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Therapeutic targets and biomarkers of tumor immunotherapy: response versus non-response

Dong-Rui Wang, Xian-Lin Wu, Ying-Li Sun

Signal Transduction and Targeted Therapy · 2022 · Review · CC BY

doi:10.1038/s41392-022-01136-2

Abstract

Cancers are highly complex diseases that are characterized by not only the overgrowth of malignant cells but also an altered immune response. The inhibition and reprogramming of the immune system play critical roles in tumor initiation and progression. Immunotherapy aims to reactivate antitumor immune cells and overcome the immune escape mechanisms of tumors. Represented by immune checkpoint blockade and adoptive cell transfer, tumor immunotherapy has seen tremendous success in the clinic, with the capability to induce long-term regression of some tumors that are refractory to all other treatments. Among them, immune checkpoint blocking therapy, represented by PD-1/PD-L1 inhibitors (nivolumab) and CTLA-4 inhibitors (ipilimumab), has shown encouraging therapeutic effects in the treatment of various malignant tumors, such as non-small cell lung cancer (NSCLC) and melanoma. In addition, with the advent of CAR-T, CAR-M and other novel immunotherapy methods, immunotherapy has entered a new era. At present, evidence indicates that the combination of multiple immunotherapy methods may be one way to improve the therapeutic effect. However, the overall clinical response rate of tumor immunotherapy still needs improvement, which warrants the development of novel therapeutic designs as well as the discovery of biomarkers that can guide the prescription of these agents. Learning from the past success and failure of both clinical and basic research is critical for the rational design of studies in the future. In this article, we describe the efforts to manipulate the immune system against cancer and discuss different targets and cell types that can be exploited to promote the antitumor immune response.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 17, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction: The history of tumor immunotherapy

In 1891, William B Coley, an orthopedic surgeon at New York Memorial Hospital in the United States, injected bacteria into tumors to treat cancer., There were few developments in the use of tumor immunotherapy until specific immune cells and immune-regulating molecules were identified. In 1974, interleukin (IL)-2 was discovered to play an essential role in T-cell differentiation and growth, and its utilization on cancer patients by Steven Rosenberg and his team was a milestone of tumor immunotherapy in the modern era,– which also led to many approaches in the 1980s involving the application of cytokines for stimulating immune responses in patients with cancer., However, direct application of cytokines to patients can result in significant side effects,– which warrants the discovery of specific immune cells that mediate the antitumor response and can be precisely targeted.

Activation of T cells is a key event in both antiviral and antitumor adaptive immunity, which is mainly accomplished through dual signaling pathways. The first signal is an antigen-specific signal, which involves the specific binding of the T-cell surface receptor (TCR) to the antigenic peptide-major histocompatibility complex (MHC)., The second signal is mediated by the communication of T cells with costimulatory molecules (CMs) on the surface of antigen-presenting cells (APCs). These “primed” T cells can produce perforin and granzyme, which lyse target cells, and can secrete cytokines and induce target cell apoptosis through the combination Fas-FasL interaction. Blocking the activation of T cells against malignant cells in cancer patients has been the central problem for tumor immunology research.–

After the identification of T-cell receptors (TCRs) that are responsible for antigen recognition,, in 1986, scientists discovered the molecule CD28 expressed on activated T cells. Subsequently, it was found that T-cell activation requires both signals from the TCR and CD28, and CD28 was thereafter named a “costimulatory molecule”.– Around the same time, Pierre Golstain’s team discovered a protein with a similar structure to CD28; it was named cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) and hypothesized to be a potential T-cell activating molecule., The concept that CTLA-4 is a positive immune regulator was also shown in other studies but was later challenged by the teams of James Allison and Jeffery Bluestone, who independently discovered that blocking CTLA-4 enhanced the T-cell immune response., Consistently, disrupting the CTLA-4 gene was lethal in mice due to excessive immune activation, supporting the immunosuppressive function of CTLA-4., This discovery paved the way for Allison’s team to test whether blocking CTLA-4 can potentiate antitumor immunity and inhibit the growth of immunosuppressive tumors. At the end of 1994, Allison’s team developed an antagonistic CTLA-4 antibody to be evaluated in tumor-bearing mice and later reported the ground-breaking discovery that blocking CTLA-4 can increase the antitumor activity of T cells and inhibit tumor growth. Therefore, for the first time, it was demonstrated that inhibiting a negative immune regulator could suppress tumor progression; this approach was later named “immune checkpoint blockade” (ICB) by Allison. In 1997, Allison’s team suggested that both inducing T-cell costimulatory signals and reducing inhibitory signals can be potential approaches for cancer immunotherapy. In 2011, ipilimumab, the first antibody targeting CTLA-4, was approved for melanoma treatment and became the first immune checkpoint (IC) inhibitor.,

More than 20 years ago, the research group of Tasuku Honjo at Kyoto University discovered programmed cell death protein 1 (PD-1). PD-1 knockout led to autoimmune disease and abnormally activated immune cells in mice, suggesting its immune-suppressive role. In 1999, the research group of Lieping Chen at the Mayo Clinic discovered a molecule named B7-H1, which was later found to be expressed on tumor tissues such as melanoma and lung cancer and can promote the apoptosis of tumor-specific T cells, making them unable to attack cancer cells. In 2000, B7-H1 was identified as a ligand of PD-1, therefore acquiring its second name PD-L1. In 2002, PD-L2 was discovered, and the signaling pathway involving PD-1 was clarified., These discoveries demonstrated that PD-1 is another IC. Indeed, PD-1/L1 inhibitors are the most widely applied immunotherapy type to date, with 6 drugs that have been approved in the United States. In China, 4 PD-1 inhibitors have been approved for commercialization. The approved PD-1 inhibitors and PD-L1 inhibitors have changed the paradigm of cancer therapy.–

The concept of cellular immunotherapy arose from the observation of graft-versus-leukemia effects in allogeneic bone marrow transplantation. To support in vivo maintenance and tumor recognition, cell engineering technologies were integrated with adoptive transfer. The first chimeric antigen receptor (CAR) was generated in 1989 by the Zelig Eshhar group in Israel. These “first-generation” CARs are the variable regions of antibodies fused to the TCR signaling domain, which mediates T-cell activation against the targeted antigen but has shown limited in vivo expansion. In 2002, the Michel Sadelain group incorporated the costimulatory domain into the CAR construct. The resulting “second-generation” CARs have seen extraordinary clinical responses against malignancies of the B-cell lineages, including B-cell chronic lymphocytic leukemia (B-CLL) and B-cell acute lymphocytic leukemia (B-ALL). On 30 August 2017, the US FDA approved the first CAR-T product, Kymriah from Novartis, for the treatment of relapsed or refractory patients under the age of 25 with acute B-cell lymphoblastic leukemia (B-ALL). The commercialization of CAR-T-cell therapy soon followed with the approval of six other products targeting leukemia, lymphoma, and multiple myeloma. At present, ~1000 registered clinical studies are ongoing to evaluate CAR-T-cell immunotherapy against leukemia, lymphoma, melanoma, glioma and other malignant tumors.–

We summarized the major milestone breakthroughs in cancer immunotherapy over time (Fig. 1).

Antibodies against CTLA-4 and PD-1, as well as CAR-T-cell therapy, represent promising approaches in which certain components of the immune system can be manipulated to reverse suppression and target tumors. However, not all patients respond to these therapies, indicating the complexity of tumor-induced immune alteration. In 2006, the concept of “cancer immunoediting” was introduced by Dr. Robert Schreiber, describing how malignant cells can respond to initial immune recognition and subsequently develop escape mechanisms and even “reprogram” the immune system to become protumorigenic., Such an immunoediting process can occur almost every time intratumoral or systemic immune cells are present, resulting in a highly suppressive tumor microenvironment (TME). The search for a synergistic approach for activating antitumor T-cell responses and targeting the suppressive TME has been the main focus of research in tumor immunotherapy.

New targets and drug candidates have been emerging for cancer immunotherapy, but most are still in the very early stage of development. Unfortunately, clinical studies have revealed that quite a few of these candidates may not exert satisfactory outcomes as monotherapies. In this article, we will discuss different strategies for cancer immunotherapy, including IC- and stimulatory molecule-targeted agents, cellular immunotherapy, and suppressive TME-targeting strategies. Furthermore, as ICB and CAR-T cells have been the most rigorously evaluated immunotherapy strategies in the clinic, we will also discuss biomarkers associated with the clinical efficacy of these two types of treatment.

ICs on T cells

ICB has revolutionized the field of cancer therapy and has become one of the most valuable methods in the treatment of many late-stage cancers.– ICs are a class of immunosuppressive molecules that are expressed on immune cells and can suppress immune cell activation, therefore playing a key role in autoimmunity prevention (Fig. 2).– In contrast, overexpression of ICs suppresses immune function and contributes to tumorigenesis.– ICB therapy, therefore, inhibits tumor growth by blocking ICs and potentiating antitumor T-cell activity.– The development of ICB was initiated by targeting two IC pathways, PD-1/PD-L1 and CTLA-4/B7-1/2,– the blocking of which has made remarkable clinical progress, especially against non-small cell lung cancer, colon cancer, melanoma, and renal cell carcinoma.– However, only 20–30% of patients achieve long-term survival following these ICB treatments, and one of the underlying mechanisms is the expression of other inhibitory molecules. Therefore, the continuous identification of new IC targets and the development of their corresponding ICBs have become critical. To date, several other IC molecules on T cells that mediate inhibitory signals through different mechanisms have been identified, with the potential to be exploited as targets for cancer immunotherapy.

One of the key processes involved in cancer development is that cancer cells acquire immune escape by inducing and recruiting immunosuppressive cells, such as Treg cells, bone marrow-derived suppressor cells, and tumor-associated macrophages, as well as increasing the expression of various immunosuppressive molecules, such as PD-1 and PD-L1 (PD-L1). Blocking these immunosuppressive mechanisms can restore the underlying antitumor immune response. Cancer immunotherapy requires ICB, such as CTLA-4 and monoclonal antibodies against PD-1 or PD-L1, which restore the function of cytotoxic effector CD8+ T cells and kill cancer cells, leading to tumor suppression and a paradigm shift in cancer treatment for many cancer types. However, since more than half of treated patients do not respond to ICB even in combination with other therapies, the identification of biomarkers that predict clinical efficacy is an urgent issue.

