell lung cancer. Oncogene. 2019;38:6399-6413.

    Not in our library10.1038/s41388-019-0887-2

  290. 290.

    Torigoe H, Shien K, Takeda T, Yoshioka T, Namba K, Sato H, et al. Therapeutic strategies for afatinib-resistant lung cancer harboring HER2 alterations. Cancer Sci. 2018;109:1493-1502.

    Not in our library10.1111/cas.13571

  291. 291.

    Yochum ZA, Cades J, Wang H, Chatterjee S, Simons BW, O’Brien JP, et al. Targeting the EMT transcription factor TWIST1 overcomes resistance to EGFR inhibitors in EGFR-mutant non-small-cell lung cancer. Oncogene. 2019;38:656-670.

    Not in our library10.1038/s41388-018-0482-y

  292. 292.

    Sesumi Y, Suda K, Mizuuchi H, Kobayashi Y, Sato K, Chiba M, et al. Effect of dasatinib on EMT-mediated-mechanism of resistance against EGFR inhibitors in lung cancer cells. Lung Cancer. 2017;104:85-90.

    Not in our library10.1016/j.lungcan.2016.12.012

  293. 293.

    Insua-Rodríguez J, Oskarsson T. The extracellular matrix in breast cancer. Adv Drug Deliv Rev. 2016;97:41-55.

    Not in our library10.1016/j.addr.2015.12.017

  294. 294.

    Winer A, Adams S, Mignatti P. Matrix metalloproteinase inhibitors in cancer therapy: turning past failures into future successes. Mol Cancer Ther. 2018;17(6):1147-1155.

    Not in our library10.1158/1535-7163.mct-17-0646

  295. 295.

    Pan A, Wang Z, Chen B, Dai W, Zhang H, He B, et al. Localized co-delivery of collagenase and trastuzumab by thermosensitive hydrogels for enhanced antitumor efficacy in human breast xenograft. Drug Deliv. 2018;25:1495-1503.

    Not in our library10.1080/10717544.2018.1474971

  296. 296.

    Wang X, Luo J, He L, Cheng X, Yan G, Wang J, et al. Hybrid pH-sensitive nanogels surface-functionalized with collagenase for enhanced tumor penetration. J Colloid Interface Sci. 2018;525:269-281.

    Not in our library10.1016/j.jcis.2018.04.084

  297. 297.

    Kolosnjaj-Tabi J, Marangon I, Nicolas-Boluda A, Silva AKA, Gazeau F. Nanoparticle-based hyperthermia, a local treatment modulating the tumor extracellular matrix. Pharmacol Res. 2017;126:123-137.

    Not in our library10.1016/j.phrs.2017.07.010

  298. 298.

    Jacobetz MA, Chan DS, Neesse A, Bapiro TE, Cook N, Frese KK, et al. Hyaluronan impairs vascular function and drug delivery in a mouse model of pancreatic cancer. Gut. 2013;62:112-120.

    Not in our library10.1136/gutjnl-2012-302529

  299. 299.

    Provenzano PP, Cuevas C, Chang AE, Goel VK, Von Hoff DD, Hingorani SR. Enzymatic targeting of the stroma ablates physical barriers to treatment of pancreatic ductal adenocarcinoma. Cancer Cell. 2012;21:418-429.

    Not in our library10.1016/j.ccr.2012.01.007

  300. 300.

    Xu K, Lee F, Gao S, Tan MH, Kurisawa M. Hyaluronidase-incorporated hyaluronic acid-tyramine hydrogels for the sustained release of trastuzumab. J Control Release. 2015;216:47-55.

    Not in our library10.1016/j.jconrel.2015.08.015

  301. 301.

    Diop-Frimpong B, Chauhan VP, Krane S, Boucher Y, Jain RK. Losartan inhibits collagen I synthesis and improves the distribution and efficacy of nanotherapeutics in tumors. Proc Natl Acad Sci U S A. 2011;108:2909-2914.

    Not in our library10.1073/pnas.1018892108

  302. 302.