PD-1

PD-1 was found to inhibit the function of T lymphocytes, which is critical in controlling the autoimmune response.– PD-L1 (initially identified as B7-H1), is highly expressed on multiple types of tumors and can bind to PD-1 and mediate tumor immune escape. Therefore, inhibition of PD-1 can reactivate T-cell function., Recent studies have also revealed that PD-1 is expressed not only on T cells but also on NK cells, B lymphocytes, macrophages and dendritic cells (DCs),, suggesting that PD-1 may play a very effective role in remodeling the tumor immune microenvironment and even systemic antitumor immunity.,–

PD-1 inhibitors can specifically bind to PD-1, thereby attenuating the immunosuppressive regulation of T lymphocytes and enabling T lymphocytes to participate in the killing of tumor cells (Fig. 3). Preclinical studies have shown that PD-1 inhibitors can inhibit the proliferation of cells and induce the programmed cell death (apoptosis) of various tumor cells. PD-1 antibodies can also enhance the apoptosis of tumor cells mediated by other cytotoxic agents, such as adriamycin.,

The clinical efficacy of PD-1/L1 blocking antibodies was first observed against tumors with high PD-L1 expression, including melanoma, non-small cell lung cancer (NSCLC), and renal cell carcinoma (RCC).,, The PD-1 blocking antibody nivolumab (Opdivo) was approved in 2015 for advanced squamous cell lung cancer treatment, marking the first clinical application of anti-PD-1 therapy. Of note, the prescription criteria did not include the expression of PD-L1 on tumor cells., After that, pembrolizumab was the first immunotherapeutic drug approved by the FDA for first-line treatment of patients with metastatic NSCLC in 2016.– Different from nivolumab, the prescription of pembrolizumab requires confirmed PD-L1 overexpression on tumors., Nivolumab and pembrolizumab (coreda) were later approved as single agents for the second-line treatment of NSCLC (non-small cell lung cancer).,– On the other hand, atezolizumab (Tecentriq) was approved in 2016 to treat patients with metastatic NSCLC and disease progression during or after first-line platinum chemotherapy., In addition, atezolizumab can also be used in patients with EGFR mutations or ALK rearrangements undergoing targeted therapy and disease progression.– Another two new PD-L1 antibodies, durvalumab (Imfinzi) and avelumab (Bavencio), were approved in 2017., Furthermore, sindilizumab, a PD-1 antibody developed by Innovent Biologics in China, also achieved good results after two cycles of neoadjuvant administration, representing another candidate to target this pathway.

However, more than 50% of patients with cancer do not respond to PD-1/L1 inhibitors. Of note, the objective response rate was only 45% with pembrolizumab for non-small cell lung cancer, even in patients with high expression of PD-L1. In addition, a small proportion of patients experience hyperprogressive disease (HPD),– which may be a result of regulatory T-cell (Treg) outgrowth and subsequent inhibition of antitumor immunity.,– These results suggest that PD-1 blockade needs to be prescribed in a personalized manner to maximize its efficacy.

CTLA-4

CTLA-4, also known as CD152, is a transmembrane protein expressed in activated CD4+ and CD8+ T cells.,– While CD28 was found to be a T-cell costimulatory molecule, CTLA-4 was later discovered to mimic CD28 and act as a brake on T-cell activation., Under physiological conditions, CTLA-4 and CD80/CD86 binding can inhibit T-cell activation signals and prevent autoimmune disease., Blocking CTLA-4 can directly target inhibitory signals on effector T cells and reduce the inhibitory effect of Tregs,,– thus effectively enhancing the antitumor effect of T cells.

In 1996, James Allison found that blocking CTLA-4 caused tumor regression in mice. In subsequent human studies, the CTLA-4 antibody ipilimumab was the first-in-class ICB agent to be tested in clinical studies. Ipilimumab performed well and successfully inhibited disease progression in patients with refractory metastatic melanoma, which was a milestone of cancer immunotherapy. Intriguingly, CTLA-4 was particularly highly expressed on the surface of Treg cells infiltrated by melanoma, lung cancer and kidney cancer. Although it was later found that Treg depletion is not the main mechanism of the clinical antitumor efficacy of ipilimumab, these results suggest that the CTLA-4 antibody may also inhibit Treg cells in the TME under certain circumstances and contribute to immune activation.,,

Although both are representative IC molecules, CTLA-4 and PD-1 regulate T-cell function in different manners (Fig. 4). While the inhibitory signal from CTLA-4 negatively regulates T-cell priming, PD-1 mainly mediates the subsequent activation and proliferation of primed T cells. In the context of tumors, it was found that ICB targeting PD-1 usually leads to the expansion and recruitment of existing antitumor T cells, while anti-CTLA-4 therapy generates new T-cell clones., Furthermore, anti-CTLA-4 therapy was found to induce a Th1-like CD4+ subset, which was not observed in anti-PD-1 therapy. Genetic models also revealed that CTLA-4 enforces boundaries on CD4+ T-cell phenotypes and that PD-1 subtly restrains CD8+ T-cell phenotypes. These results indicate that CTLA-4 and PD-1 may be simultaneously targeted for synergistic antitumor effects. The combinational therapy of CTLA-4 and PD-1 ICBs indeed resulted in superior clinical responses but led to more significant adverse effects than monotherapy.

Tim-3

T-cell immunoglobulin domain and mucin domain-3 (Tim-3, CD366) is a T-cell surface inhibitory molecule that is mainly expressed on CD4+ T helper cell 1 (Th1) and CD8+ CTL cells– and on a subset of Treg cells with enhanced inhibitory function., Tim-3, also known as HAVCR2, was later found to also be expressed on some innate immune cells, including dendritic cells, NK cells, monocytes, and macrophages. In IA/IB studies, the Tim-3 blocking antibody LY3321367 was well tolerated as a single agent or in combination with an anti-PD-L1 antibody. In addition, in one patient with extensive stage PD-L1-negative small cell lung cancer that was resistant to cisplatin/etoposide and PD-1/CTLA-4 antibodies, anti-TIM-3 monotherapy resulted in a partial response (PR). Therefore, preliminary antitumor activity of anti-TIM-3 therapy was observed in early clinical studies, but phase II and III studies are still needed to verify the efficacy in larger cohorts of patients.

LAG-3

LAG-3 can be induced on CD4+ and CD8+ T cells under antigen stimulation. The inhibitory function of LAG-3 is closely related to its expression level on the cell surface, which is under stringent regulation during homeostasis.– Long-term infection with viruses, bacteria and parasites causes continuous exposure to antigens, which leads to high levels and continuous expression of LAG-3 and subsequent reductions in cytokine release, cytolytic activity, and proliferation potential.– Coexpression of LAG-3 and PD-1 on intratumor T cells has been observed in several mouse tumor models, and synergistic inhibition of tumor growth was observed when combining the blocking antibodies of these two molecules.–

LAG-3 has thus become one of the most critical new targets of cancer immunotherapy and is considered a major development direction after PD-1 with great application prospects.,, Relatlimab, the first inhibitor of LAG-3 to enter the clinic, blocks the interaction of LAG-3 with MHC II. RELATIVITY 047 (CA224-047), a phase II/III clinical study, was designed to evaluate a fixed-dose combination of relatlimab combined with nivolumab versus nivolumab monotherapy in patients with previously untreated metastatic or unresectable melanoma. The study resulted in a median progression-free survival (PFS) of 10.12 months (95% CI, 6.37– 15.74) in the combination group compared with 4.63 months (95% CI, 3.38–5.62) in the monotherapy group. In addition, the PFS rates at 12 months were 47.7% and 36.0%, respectively, supporting further development of anti-LAG-3 treatment.

In 2019, Wang et al. identified fibrinogen-like protein 1 (FGL1) as the ligand for Lag-3. It was found to bind to Lag-3 to form a new PD-1/PD-L1-independent immune checkpoint pathway, leading to T-cell exhaustion, dysfunction, and tumor cell evasion of immune surveillance. Blocking FGL1 in addition to anti-PD-L1 has the potential to become another novel ICB strategy in clinical practice, especially in the targeted therapy of non-small cell lung cancer (NSCLC).

NR2F6

Nuclear receptor subfamily 2 group F member 6 (NR2F6) was recently reported as an intracellular IC molecule, which is an orphan nuclear receptor inherent to lymphocytes., NR2F6 acts as a transcription factor regulating the activation, recruitment, proliferation, and homeostasis of cells associated with tumor antigen-specific T-cell responses. In NSCLC tissues, high expression of NR2F6 was detected in tumor-infiltrating lymphocytes (TILs), and upregulated NR2F6 expression was associated with impaired production of cytokines, including IL-2, TNF-α, and IFN-γ, suggesting that NR2F6 on TILs contributes to tumor immunosuppression. Moreover, the disruption of NR2F6 resulted in tumor suppression and enhanced the effect of PD-L1 blockade in tumor therapy, suggesting that NR2F6 inhibitors may become a new type of immunotherapy that can overcome resistance to existing ICB treatment.,

TIGIT

T-cell immunoglobulin and ITIM domain protein (TIGIT) is a type I transmembrane protein. TIGIT belongs to the immunoglobulin superfamily (IgSF) and can be expressed on T cells, regulatory T cells, memory T cells, and NK cells. TIGIT mediates the inhibitory effect on the activation of NK cells and T cells through its interaction with the ligands CD155 and CD112, which are expressed on antigen-presenting cells (APCs).– In human tumors, TIGIT was found to be coexpressed with multiple IC molecules, including PD-1, TIM-3, and LAG-3. The coexpression of TIGIT, TIM-3 and PD-1 showed a correlation with poor survival in patients. In mouse models of malignant melanomas, it was found that the tumor growth rate was slowed down after TIGIT knockout, and survival was significantly prolonged. In human cancer models, simultaneous blockade of the TIGIT and PD-1 signaling pathways increased the expression of IFN-γ and TNF-α in tumor-specific CD8+ T cells, supporting the development of anti-TIGIT treatment. Two phase I clinical studies targeting TIGIT for cancer immunotherapy are currently ongoing.

VISTA

V-set immunoregulatory receptor (VISTA), also known as PD-1H or DD1α, is an immunomodulatory protein that was discovered in recent years. It is mainly expressed in lymphoid organs and bone marrow cells, and its structure is similar to that of PD-L1., Studies have shown that VISTA-expressing APCs have inhibitory effects on CD4+ and CD8+ T cells; when this molecule is blocked, the immune function mediated by T cells is rescued, suggesting that VISTA is an IC molecule that inhibits T-cell responses. In T cells, the inhibitory effects of VISTA and PD-1 are independent of each other, and studies in mouse models of tumors also verified that the simultaneous application of anti-PD-1 and anti-VISTA antibodies can inhibit tumor growth and prolong survival.

In gastric cancer patients, VISTA was found to be expressed in some tumor cells, as well as TILs. Furthermore, patients with VISTA-high oral squamous cell carcinoma have a poor prognosis. After treatment with ipilimumab in prostate cancer patients, the levels of VISTA+ TILs and macrophages were significantly upregulated, indicating that VISTA might contribute to acquired resistance to current ICB treatments, and the combined blockade of VISTA and CTLA-4 may exert better effects than blockade of either factor alone. The anti-VISTA antibody JNJ-61610588 is now being evaluated in a phase I clinical study for the treatment of solid tumors (NCT02671955).

BTLA

B and T lymphocyte attenuator (BTLA) belongs to the immunoglobulin superfamily. It is expressed on T cells, resting B cells, macrophages, dendritic cells and NK cells and is similar in structure and function to PD-1 and CTLA-4. The ligand for BTLA is herpesvirus entry mediator (HVEM). When BTLA binds to HVEM, it generates inhibitory signals and inhibits T-cell activation. Anti-BTLA treatment can promote T-cell proliferation, and BTLA knockout mice show higher immune activity.– In patients with malignant melanoma, tumor-specific T cells in both circulating lymph and metastatic lymph nodes expressed BTLA, and the expression of HVEM was also detected in the patient’s tumor tissue. The expression of BTLA was found to be significantly increased in pleural effusion samples from patients with lung cancer, which is an indicator of tumor aggressiveness. Therefore, BTLA, as an inhibitory molecule for immune regulation, has broad research prospects. At present, research on BTLA and HVEM inhibitors is still in the preclinical stage, and it is expected that related drugs will be launched as soon as possible and enter into clinical research verification.–

OX40

OX40, also known as CD134, is a member of the tumor necrosis factor receptor (TNFR) superfamily and is expressed 24–72 h after T-cell activation. Its ligand OX40L, also known as CD252, is mainly expressed on the surface of activated APCs. The OX40-OX40L interaction can initiate T-cell activation signals as well as the expression of cyclin A, Bcl-2 anti-apoptotic molecules, cytokines, and cytokine receptors. Mouse models have shown that specific antibodies that stimulate OX40 can reduce the number of Tregs, thereby maintaining the function of effector T cells and showing high antitumor activity.–

There are many clinical studies targeting the OX40-OX40L pathway, including those on single-agent application of specific antibodies that excite OX40 or combination with chemotherapy, radiotherapy, surgery, small molecule-targeted therapy, cytokines or other ICB drugs. The results of a study of the OX40 agonist MOXR0916 showed that as a monotherapy or in combination with atezolizumab, the treatment achieved PR in 2 out of 51 patients, and more phase I/II clinical studies are underway. However, there have been no clues about whether OX40 agonists should be used as a monotherapy or combined with other drugs. Future basic and clinical research is needed for an in-depth understanding of the mechanism by which OX40 regulates different T-cell subtypes in the TME.

ICOS

Inducible costimulatory molecule (ICOS), also known as CD278, is a member of the immunoglobulin superfamily. ICOS is expressed on the surface of activated T cells and regulates T-cell proliferation and function. The activation of ICOS is dependent on its ligand ICOS-L, which is mainly expressed in B cells and APCs. ICOS has been shown to be an important marker for ICB efficacy.– When malignant melanomas were treated with anti-CLTA-4, the abundance of ICOS+ CD4+ T cells was found to be associated with better efficacy. In mouse models, ICOS agonist alone had difficulty eliciting sufficient antitumor responses against melanoma; however, there was a synergistic effect between ICOS and anti-CTLA-4; in addition, ICOS knockout mice responded poorly to anti-CTLA-4 treatment. Simultaneous use of ICOS agonists and anti-PD-1 and anti-CTLA-4 therapy can also enhance the antitumor effect against lung cancer in preclinical models. Currently, several phase I clinical studies targeting the ICOS pathway are ongoing.

4-1BB

4-1BB, also known as CD137, is a member of the TNFR family. The function of 4-1BB on regulatory T cells is complex, and studies have led to contradictory results. However, importantly, 4-1BB gene knockout mice developed autoimmune diseases, suggesting that it plays an important role in immune balance and has the potential to be targeted to elicit tumor-specific immune recognition.,

Currently, clinical studies of two 4-1BB-specific agonistic antibodies, urelumab and PF-05082566, are ongoing, and the preliminary results support that 4-1BB agonism can promote the proliferation and activity of T cells and NK cells. Another clinical study used PF-05082566 combined with PD-1 antibody to treat NSCLC and renal cell carcinoma. With only 6 out of 23 patients achieving a complete response (CR) or PR, combinational therapy may need to be reinvestigated for better patient selection.

CD27

Unlike other members of the TNFR family, CD27 is expressed only on the surface of lymphocytes, including naive and activated CD4+ and CD8+ T cells. When it interacts with its ligand CD70, CD27 induces the proliferation and differentiation of effector and memory T cells and enhances the activation of B cells and NK cells., Mouse models suggest that the induction of the CD27 signaling pathway can inhibit tumor growth. In addition, it was found that 1/3 of patients with Hodgkin's lymphoma and diffuse large B-cell lymphoma had germline depletion of CD27 or CD70, and most patients with diffuse large B-cell lymphoma and Burkitt's lymphoma had mutation or depletion of the CD70 gene, which further verified the antitumor immune effect of the CD27/CD70 signaling pathway.–

Varlilumab is a humanized monoclonal antibody against CD27 that promotes cytokine production and activation of T cells. In a phase I clinical study, varlilumab was well tolerated in patients with advanced solid tumors and has shown initial safety results: of 56 patients in the phase I study, only one patient developed grade 3 hyponatremia, and most treatment-related toxicities were grade 1–2. One patient with advanced renal cell carcinoma achieved a PR (tumor reduction of 78%), which lasted for 2.3 years. Eight patients had stable disease (SD) for more than 3 months, and one patient with advanced renal cell carcinoma had SD for more than 3.9 years. In addition to monotherapy, varlilumab has also been used in combination with anti-PD-L1 antibodies. The antitumor effect of this CD27 agonist still needs further, larger-scale investigation.

ICs on NK cells

In the human body, NK cells are mainly characterized by a CD3-CD56+ lymphocyte population, and the CD16+CD56dim subtype is mainly found in the blood. As an important part of the natural immune system, NK cells play an important role in removing senescent cells and pathogenic microorganisms. NK cells do not recognize target cells through specific receptors like TCRs do; they recognize cells through receptors expressed by germline genes. The negative regulators of NK cells include KIRs (immunoglobulin-like receptors), CD94-NKG2 and MHC-I.– In the context of tumor immunology, as tumor cells downregulate MHC expression to escape acquired immunity, they become more susceptible to NK-cell cytotoxicity. In addition, NK cells play an essential role in mediating antibody-induced cellular cytotoxicity (ADCC) in antibody therapy.– NK cells can also directly exert an antitumor effect by secreting cytokines or mobilizing immune cells such as dendritic cells, macrophages, and T cells to participate in the process of removing tumor cells, making them attractive targets for cancer immunotherapy.

KIR

The killer cell immunoglobulin-like receptor (KIR) family is a class of highly polymorphic molecules mainly expressed on the surface of some NK cells and T cells, which can be divided into multiple subtypes. Among them, KIR2DTl1-3 and KIR3DL1 can exert inhibitory effects by binding MHC molecules (HLA-C/HLAB). Due to the characteristics of high gene polymorphism, the combination of multiple KIR genes and their ligands can cause a variety of diseases, including autoimmune diseases, especially the combination of some KIR genes and specific ligands, which can increase the risk of cancer. In mouse models, treatment targeting the activated NK-cell surface receptor KIR2DS2 showed significantly superior antitumor activity to treatment targeting conventional costimulatory molecules.–

The KIR inhibitor IPH2101 showed efficacy in preclinical models but not in phase I/II clinical studies, despite the observation that KIR inactivation was associated with prolonged survival in patients with colorectal cancer and glioblastoma., By further analyzing the blood sample of patients treated with IPH2101, Carlsten et al. found that IPH2101 binding to KIR resulted in NK-cell clearance via FcγR recognition from APCs. Lirilumab, another inhibitor of KIR, had an objective response rate of 24% in combination with nivolumab in advanced head and neck tumors, which may suggest less APC-mediated clearance using this antibody. A phase I/II clinical study of lirilumab is underway for advanced solid tumors and hematological tumors.

NKG2A

NK-cell lectin-like receptor subfamily C member 1 (NKG2A) is an “inhibitory” member of the NKG2 family and is mainly expressed in CD56hi NK cells, NKT cells and CD8+αβ T-cell subsets. It forms a heterodimeric receptor with CD94 and binds with its ligand, the nonclassical MHC I molecule HLA-E, which is expressed in most normal tissues. The interaction between NKG2A/CD94 and HLA-E can inhibit the activation of NK cells and T cells, indicating the potential to be targeted as an IC molecule.

Monalizumab (IPH2201), jointly developed by Innate Pharma and AstraZeneca, is an NKG2A monoclonal antagonistic antibody that can block the interaction between NKG2A and HLA-E and has shown therapeutic effects in a leukemia mouse model. Monalizumab has been used in phase II clinical trials against cancers of the female reproductive system and NSCLC. In these clinical studies, monalizumab was well tolerated but with limited therapeutic effect, and only showed short-term SD in some patients. However, monalizumab combined with cetuximab (EGFR blocking antibody) reached a 27.5% response rate against recurrent or metastatic head and neck squamous cell carcinoma, suggesting that combining monalizumab with targeting oncogenic pathways may enhance clinical antitumor efficacy.

CD96

CD96 is a member of the immunoglobulin superfamily expressed on NK cells, recognizing the ligand CD155. It was found that CD96 expression on tumor-infiltrating NK cells was higher than that on NK cells in surrounding tissue. Higher levels of CD96 expression on NK cells in hepatocellular carcinoma samples predicted poor prognosis. Preclinical results in tumor models with implantable or spontaneous metastases have proven that CD96 inhibitors can reduce metastatic potential,, which supports the future clinical application of agents with this target.

Cellular immunotherapy

Immune cells with cytotoxic potential, including T cells, NK cells and macrophages, recognize and eliminate infected or damaged cells under physiological conditions. The cytotoxic effect from T cells is distinct from others given its nature of antigen specificity. Cellular immunotherapy, also called adoptive cell transfer (ACT), exploits the killing capability of these types of immune cells for the treatment of cancers.– Here, we discuss four major types of ACT that have achieved significant research and clinical progress: CAR T-cell therapy, TIL therapy, engineered TCR therapy, and NK cell therapy.