    Nagase H, Kudo D, Suto A, Yoshida E, Suto S, Negishi M, et al. 4-methylumbelliferone suppresses hyaluronan synthesis and tumor progression in SCID mice intra-abdominally inoculated with pancreatic cancer cells. Pancreas. 2017;46:190-197.

    Not in our library10.1097/mpa.0000000000000741

  303. 303.

    Yoshida E, Kudo D, Nagase H, Suto A, Shimoda H, Suto S, et al. 4-Methylumbelliferone decreases the hyaluronan-rich extracellular matrix and increases the effectiveness of 5-fluorouracil. Anticancer Res. 2018;38:5799-5804.

    Not in our library10.21873/anticanres.12919

  304. 304.

    Lokman NA, Price ZK, Hawkins EK, Macpherson AM, Oehler MK, Ricciardelli C. 4-methylumbelliferone inhibits cancer stem cell activation and overcomes chemoresistance in ovarian cancer. Cancers (Basel). 2019;11(8):1187.

    Not in our library10.3390/cancers11081187

  305. 305.

    Cheng XB, Sato N, Kohi S, Koga A, Hirata K. 4-methylumbelliferone inhibits enhanced hyaluronan synthesis and cell migration in pancreatic cancer cells in response to tumor-stromal interactions. Oncol Lett. 2018;15:6297-6301.

    Not in our library10.3892/ol.2018.8147

  306. 306.

    Hecht JR, Benson AB, Vyushkov D, Yang Y, Bendell J, Verma U. A phase II, randomized, double-blind, placebo-controlled study of simtuzumab in combination with FOLFIRI for the second-line treatment of metastatic KRAS mutant colorectal adenocarcinoma. Oncologist. 2017;22:243.

    Not in our library10.1634/theoncologist.2016-0479

  307. 307.

    Benson AB, Wainberg ZA, Hecht JR, Vyushkov D, Dong H, Bendell J, et al. A phase II randomized, double-blind, placebo-controlled study of simtuzumab or placebo in combination with gemcitabine for the first-line treatment of pancreatic adenocarcinoma. Oncologist. 2017;22:241.

    Not in our library10.1634/theoncologist.2017-0024

  308. 308.

    Bommareddy PK, Patel A, Hossain S, Kaufman HL. Talimogene laherparepvec (T-VEC) and other oncolytic viruses for the treatment of melanoma. Am J Clin Dermatol. 2017;18(1):1-15.

    Not in our library10.1007/s40257-016-0238-9

  309. 309.

    Pal SK, Moreira D, Won H, White SW, Duttagupta P, Lucia M, et al. Reduced T-cell numbers and elevated levels of immunomodulatory cytokines in metastatic prostate cancer patients de novo resistant to abiraterone and/or enzalutamide therapy. Int J Mol Sci. 2019;20(8):1831.

    Not in our library10.3390/ijms20081831

  310. 310.

    Brandi J, Pozza ED, Dando I, Biondani G, Robotti E, Jenkins R, et al. Secretome protein signature of human pancreatic cancer stem-like cells. J Proteomics. 2016;136:1-12.

    Not in our library10.1016/j.jprot.2016.01.017

  311. 311.

    Huang H, Li Y, Liu J, Zheng M, Feng Y, Hu K, et al. Screening and identification of biomarkers in ascites related to intrinsic chemoresistance of serous epithelial ovarian cancers. PLoS ONE. 2012;7:51256.

    Not in our library10.1371/journal.pone.0051256

  312. 312.

    Tye SL, Gilg AG, Tolliver LB, Wheeler WG, Toole BB, Maria BL. Hyaluronan regulates ceruloplasmin production by gliomas and their treatment-resistant multipotent progenitors. J Child Neurol. 2008;23(10):1221-1230.

    Not in our library10.1177/0883073808321066

  313. 313.

    Mazel M, Jacot W, Pantel K, Bartkowiak K, Topart D, Cayrefourcq L, et al. Frequent expression of PD-L1 on circulating breast cancer cells. Mol Oncol. 2015;9:1773-1782.