TIL therapy

TILs are heterogeneous lymphocytes that can be identified and purified from tumor tissues, and their abundance has been found to correlate with a better prognosis.– Unfortunately, in most cancer patients, there are too few endogenous TILs to elicit a sufficient antitumor response. TILs were among the first set of cells exploited for ACT. These cells can be isolated from tumors, expanded in a laboratory environment in vitro, and reinjected in large numbers into cancer patients to eliminate tumor cells.– TIL therapy has been tested rigorously in clinical studies, resulting in inspiring outcomes against certain types of tumors, with the longest reported survival of 11 years., TIL therapy has resulted in clinical remissions in some patients who have exhausted all other treatment options. One of the examples was a patient named Melinda Bachini, who was diagnosed with cholangiocarcinoma in 2009 and developed whole-body metastasis despite surgery and chemotherapy. This patient was then recruited into a clinical study of TILs. Only 1 month after TIL treatment, her whole-body tumor began to regress, and her physical strength recovered quickly. Now she is the first survivor of advanced bile duct cancer for more than 10 years. Another patient had metastatic adenocarcinoma that did not respond to chemoradiation and had metastases to retroperitoneal lymph nodes and to the surface of the liver. Before TIL treatment, tumor metastases were found in the retroperitoneum, abdominal wall, parahepatic and pelvic cavity. After treatment, a CR was declared in this patient with the regression of tumor sites detected. TILs have been considered to have the ability to accurately identify tumor antigens, which contributes to their tumor specificity, and this new therapy can be considered “tailored” to the patient. Below, we summarize the recent progress of TIL therapy against different types of tumors.

Melanoma

LN-144 (Lifileucel) is a TIL-based therapy against melanoma. A phase II clinical trial showed disease control rate of 80.3% and an objective response rate of 36.4%: two patients had a CR, 23 had a PR, and some patients' tumors completely disappeared after 2 years of treatment. More strikingly, some patients with PD-L1-negative tumors, who were likely not responsive to anti-PD-1 ICB, also responded to TIL therapy, suggesting that patients refractory to other types of immunotherapy can still benefit from TIL therapy. Indeed, another phase I clinical study used TILs to treat anti-PD-1-resistant tumors: two patients achieved a CR that lasted for more than 1.5 years,, suggesting that for patients who have progressed after PD-1 therapy, TIL therapy is among the few other treatment options.

Lung cancer

A phase I clinical trial result was announced at the 2021 AACR meeting. In 12 evaluable patients with NSCLC, TIL therapy achieved a 25% overall remission rate. At a mean follow-up of 1.4 years, three patients were in remission, and two of these patients had durable complete for more than one year. Moreover, most of the patients had smaller tumor lesions after receiving TIL treatment. On the first CT scan after receiving treatment, the diameter of the tumor lesions was reduced by an average of 38%.

Cervical cancer

In a phase II clinical study of LN-145, a TIL therapy for advanced cervical cancer, most of the enrolled patients had refractory disease after 2–3 prior treatments. At a median follow-up time of 3.5 months post-infusion, the objective response rate of LN-145 treatment was 44%, and the disease control rate was 85%. Three patients' tumors completely disappeared, and nine patients' tumors shrank significantly. With a median follow-up of 3.5 months, 11 of the 12 patients had sustained responses, and no serious adverse events occurred. Based on the promising data of this clinical trial, the US FDA granted LN-145 with “breakthrough therapy” status for advanced cervical cancer, with approval entering the fast approval track.

Metastatic breast cancer

In 2018, a case report was published about a patient with refractory estrogen receptor-positive metastatic breast cancer who received TILs for four mutant proteins (SLC3A2, KIAA0368, CADPS2, and CTSB). Twenty-two months after the infusion, the tumor had completely disappeared, and 4 years later, there was no progression or recurrence. Larger-scale clinical studies of TIL therapy against breast cancer are currently ongoing.

Osteosarcoma

A clinical study was performed to determine the safety and efficacy of TILs and anti-PD-1 therapy for the treatment of osteosarcoma. In this study, 30 patients received anti-PD-1 monotherapy, and another 30 patients received TIL+anti-PD-1 combinational therapy. At the last follow-up assessment, no patients receiving monotherapy survived, with a mean overall survival of 6.6 months. In contrast, 10 of the 30 patients who received combinational therapy survived, with an objective response rate of 33.3%. Of note, two of the 10 patients experienced complete remission according to imaging examination. The mean overall survival was 15.2 months, which was more than doubled that of patients who received PD-1 monotherapy.

Ovarian cancer

The combination of ICB with TIL therapy for the treatment of ovarian cancer has been tested in a phase I clinical study. The results showed that one patient achieved a PR, and the other five experienced SD for up to 12 months. The best strategy for the design of combinational treatment still requires further investigation.

From the clinical applications above, we can infer that the combination of ICB with TIL therapy can be an approach for the future design of immunotherapy. This combinational strategy has been proven for its safety against some types of tumors, with five potential advantages: (1) the killing ability of TILs can be improved by ICB; (2) TILs are believed to have specific clones that recognize tumor antigens, and advanced technologies have also allowed targeted screening processes to expand antigen-specific TILs and improve specificity; (3) there is potential for these treatments to be further combined with radiotherapy and chemotherapy to reduce tumor recurrence; (4) both TILs and ICB antibodies can be reinfused to maintain the antitumor response; and (5) the other host immune cells can be activated after ICB, which may form synergistic antitumor effects with TILs. TIL therapy has shown great potential for solid tumors, and new clinical studies have been conducted to expand the scenario of applying TILs to other cancers in the future.

Engineered TCR T therapy

TCRs are specific receptors on the surface of T cells. By recognizing and binding to the antigens presented by MHC, they can activate the division and differentiation of T cells. However, not all patients have T cells that can recognize tumors. Therefore, TCR-T therapy involves taking T cells from patients and expanding these cells to equip patients with new TCRs that can recognize specific cancer antigens.

The design of engineered TCRs used for TCR-T therapy is highly dependent on the identification of specific tumor antigens. Some antigens, such as NY-ESO-1, are widely expressed in tumor tissues and can be exploited to develop TCRs to treat different types of tumors. However, TCRs can be identified and synthesized in a patient-specific manner. As TIL therapy exploits the difference between intratumoural versus systemic lymphocytes, the identification of specific mutations in a patient's tumor guides the generation and application of TCRs that can effectively target these mutations. These TCRs can then be isolated, cloned and expressed on T cells before these engineered T cells are expanded in vitro and reinfused into the patient., This is a highly personalized treatment approach that enhances the specificity of the therapy. TCR therapy has made breakthroughs in the treatment of melanoma and has also achieved certain results in the treatment of liver cancer, breast cancer, and ovarian cancer. However, TCR recognition of tumor antigens requires antigen expression by the MHC molecule, and tumor cells will escape T-cell killing by decreasing the expression of MHC.,

CAR-T cell therapy

CAR-T cell therapy is another type of ACT strategy. Sharing a similar principle with TCR T therapy, the patient's T cells are “equipped” with the synthetic CAR, expanded and reinfused into the patient to generate a tumor-specific immune response (Fig. 5).– CARs are designed to recognize tumor-associated antigens (TAAs), which are independent of MHC presentation, therefore enabling T cells to recognize cancer cells in an MHC-nonrestricted manner.– At present, ACT of CAR-T cells has become one of the main methods of tumor immunotherapy, providing new therapeutic solutions to many types of tumors.– Rigorous clinical studies have also allowed researchers to understand the limitations and side effects of this type of treatment, fostering the development of future immunotherapies based on CAR-T cell refinement.

Principles and achievements of CAR-T cell therapy

CAR-T cells are generated by expressing tumor-specific CARs on the plasma membrane of T cells. The structure of CARs usually includes three parts: the extracellular antigen-binding domain, the linker/transmembrane domain, and the intracellular signaling domain. The extracellular antigen-binding region is designed utilizing the sequences of antibodies, ligands and peptides to specifically bind with TAAs. The transmembrane domain is responsible for connecting the extracellular binding domain with the intracellular signal domain and fixing it on the cell membrane., The intracellular signaling region, including the CD3-zeta domain and the costimulatory domain(s), transduces the signal of antigen recognition to the cell, mediating T-cell activation. The evolution of CAR-T cells has undergone four generations. For the first, second and third generation CAR designs, the intracellular signal transduction regions included zero, one and two costimulatory domains, respectively; the fourth generation usually refers to “armored” CAR-T cells with additional expression of immune-stimulatory factors or cytokines to further enhance T-cell activity.,

CAR-T cell therapy involves the integration of synthetic biology (CAR design), viral technology (CAR transduction) and cell manufacturing (CAR-T cell expansion) (Fig. 6). The introduction of the CAR generates tumor-specific activation potential in engineered T cells, while ex vivo culture and expansion allow the bypassing of tumor-induced immune suppression.– As a result, large numbers of tumor-specific cells are infused back into the patient.– CAR-T-cell therapy has shown promising clinical results against several types of cancers. At present, 6 CAR-T-cell therapy drugs have been approved for marketing worldwide, including four targeting CD19 in B-cell leukemia/lymphoma (Kymriah from Novartis; Yescarta and Tecartus from Kite/Gilead; Breyanzi from Bristol-Myers Squibb) and two targeting APRIL or BCMA in multiple myeloma (Abecma from Bristol-Myers Squibb and Cilta-Cel from J&J and Legend Biotech. Of the six products, two have also been approved by the Chinese FDA, including Yescarta (with the name of Achilles by Fosun Kite) and Breyanzi (with the name of Requilense by JW Therapeutic). In addition, there have been almost 1000 clinical trials registered for CAR-T cell treatment against various types of tumors.

Challenges of CAR-T cell therapy

Despite the clinical successes listed above, the broader application of CAR-T cell therapy is still complicated by challenges from different aspects. First, when attacking tumor cells, CAR-T cells may cause severe side effects and toxicities that can be lethal. Second, the cytotoxicity of some CAR-T cells is not highly tumor-specific and may cause damage to normal tissue. Third, the manufacturing process of most CAR-T cell products is time consuming, which may result in further deterioration of some patients' tumors during the cell-producing window period. Furthermore, the long-term efficacy of CAR-T therapy against blood cancer still requires long-term follow-up observation, while CAR-T cell therapy application for solid tumors needs further study. These challenges will dictate the development of the entire field of T-cell engineering in the future.

Cytokine release syndrome (CRS), also known as a “cytokine storm”, is the most frequently observed adverse reaction with CAR-T treatment. After CAR-T cell infusions, the systemic inflammatory response can be elicited by the rapid rise of IL-6 and IL-13.– The clinical manifestations mainly include fever, fatigue, headache, epilepsy, nausea, chills, and dyspnea. Patients with severe CRS may develop acute respiratory distress syndrome, hypotension, tachycardia, liver damage, renal failure and fulminant hemophagocytic lymphohistiocytosis (HLH), which can all become lethal., CRS usually occurs within a week after CAR-T infusion, with peaks occurring 1 to 2 weeks after infusion. It is worth noting that in the pathophysiological process of CRS, in addition to activated CAR-T cells, endogenous immune cells, such as monocytes, macrophages, and/or dendritic cells, are involved in the synthesis and release of various cytokines and clinical CRS symptoms.,

Immune effector cell-associated neurotoxicity syndrome (ICANS) refers to nervous system toxicity after CAR-T-cell infusions. The incidence of ICANS is closely correlated with CRS, with the rate differing between clinical studies but can be as high as 50%., The symptoms can manifest as mild behavioral abnormalities, unresponsiveness, aphasia, and epilepsy and are more common in patients with B-ALL than in those with other diseases. Mild ICANS is often reversible, but the etiology of ICANS is still unclear and may be related to various factors, such as cytokine release, infiltration of CAR-T cells into the central nervous system, and the dose of CAR-T-cell infusion.,

On-target, off-tumor toxicity is commonly observed in patients with B-cell malignancies after CAR-T therapy, as CAR-T cell targets (CD19, CD20 and/or CD22) are expressed in both normal and malignant B cells. The resulting B-cell aplasia can lead to hypoimmunoglobulinemia, and regular intravenous immunoglobulins can reduce the risk of opportunistic infections., However, the duration of B-cell aplasia is also an indicator of functional CAR-T-cell persistence and superior antitumor response. For CAR-T cells targeting other TAAs, the on-target, off-tumor toxicity needs additional attention. A clinical study using HER-2 CAR-T cells resulted in severe damage to the patients’ cardiac and respiratory systems. Due to the difficulty in finding TAAs that are exclusively expressed by tumor cells, CAR manipulation may be required to modify the activation potential against different antigen expression densities.

Uncertain long-term efficacy is indicated in most clinical studies of CAR-T cells, even against leukemia, where the most promising CAR-T cell clinical response was observed. Several studies have shown that for B-ALL, although the clinical remission rate can reach more than 80%, the recurrence rate within one year can also reach more than 40%. This may be related to the inability of the engineered T cells to persist in the patients due to a variety of immune escape factors expressed by cancer cells, causing T-cell senescence and exhaustion., Furthermore, most clinical studies of CAR-T cell therapy against solid tumors have shown unsatisfactory results, despite some evidence of antitumor activity or even complete responses in some patients. CAR-T cells targeting solid tumors face challenges including vascular disorders that block T-cell infiltration, limited options for TAAs and tumor heterogeneity, which causes antigen escape. The application of CAR-T cells in solid tumors needs further exploration.,

Leveraging specificity with broad targeting

The long-term antitumor function of CAR-T cells has been complicated by tumor recurrence post-infusion. In view of the risk of antigen escape after CAR-T treatment, the design of a bispecific CAR-T that targets multiple TAAs can be adopted. These CAR-T cells are named “OR-gated”, meaning that the expression of either TAA on tumor cells can elicit CAR-T-cell activation. For B-ALL treated with CD19 CAR-T cells, recurrent malignant cells may downregulate CD19 but maintain CD22 expression. Therefore, “OR-gated” CARs targeting both CD19 and CD22 have the potential to reduce antigen escape. However, there are huge obstacles to applying “OR-gated” CAR-T-cell therapy in solid tumors., Given that solid tumor TAAs can hardly meet the criteria of stringent tumor specificity, off-target effects can be more significant if CAR-T cells require either of two TAAs for activation.– In contrast, designing an “AND-gated” CAR construct, which needs both TAAs to activate T cells, can reduce the probability of on-target, off-tumor effects. The application of these CAR-T-cell designs will be highly dependent on the nature of the targeted tumors and clinical needs.

Enhancement of long-term antitumor effects

While tumor antigen escape accounts for many instances of postinfusion recurrence, quite a few relapsed cases still maintain the expression of the targeted antigen, indicating that CAR-T-cell dysfunction is an important contributor to treatment failure. Therefore, improving the fitness of CAR-T cells, including the activation potential, proliferation and survival capability, and prolonging the survival time of CAR-T cells in patients is one of the key directions to enhance clinical responses., Intriguingly, most strategies to optimize CAR-T-cell products are focused on preventing the overactivation and subsequent exhaustion and/or apoptosis of CAR-T cells. The approaches include modification of the manufacturing environment, pre-enrichment of memory T-cell subsets, CAR construct engineering to reduce signaling domains, and combination of small molecules to inhibit activation signals. Most of these methods have shown responses superior to those of traditional CAR-T therapy in preclinical models, which needs to be further validated for their safety and efficacy in clinical studies.

Reduction of manufacturing cost

To date, all approved CAR-T-cell therapies use autologous T cells to generate the therapeutic product. The production of this highly personalized therapy requires high cost. The CAR-T products approved by Novartis and Kite are priced at 475,000 USD and 373,000 USD, respectively, and the high prices limit their market potential. Novartis' CAR-T products yielded $12 million in revenue in the first quarter of 2018, only 30% of the expected revenue; Kite's CAR-T products also yielded less than expected within two months of approval. In addition to the high cost, the quality and stability of CAR-T-cell therapy have been major concerns. Autologous T cells are inconsistent in their quality and quantity, especially in patients who have been heavily pretreated with radiation and chemotherapy. The development of allogeneic “universal” CAR-T products aims to address these challenges. The technology has the potential to turn CAR-T cells into “off-the-shelf” drugs, with the advantages of large-scale production, lower cost and consistent characteristics. At present, although most general CAR-T cell therapies are still in the preclinical or early clinical stage, their attractive therapeutic potential is enough to serve as a strong driving force for continued research and development for the future benefit of more patients.

Toxicity control

The toxicity and side effects exhibited by CAR-T cell therapy indicate that some control programs need to be developed to regulate the activity of CARs. A large number of methods have been used to control the safety of CAR-T cells; these include the rapid removal of infused cells by installing a suicide switch, which can be controlled by small molecules or antibodies. Commonly used suicide switches include inducible caspase-9 (iCasp9), thymidine kinase (HSV-TK) in herpes simplex virus, and suicide epitopes. However, such a suicide switch clears all therapeutic CAR-T cells, which compromises the antitumor response. Therefore, noncytotoxic reversible systems that do not clear CAR-T cells are under development and have the potential to maintain the balance between maintaining cytotoxicity and controlling toxic responses (Table 1).

NK cell therapy

NK cells are another important type of immune cell that can mediate direct cytotoxicity. Mechanistically, NK cells play a key role in the first line of defense against cancer, mediating antitumor effects through two pathways: direct cytotoxicity through the release of post-perforin and granzyme or death receptors and the regulatory effect by secreting cytokines and chemokines that activate APCs and T cells.– Therefore, in addition to drugs targeting the ICs on NK cells, which were discussed earlier in this article, ACT using NK cells is also under rapid development., There are many similarities between ACT strategies built around NK cells and T cells, despite the differences between the innate and acquired immune systems.

Similar to T cells, NK cells can also be transduced to express CARs. The development of CAR-NK cells followed the evolution of CAR-T cell therapy, and CAR-NK cells often directly adopt CAR-T cell designs. In 2020, the first CD19-targeted CAR-NK clinical study with confirmed safety and evidence of efficacy against B-cell malignancies was reported. Moreover, many preclinical studies have confirmed the antitumor activity of CAR-NK cells targeting other types of tumors.,

Advantages of NK cell therapy

The most important advantage of NK cell therapy relies on the nature of NK cells as part of the innate immune response. Compared with allogeneic T-cell products, allogeneic NK cells are significantly less concerning in terms of GvHD. Technological advances have also made it possible to expand NK cells in large numbers using feeder cells, providing a stable resource to manufacture “off-the-shelf” products with more controllable costs.

Because NK cytotoxicity is triggered by “missing-self” recognition, NK cells, in particular, have the capability of killing tumor cells with MHC downregulation. NK cells also have special killing ability to virus-infected cells, making them particularly suitable for the treatment of HPV- or EBV-associated tumors. Recent studies have also found that NK cells can inhibit the formation of tumor-associated blood vessels. In addition, NK cells are the most critical mediator of ADCC and have great potential to be combined with targeted antibody therapy. Furthermore, according to the clinical results of NK therapy, the incidence rates of CRS and ICANS are significantly reduced compared with those of CAR-T therapy, making it possible for this strategy to be applied in patients with less stringent limitations of age and prior treatment.

Challenges of NK cell therapy

Although allogeneic NK cells can provide a sufficient amount of starting material for ACT, freeze‒thaw cycles can significantly reduce NK-cell viability and cytotoxicity. Moreover, the in vivo expansion potential of NK cells is not as robust as that of CAR-T cells, which may lead to tumor recurrence early after infusion. Indeed, in a clinical study of CD19-CAR-NK cells, no correlation was found between the infusion doses and clinical outcome, indicating the major challenge of sustaining NK-cell activation against tumors.

For CAR-NK cell therapy, most current CARs have been directly adopted from CAR-T cells. The location of the CAR-binding epitope and its distance from the surface of CAR-NK cells may affect cytotoxicity in a T-cell-independent manner. The relatively high number of cells in infusions also makes NK approaches sensitive to insertional mutagenesis caused by viral CAR vectors. The Sleeping Beauty transposon system and mRNA transfection strategy, which have both been successfully applied to CAR-T cell production, remain to be evaluated as practical methods to generate CAR-NK cells.

Directions for the future development of NK cell therapy

NK cytotoxicity can be affected by multiple immunosuppressive mechanisms in the TME, including IL-10, indoleamine 2,3-dioxygenase, prostaglandin E2, transforming growth factor beta (TGF-β) and hypoxia., Enhancing NK-cell cytotoxicity and persistence in vivo is believed to be the major direction of advancing NK therapy.

Cytokines to support NK-cell maintenance

IL-15 has been identified as a key cytokine that enhances NK-cell activity. In syngeneic mouse models of cancers such as melanoma, colorectal cancer, lymphoma and lung cancer, injection of IL-15 was well tolerated and facilitated the expansion of NK cells. IL-15 can therefore be used as a monotherapy and as an adjuvant for NK-cell adoptive cell therapy. In a study targeting non-Hodgkin's lymphoma, medium and high concentrations of IL-15 effectively improved the survival rate of patients. IL-15 is also the main factor that induces NK-cell expansion in NK-cell culture in vitro. Therefore, multiple engineered NK-cell designs incorporate the expression of IL-15, and these designs are currently being tested in clinical studies.

Combination with NK checkpoint blockade

In 2011, the anti-KIR monoclonal antibody (lirilumab) was licensed to BMS for late-stage clinical development at a total price of $440 million and then tested in seven clinical trials. CD94/NKG2A-targeting monalizumab from AstraZeneca was soon developed as an NK ICB therapy. Moreover, NK-cell stimulatory receptors, including NKG2D, NCR, CD226, and CD16, provide targets for agonistic antibodies. Of note, most monotherapies targeting NK-cell checkpoints have failed to yield promising clinical responses; therefore, combination with NK-cell ACT might be a strategy for maximizing the stimulatory function of antibodies.