    Not in our library10.1016/j.molonc.2015.05.009

  314. 314.

    Hegde PS, Wallin JJ, Mancao C. Predictive markers of anti-VEGF and emerging role of angiogenesis inhibitors as immunotherapeutics. Semin Cancer Biol. 2018;52(Pt 2):117-124.

    Not in our library10.1016/j.semcancer.2017.12.002

  315. 315.

    Sharma T, Dhingra R, Singh S, Sharma S, Tomar P, Malhotra M, et al. Aflibercept: a novel VEGF targeted agent to explore the future perspectives of anti-angiogenic therapy for the treatment of multiple tumors. Mini-Rev Med Chem. 2013;13:530-540.

    Not in our library10.2174/1389557511313040006

  316. 316.

    Bukowski RM, Yasothan U, Kirkpatrick P. Pazopanib. Nat Rev Drug Discov. 2010;9(1):17-18.

    Not in our library10.1038/nrd3073

  317. 317.

    Geel RMJM, Beijnen JH, Schellens JHM. Concise drug review: pazopanib and axitinib. Oncologist. 2012;17:1081-1089.

    Not in our library10.1634/theoncologist.2012-0055

  318. 318.

    Abdelaziz A, Vaishampayan U. Cabozantinib for renal cell carcinoma: current and future paradigms. Curr Treat Opt Oncol. 2017;18(3):18.

    Not in our library10.1007/s11864-017-0444-6

  319. 319.

    Nagano T, Tachihara M, Nishimura Y. Dacomitinib, a second-generation irreversible epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) to treat non-small cell lung cancer. Drugs Today. 2019;55:231-236.

    Not in our library10.1358/dot.2019.55.4.2965337

  320. 320.

    Montazeri K, Bellmunt J. Erdafitinib for the treatment of metastatic bladder cancer. Expert Rev Clin Pharmacol. 2020;13:1-6.

    Not in our library10.1080/17512433.2020.1702025

  321. 321.

    Erdafitinib MA. First Global Approval. Drugs. 2019;79:1017-1021.

    Not in our library10.1007/s40265-019-01142-9

  322. 322.

    Roskoski R. Small molecule inhibitors targeting the EGFR/ErbB family of protein-tyrosine kinases in human cancers. Pharmacol Res. 2019;139:395-411.

    Not in our library10.1016/j.phrs.2018.11.014

  323. 323.

    Cabanillas ME, Habra MA. Lenvatinib: role in thyroid cancer and other solid tumors. Cancer Treat Rev. 2016;42:47-55.

    Not in our library10.1016/j.ctrv.2015.11.003

  324. 324.

    Afifi S, Mohamed S, Zhao J, Foss F. A drug safety evaluation of mogamulizumab for the treatment of cutaneous T-cell lymphoma. Expert Opin Drug Saf. 2019;18:769-776.

    Not in our library10.1080/14740338.2019.1643837

  325. 325.

    Giusti RM, Cohen MH, Keegan P, Pazdur R. FDA review of a panitumumab (VectibixTM) clinical trial for first-line treatment of metastatic colorectal cancer. Oncologist. 2009;14:284-290.

    Not in our library10.1634/theoncologist.2008-0254

  326. 326.

    Vennepureddy A, Singh P, Rastogi R, Atallah JP, Terjanian T. Evolution of ramucirumab in the treatment of cancer—a review of literature. J Oncol Pharm. 2017;23(7):525-539.

    Not in our library10.1177/1078155216655474

  327. 327.

    Ettrich TJ, Seufferlein T. Regorafenib. Recent Res Cancer Res. 2018;211:45-56.

    Not in our library10.1007/978-3-319-91442-8_3

  328. 328.

    Sim MW, Cohen MS. The discovery and development of vandetanib for the treatment of thyroid cancer. Expert Opin Drug Discov. 2014;9(1):105-114.

    Not in our library10.1517/17460441.2014.866942

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