The “off-the-shelf” nature of NK-cell products makes their broad application possible. NK cells can specifically recognize and target cells with MHC downregulation, which can compensate for reduced antitumor T cell function. With more in-depth research on NK-cell activation and maintenance, future therapeutic methods must not only generate tumor-specific NK cells but must also increase their persistence in vivo to enhance their therapeutic potency.

CRISPR technology advances cellular immunotherapy

Recently, CRISPR/Cas9 technology has greatly improved our understanding of tumor genomics and contributed to cancer immunotherapy.– Using this genome editing system, therapeutic immune cells can be further engineered to enhance tumor recognition and reduce exhaustion (Fig. 7).,– The first clinical study using CRISPR-engineered T cells was initiated in 2016 by Sichuan University in China. In 2020, a clinical study reported the use of PD-1 knockout T cells to treat patients with NSCLC that was refractory to radiotherapy and chemotherapy; it demonstrated that CRISPR engineering is safe in T cells, which paves the way for combining CRISPR technology with other T-cell modification approaches. NY-ESO-1 TCR-T cell therapy with CRISPR-mediated knockout of TCR and PD-1 represents the first tumor-specific T cells with further genetic modifications tested in the clinic. Moreover, the CRISPR gene editing system allows for broader application of allogeneic T-cell therapy. When allogeneic products are depleted of their endogenous TCRs and HLA molecules, they become less likely to be rejected and have a reduction in GvHD potential. Alternatively, CRISPR-mediated screening systems have been applied in multiple clinical studies. Such screening of tumor cells can identify targets that render tumors more sensitive to T-cell cytotoxicity. Moreover, screenings performed directly on therapeutic immune cells, such as CAR-T cells, have identified and validated critical factors that can be exploited in future research to further potentiate cellular immunotherapy.,–

Biomarkers for ICB

The overall impressive clinical effect of ICB has led to several approvals of related treatments. However, not all patients can benefit from ICB treatment, making it critical to identify biomarkers for efficacy prediction. For patients to receive accurate and effective treatment, biomarkers are responsible for screening and classifying patients, accurately identifying patients with drug response, and allowing them to receive the best treatment as soon as possible.– Indeed, inappropriate application may even cause disease progression, illustrating the need for ICB to be prescribed in a personalized manner based on the analyses of certain biomarkers.

PD-L1 was used as the first biomarker for anti-PD-1 treatment, which was included in the prescription guide of pembrolizumab.– However, PD-L1 can be induced by interferon and many other immunological signaling pathways during treatment, which undermines the utilization of PD-L1 as a predictive biomarker for ICB. The first reported study of acquired resistance to anti-PD-1 ICB identified mutations involved in interferon and antigen presentation pathways, which have become critical biomarkers to predict relapse post ICB. Further studies have identified additional mutations and immunosuppressive molecules that are associated with a poor prognosis in ICB-treated patients.– In contrast, the T-cell inflammatory gene expression profile (GEP) and somatic copy number variation (SCNA) are correlated with a good prognosis in ICB-treated patients.,

At present, common or potential biomarkers related to immunotherapy efficacy have been reported mainly in the following categories based on their accessibility: (i) surface markers, including PD-L1 and some other inhibitory receptors, which can be examined by immunohistochemistry of tumor tissues; (ii) genetic biomarkers, such as tumor mutation load (TMB), mismatch repair system deficiency (dMMR), high microsatellite instability (MSI-H), neoantigens and mutations of the antigen presentation pathway, which all require genomic analyses of the tumor; and (iii) circulating tumor DNA (ctDNA), which is accessible by analyzing peripheral blood.– Some of these biomarkers have been verified by phase III clinical trials and are widely used in the clinic.– More biomarkers reflecting immune efficacy are still under continuous research and testing. One good example was the study from Sun Yat-sen University Cancer Hospital, which was a comprehensive analysis of genomic data identifying POLE and POLD1 gene mutations that can be used as independent biomarkers for predicting the efficacy of immunotherapy across cancers, which can provide more accurate guidance for the clinical application of immunotherapy (Table 2).

MSI-H and MMR

MSI-H refers to the variation in the length of short and repeated DNA sequences, which may include insertions, deletions or mutations caused by MMR functional defects.– The MSI phenomenon was first found in colorectal cancer in 1993. According to the degree, it can be divided into the following: MSI-H, MSI-L and microsatellite stability., Mismatch repair (MMR) is a DNA damage repair mechanism against the wrong insertion, deletion and mismatch of bases that may occur in the process of DNA replication or recombination., The system consists of a series of specific DNA mismatch repair enzymes, which usually depend on four key genes: MLH1, PMS2, MSH2 and MSH6. Germline depletion of MMR genes is the “gold standard” for the diagnosis of Lynch syndrome. Due to the functional inactivation of MMR genes, patients with Lynch syndrome often simultaneously show MSI-H status and MMR defects (dMMR), which are also shared by some tumors.

At present, it is recognized that dMMR/MSI-H is used as a prognostic factor for stage II colorectal cancer. For stage II colorectal cancer patients with the dMMR/MSI-H phenotype, grade 3/4 differentiation (low differentiation) is not considered a high-risk factor., Regarding ICB treatment, multiple clinical studies have shown that PD-1 antibodies can lead to survival benefits in patients with dMMR/MSI-H tumors., In May 2017, pembrolizumab was approved for solid tumor patients with MSI-H or dMMR who have progressed after previous treatment and have no satisfactory alternative treatment.,, In 2017 and 2018, the FDA successively approved the treatment of metastatic colorectal cancer patients with MSI-H or dMMR after treatment with fluorouracil, oxaliplatin and nivolumab alone or in combination with ipilimumab. Therefore, MSI-H and dMMR can be used as primary screening methods.

TMB

TMB refers to the total number of mutations, base substitutions, and insertion or deletion errors detected per million bases., A number of clinical studies have confirmed that patients with high TMB tumors are more likely to benefit from ICB treatment.– This correlation was found in tumors that generally have high immunogenicity, such as melanoma, urothelial cancer and NSCLC, as well as colorectal cancer, which has different degrees of immunogenicity between individuals. In the analyses of clinical and preclinical studies, TMB was also found to be associated with tumor T-cell infiltration and an “inflamed” TME and may be related to the high expression of immunoreactive neoantigens in these tumors.–

Neoantigens

Neoantigens are proteins that are specifically expressed only in tumor cells and can be recognized and killed by T cells of the immune system. During the development of tumor cells, nonsynonymous mutations change the amino acid coding sequence, causing tumor cells to express abnormal proteins in a tumor-specific manner. These proteins may also activate the immune system and lead to an attack by the immune system on tumor cells. These antigens from abnormal proteins that can be recognized by immune cells are neoantigens. Neoantigens have two major characteristics: first, they are unique to tumor cells and are not found in normal tissues or cells; second, these antigens should have corresponding TCRs that recognize them specifically.

Neoantigens can be ideal biomarkers for ICB if clearly defined as “immunogenic neoepitopes”, which will reflect the extent of tumor immunogenicity with more accuracy than MSI status, MMR status and TMB level, so if neoantigens that bind with high affinity to MHC can be produced, the possibility of an immune response will be higher. However, it remains challenging to validate the “quality” of neoantigens, which refers to their capability to elicit immune recognition and activation. Currently, neoantigens are mostly used to support other biomarkers. For example, melanomas with TMB>10 often produce neoantigens with high frequency and are sensitive to PD-1 inhibitors; in contrast, melanomas with TMB<1 are unlikely to generate neoantigens and are insensitive to PD-1 inhibitors. The direct utilization of neoantigens as biomarkers would rely on the development of assays and algorithms that can precisely detect both the quantity and quality of neoantigens within a tumor.

Circulating tumor DNA (ctDNA)

The DNA in the cell can sometimes dissociate into the blood, forming circulating DNA. ctDNAs are fragments derived from four sources: necrotic tumor cells, apoptotic tumor cells, circulating tumor cells, and exosomes secreted by tumor cells. By detecting gene mutations in blood ctDNA, we can understand the changes in tumor cells in the body in real time, thus providing a clinical basis for tumor treatment and prognosis., A research team from the Princess Margaret Cancer Center in Canada conducted a prospective phase II clinical trial in patients with 5 different types of advanced solid tumors who were treated with pembrolizumab. Analysis of the correlation between changes in ctDNA levels and immune efficacy after treatment revealed that ctDNA levels were associated with the clinical response to ICB. Another research group also proved that ctDNA could be a good biomarker for the immunotherapy response in different types of cancers. Therefore, ctDNA has the potential to become an easily accessible biomarker used for screening and prediction in a cost-effective manner.,

Biomarkers for CAR-T-cell therapy

Although the initial CR rate of CAR-T-cell therapy against B-cell leukemia can be as high as 90%, a significant proportion of patients develop tumor recurrence. Furthermore, not all patients with lymphoma or multiple myeloma achieved satisfactory response with CAR-T cell therapy, warranting the discovery of biomarkers that can help classify specific cohorts of patients who can benefit from this type of treatment. To date, no biomarkers have been utilized to guide the enrollment of patients, but some CAR-T cell intrinsic and extrinsic factors have shown intriguing correlations with the therapeutic response.,

Tumor antigen expression

The nature of CAR-T cells as a targeted therapy requires the expression of TAA on tumor cells to elicit T-cell activity, which is indeed the most critical biomarker for CAR-T cell efficacy. As tumor antigen escape is a major mechanism of tumor recurrence post CAR-T cell therapy, some studies have also revealed that downregulation, instead of complete loss of TAA, inhibits CAR-T cell function. While CAR-T cells can be designed to increase their sensitivity to low-level TAAs, the TAA expression density might become a predictive biomarker.

Product characteristics

The inconsistent quality of therapeutic products has been a major challenge of autologous CAR-T cell therapy. The starting materials from patients can be significantly altered by the many lines of prior treatment. As a result, the composition of T-cell subsets showed more variation across patients with tumors compared with healthy donors. Therefore, the difference in product quality is an important contributor to clinical outcomes. In 2018, Kite Pharma evaluated the polyfunctionality of their CAR-T-cell products, which reflects the capability to produce multiple cytokines at the single-cell level and correlates with the therapeutic effect against lymphoma. Some other studies profiled the phenotypes and transcriptomes of the infusion products, identifying a memory-like population enriched in the products that ultimately lead to superior responses. With ongoing validations in larger-scale studies, these product characteristics can be exploited as useful biomarkers to predict the clinical response before infusion.

Tumor vaccines

Preventive tumor vaccines can prevent the development of certain cancers, including the HPV vaccine against cervical cancer, vaginal cancer, vulvar cancer, anal cancer and condyloma acuminatum and the HBV vaccine to prevent liver cancer.– Therapeutic tumor vaccines involve the injection of tumor antigens in the form of free peptides or peptides loaded on APCs to activate immune cells to restore their autonomous antitumor ability. In preclinical models, therapeutic tumor vaccines have been confirmed to prevent cancer growth and metastasis and reduce relapse after the termination of other types of treatment.,, Tumor vaccines are mainly divided into the following four types: tumor whole-cell vaccines, genetically engineered vaccines, protein peptide vaccines, and dendritic cell vaccines.–

Dendritic cells (DCs) were first discovered by the Canadian scientist and 2011 Nobel Laureate Dr. Ralph M. Steinman. Dendritic cells are a heterogeneous group of innate immune cells with antigen-presenting functions and are considered the only immune cell type that can activate naive T cells. In the context of cancer, however, the number and vitality of DCs are not enough to trigger sufficient T-cell activation against malignant cells. Therefore, DCs can be isolated from cancer patients, primed and loaded with tumor antigens in vitro. The resulting dendritic cells express tumor antigens on their surface, and the activated DCs are then used to initiate an immune response, which is referred to as a “DC vaccine”., Unfortunately, DC isolation, priming, and antigen loading can be complex, time consuming, and labor intensive, which limits the capacity of DC vaccine application. However, the immune response elicited by tumor antigen-primed DCs is highly tumor-specific with limited side effects., Dr. Ralph M. Steinman also benefited from the DC vaccine, which extended his lifespan from an expected few months to four and a half years with refractory pancreatic cancer. On 29 April 2010, the US FDA approved a therapeutic tumor vaccine, sipuleucel-T from Dendreon, for treating advanced prostate cancer., With the continuous progress of science and technology, a variety of tumor vaccines have gradually entered the clinic.

Neoantigens and immunotherapy

Neoantigens are protein fragments present on cancer cells, offering a novel way to achieve cancer cell-specific targeting. Neoantigen vaccines are individualized based on a patient's specific tumor profile. Interest in the field has grown since the first human clinical trials using the neoantigen vaccine began in 2015., Despite subtle differences between platforms, the general steps of making neoantigen vaccines are mostly conserved; they include (1) tumor biopsy, in which tumor samples are taken from patients for genomic purification; (2) whole-exome sequencing of tumor cells and normal cells, which allows researchers to search for unique mutations in tumor cells; (3) prediction and selection of specific neoantigens as targets; and (4) development of personalized vaccines, which is based on predicted neoantigens and can be achieved using various approaches, including peptides, mRNA and DCs.– The most critical and challenging step has been the identification of patient-specific neoantigens. While some platforms are focused on developing predictive algorithms to achieve greater accuracy, others use in silico prediction together with functional tests to ensure that the neoantigen indeed triggers immune cell activation. While the latter enables the validation of targets, it can be extremely time-consuming and expensive. Technical advances are therefore warranted before the application of neoantigen vaccines to larger-scale clinical studies.

Oncolytic virus

Cancer patients with additional virus infection often experience worsening disease., However, viruses can also be modified to specifically target cancer cells. These “oncolytic viruses” are generated by genome editing and large-scale screenings, the readout of which includes the lysis ability against cancer cells while sparing normal cells. The resulting oncolytic virus candidates can replicate and subsequently lyse tumor cells, which releases more viral particles into the tumor sites., Therefore, a small dose of virus can be expanded in vivo. Talimogene laherparepvec (OncoVex, T-VEC) is an oncolytic virus agent approved by the FDA for use in melanoma in 2015., T-VEC is a type I herpes simplex virus and is an oncolytic immunotherapy preparation based on herpes simplex virus. Herpes simplex virus is genetically edited to help the virus evade the immune system, allowing the modified virus to replicate in cancer cells in a targeted manner. On the one hand, it can directly lyse cancer cells, and on the other hand, it can activate the human immune system by releasing antigens inside the tumor and priming “bystander” immune cells.

Oncolytic virus therapy has demonstrated great potential in combination with other types of cancer immunotherapy. With their capability to mediate tumor antigen spread, oncolytic viruses can lead to an increase in lymphocytes infiltrating the tumors, which enhances the antitumor efficacy of ICB treatment. Another approach is to use oncolytic viruses as delivery vehicles in combination with cellular immunotherapy. With additional genetic engineering, the cytolytic function of the viruses can be suppressed while allowing for the expression of synthetic molecules (i.e., truncated CD19 as a CAR-T cell target). Combining these viruses with CD19-targeted CAR-T cell therapy can thus achieve homogenous expression of TAA and overcome the challenge of tumor antigen escape.

Macrophages

These “soldiers” of the innate immune system remove damaged, senescent, and dangerous cells, but in cancer, macrophages facilitate their immune escape and have become an important field of drug development. While early researchers developed treatments by modulating the interactions between tumor cells and macrophages, this complex field of biology has been rewritten, and the application of macrophage therapy has slowed. The great progress of genetic engineering provides a greater possibility to use synthetic biology to redirect macrophages to fight tumors., Several researchers from Carisma Therapeutics in the United States and the University of Pennsylvania published a review titled “Macrophage-based approaches for cancer immunotherapy” in cancer research, outlining the progress made in macrophage immunotherapy and the impact of chimeric antigens. The rise of somatic macrophage therapy.,

Macrophages in cancer

Macrophages have a variety of functions, including removing cellular debris and pathogens and regulating inflammatory responses. Macrophages are also highly plastic cells that can switch from one phenotype to another depending on microenvironmental stimuli and signals. The activation state of macrophages is usually divided into two categories: M1-type macrophages and M2-type macrophages (Fig. 8).

Certain M2 macrophage subsets are involved in promoting tumor progression and mediating immune suppression. Mechanistically, it has been found that tumors recruit monocytes and macrophages to the TME and polarize them to the M2-like phenotype. The central goal of macrophage-targeted cancer therapy is to reprogram tumor-associated macrophages (TAMs) into the proinflammatory (antitumor) subtype, which can be achieved in two ways: reducing the number of M2-like TAMs and/or restoring the antitumor function of TAMs within the TME. Advances in technology, such as single-cell sequencing, have allowed researchers to see different macrophage subsets with multiple complex biological functions in different TMEs and gain a deeper understanding of the relationship between macrophages and tumor immunotherapy.

Inhibitory and stimulatory molecules on TAMs

The most established approach to target TAMs is the blockade of the colony-stimulating factor-1 (CSF-1, also known as the M-CSF)/CSF1R axis. This approach reduces the number of TAMs, which can also be associated with the repolarization of TAMs toward the M1 phenotype. However, the leading CSF1R inhibitor, cabiralizumab from Five Prime Therapeutics, did not show promising clinical responses in a series of clinical trials, indicating that the potency of CSF1R inhibition needs to be revisited.

The tumorigenic function of TAMs can also be mediated by TGF-β, an anti-inflammatory molecule normally expressed by macrophages during injury repair. Blockade of TGF-β and concurrent treatment with a STING agonist in a mouse model resulted in tumor regression by upregulating the expression of type I interferons.,

Toll-like receptors (TLRs) are involved in innate immune sensing. TLR agonists can increase monocyte recruitment/infiltration and induce macrophage repolarization toward the proinflammatory phenotype. TAMs also express CD40, and CD40 agonists can prevent tumor growth and attenuate drug resistance.,

These inhibitory (CSF1R, TGF-β) and stimulatory (TLRs, CD40) molecules can all be exploited as targets to restore the proinflammatory function of TAMs. However, the TME is composed of numerous immunosuppressive cells with functional redundancy, which may result in the clinical observation that targeting a single cell type will not lead to sufficient TME alterations to eradicate tumors.

CD47

CD47, also known as integrin-related protein, belongs to the immunoglobulin superfamily, which regulates cell proliferation, migration and apoptosis by binding to signal regulatory protein α (SIRPα) on the surface of macrophages or dendritic cells. CD47 is overexpressed on the surface of most tumor cells as a “do not eat me” signal that escapes phagocytosis by macrophages. Blocking the CD47/SIRPα pathway can induce the phagocytotic function of macrophages to target tumors, which was demonstrated in mouse xenograft models.

Forty Seven was the company that developed the first-in-class CD47 antibodies. After its acquisition by Gilead Sciences, a phase Ib clinical study of the CD47 antibody magrolimab (Hu5F9-G4) was launched. The results showed that magrolimab combined with azacitidine in patients with myelodysplastic syndrome (MDS) reached an overall response rate of 92%. In addition, another clinical study showed that magrolimab combined with rituximab resulted in an overall response rate of 90% in lymphoma patients. These results have led to many additional drug candidates targeting the CD47/SIRPα pathway, such as TTI-621/622, ALX148, and OSE-172 (Table 3).

TTI-621/622 are two CD47 inhibitors developed by Trillium Co.; they are SIRPa-Fc fusion proteins coupled with IgG1 and IgG4, respectively. IgG4 showed slightly weaker binding to Fc receptors on immune cells, which may compromise the potency but enhance protection against CD47-expressing nontumor cells. was developed by ALX Oncology and contains two SIRPα high-affinity CD47 binding domains linked to the inactive Fc domain of human immunoglobulins. Its Fc domain has been reengineered to inhibit Fcγ receptors. ALX148 is in phase I studies in patients with solid tumors and lymphomas in combination with a variety of chemotherapy agents. OSE-172 is a monoclonal antibody developed by OSE Immunotherapeutics that targets SIRP-α. In addition, it was designed not to bind with SIRP-γ, which plays a role in the migration of T cells in tissues. Therefore, this antibody will not inhibit the infiltration of T cells. OSE-172 is currently being tested in a phase I clinical study. In addition to single-drug applications, bifunctional antibodies with CD47/PD-L1, CD47/VEGF and other targets are under development, and we look forward to more studies to bring us more surprising drugs.,

Despite the clinical efficacy, the toxicity of CD47-targeted treatment cannot be ignored. CD47 is ubiquitously expressed on blood cells, which significantly compromises tumor specificity. The clinical study of magrolimab found that the number of red blood cells, hematocrit and hemoglobin decreased on the 2nd day of application of the drug and dropped to the lowest point on the 5th to 7th day. Although it was claimed that such a level of anemia can be relieved by supportive care and blood counts can return to normal within 2–3 weeks, prevention of anemia has been the key focus of toxicity management after anti-CD47 therapy. Magrolimab uses IgG4 for its Fc fragment to avoid excessive killing of red blood cells and has been applied in a low-dose induction manner during clinical application. When a low dose of antibody was given, mild anemia was induced, which subsequently accelerated hematopoiesis in the bone marrow, with the hope of inducing resistance to higher doses of medication. The clinical safety of this approach remains to be investigated in larger cohorts of patients.

Additional “do not eat me” signals may contribute to the acquired resistance of anti-CD47 therapy, and new targets for macrophages continue to emerge. CD24 is another “do not eat me” signaling molecule that is overexpressed in several types of human cancers, and its receptor Siglec-10 is expressed on TAMs. CD24 and other molecules with similar functions are emerging as new targets for reprogramming TAMs for immunotherapy.

Engineering macrophages

Macrophages have a long history of being exploited in ACT. In the late 1980s, Andreesen's group in Germany enrolled 15 patients. Monocytes were harvested from the patients, cultured in autologous serum for seven days, and “educated” with IFN-γ to differentiate into M1-like macrophages. Of the seven patients with peritoneal carcinoma, ascites disappeared in two of the seven patients who received intraperitoneal macrophage injection. Crucially, other than low-grade fever and abdominal discomfort after intraperitoneal injection, no other side effects were reported. These nonengineered, IFN-γ-activated macrophages have been considered a clinically safe agent but have limited efficacy. One of the main underlying reasons is that in the absence of tumor specificity, an IFN-γ-stimulated M1 phenotype can easily transform into the M2 phenotype in the TME. These challenges suggest that the development of macrophage therapy requires the addition of targeted activating receptors and a more durable approach to M1 macrophage polarization.

To solve these problems, the use of genetic modification to enhance the antitumor ability of macrophages has gradually attracted more attention. One straightforward strategy is the depletion of inhibitory signals such as SIRPα. The antitumor efficacy of SIRPα-depleted macrophages has been preliminarily shown in combination with radiotherapy. Another approach is to engineer macrophages to express CARs (CAR-Ms) (Fig. 9). The first challenge of CAR-M generation is the difficulty of transducing macrophages. In 2016, it was reported that the chimeric adenoviral vector efficiently transduced macrophages. The resulting CAR-Ms, generated with the Ad5f35 vector, eliminated tumor cells more efficiently than macrophages with M1-oriented differentiation. CAR-Ms also induced proinflammatory features of the surrounding TME. The presence of M2 macrophages did not affect the tumor-killing ability of CAR-M cells, highlighting their resistance to TME immunosuppression. In addition, CAR-Ms exhibited a stronger T-cell-stimulating ability and were able to present antigens to T cells after phagocytosis, recruiting resting and activated T cells to tumors.

As part of the innate immune response, macrophages can also be applied in an allogeneic manner; therefore, CAR-Ms have advantages as readily available products. Recent studies have also generated CAR-Ms from induced pluripotent stem cells, which can be further exploited to generate CAR-M banks as “off-the-shelf” products. CAR-Ms can also be combined with other macrophage-targeted therapies, such as anti-CD47.,

Targeting myeloid-derived suppressor cells (MDSCs)

MDSCs originate from hematopoietic stem cells (HSCs) as a result of altered myelopoiesis. This transient myelopoiesis is terminated after the stimulus is removed, and myeloid cell homeostasis is then restored. However, in chronic inflammation, cancer, and autoimmune diseases, persistent myelopoiesis may occur to prevent widespread tissue damage of the host, constantly generating IMCs. These cells have distinct characteristics, such as immature phenotype and morphology, relatively weak phagocytic function, and anti-inflammatory and immunosuppressive functions, matching their descriptive name.

In the 1970s, it was found that abnormal myeloid cells had inhibitory effects on other immune cells. After that, the surface markers Gr-1 and CD11b were adopted to define these immunosuppressive myeloid cells, especially in tumor-bearing mice. In humans, these myeloid cells are phenotypically characterized by the expression of CD34, CD14 and CD15 and functionally characterized by their ability to suppress T-cell activation. The term MDSCs indeed refers to a group of heterogeneous cells, which can be roughly divided into granulocytic (G-MDSCs or PMN-MDSCs) and monocytic (M-MDSCs) subtypes. Recent studies using single-cell profiling have uncovered the complexity of MDSC populations, which may differ between disease conditions and even individuals. Accumulating evidence indicates that the presence of MDSCs is one of the basic characteristics of tumor progression.

MDSCs have been believed to be one of the most critical obstacles against effective cancer immunotherapy, which has also inspired research into therapeutic strategies targeting these cells. MDSCs exert multiple functions to influence T cells, Treg cells, DC cells and NK cells (Fig. 10). In the early 2000s, before the term MDSC was generated, vitamin D and all-trans retinoic acid (ATRA) were shown to reduce immature myeloid cells in patients with head and neck squamous cell carcinoma and metastatic renal cell carcinoma, respectively. Currently, MDSC-targeted therapy can be broadly classified into five types: (i) therapies that inhibit the expansion and recruitment of MDSCs; (ii) therapies that restore normal myeloid differentiation; (iii) therapies that target the IC molecules on MDSCs; (iv) therapies that block the inhibitory molecules secreted from MDSCs; and (v) therapies that directly deplete MDSCs., Since the enrichment and activation of MDSCs appear to be universal features of different malignancies, targeting these cells may have broader application potential. It is also intriguing to combine MDSC-targeted therapy with existing chemotherapy or immunotherapy agents, which have early evidence of clinical responses.,

Tumor-associated B cells (TABs)

B cells, which are responsible for antibody production, have long been overlooked for their functions in tumor immunity. However, a recent study showed that similar to macrophages, B cells in the context of tumors, named TABs, display both pro- and anti-inflammatory functions, and the abundance of anti-inflammatory B cells is correlated with the resistance of melanoma to ICB treatment. However, there are not yet strategies to specifically deplete anti-inflammatory TABs. As proinflammatory TABs can attract effector T cells to tumors, depletion of all TABs has been believed to reduce, rather than induce, the antitumor immune response. TABs are enriched in tertiary lymphoid-tissue structures (TLSs) within tumor tissues, where they can be activated to recognize cancer cells. NSCLC patients with high levels of B cells within TLSs in their tumors were more likely to respond well to immunotherapy. It is still only partially understood how the numbers and characteristics of TABs differ across different tumor types. How B cells can be reprogrammed by tumors to inhibit T-cell activation is another topic that requires in-depth investigation.

Engineering B cells

As they have the capacity of antibody production, B cells can be upgraded into “biofactories”. Immusoft developed the Immune System Programming (ISP) platform, which can engineer B cells and differentiate them into plasma cells for ACT. The cells will efficiently secrete tens of thousands of personalized antibodies, enabling sustained delivery of therapeutic proteins., Walking Fish Therapeutics is another company focused on B cells, aiming to develop B-cell therapies for cancer, rare diseases, and autoimmune diseases, as well as regenerative therapies and recombinant antibodies.

IDO

IDO is a tryptophan-metabolizing enzyme that can convert tryptophan to kynurenine and is overexpressed in multiple types of tumors. The tumor suppressor gene BIN1 negatively regulates the expression of IDO. In mouse models, the depletion of BIN1 has been confirmed to induce IDO expression and immune suppression in tumors. IDO can enhance the motility of cancer cells and inhibit the proliferation and function of tumor-targeting T cells. Mouse xenograft models show that treatment with IDO inhibitors can significantly increase the level of T cells and have a significant tumor-suppressive effect. IDO-targeted drugs have shown efficacy as monotherapies in preclinical models but can be more effective in combination with ICBs targeting CTLA-4 or PD-1/PD-L1.–

There are mainly four small molecule inhibitors targeting IDO that are currently undergoing clinical research: indoximod, navoximod, epacadostat and BMS-986205. In the reported phase I study of epacadostat, 52 patients with advanced solid tumors were enrolled. Unfortunately, no objective response was observed, but seven patients had stable disease for more than 16 weeks. In another phase I/II clinical study, epacadostat was combined with pembrolizumab, and a total of 54 patients with solid tumors were included. The overall response rate was 57%. However, an ECHO-301 clinical study suggested that epacadostat combined with pembrolizumab did not improve PFS in patients with advanced melanoma. Currently, a number of phase III clinical studies of epacadostat were closed without a satisfactory outcome, which also resulted in the termination of phase III clinical studies of BMS-986205 and indoximod. The enrolled patients were not stratified based on IDO1 expression levels, which may lead to the underestimation of efficacy. However, these terminated clinical studies indicate a lack of understanding of the underlying mechanism between IDO and various immune cells. IDO inhibitors have been combined with anti-CTLA-4, chemotherapy and other ICs. More types of drugs and larger clinical studies of inhibitors are underway, and the collection of more data will reveal the true antitumor effect of IDO-targeted drugs.

IL-41

To explain the limited clinical efficacy of IDO inhibitors, some researchers hypothesized that there may be other activation pathways for aryl hydrocarbon receptors. From an analysis of 32 different types of tumors from the TCGA database, it was discovered that tumors with high expression of IDO1 or IDO2 also had high levels of aryl hydrocarbon receptors. A more in-depth study identified IL-41 with the highest occurrence rate among the aryl hydrocarbon receptor-related modules. IL-41 was later proven to enhance tumor aggressiveness and suppress antitumor immunity. Targeting IL-41 may be a new avenue of immunotherapy, as demonstrated in preclinical models, which needs to be validated in clinical studies.

Adenosine

Adenosine is an essential component of RNA synthesis. However, adenosine has also been shown to inhibit T-cell functions in the TME. CD39 is an enzyme involved in extracellular adenosine production and is highly expressed in various human tumors.– Some tumor cells exhibited CD39 overexpression compared to normal cells. Moreover, multiple cell types with elevated CD39 expression levels in the TME are vascular endothelial cells, fibroblasts, and some immune cells.,,, CD39 has been found to play an important role in a variety of immune cells. In macrophages, CD39 acts as a “molecular rheostat” that controls inflammation and regulates the balance between macrophage differentiation.– In Treg cells, CD39 enhanced immunosuppressive activity. CD39 expression in MDSCs is positively correlated with NSCLC tumor stage, but its function remains unknown. Due to its important role in the TME, CD39 has become an emerging target for researchers to develop tumor immunotherapy., In vivo and in vitro data suggest that targeting CD39 sensitizes tumors to PD-1/PD-L1 ICB treatment. Therefore, CD39 therapy combination with ICB might become a new type of tumor immunotherapy.,

Conclusion and perspectives

Immunotherapy has become the “fourth bullet” of antitumor treatment following surgery, chemotherapy and radiotherapy. Here, we introduced the history as well as the different classifications of immunotherapy. Early studies to dissect the immune system have allowed the utilization of specific cells to achieve antitumor immunity. The clinical success of ICB and CAR-T cell therapy has revealed the potential that the “edited” immune system in patients with tumors can be “reprogrammed” to fight against malignant cells, which has been further highlighted by many ongoing preclinical and clinical studies targeting almost every type of immune cell.

Despite great success in the clinic, tumor immunotherapy is facing challenges including toxicity control and a low response rate. Although adverse events associated with immunotherapy may indicate the activation of the immune system, severe toxicity is sometimes lethal. Therefore, toxicity control of immunotherapy is not expected to compromise the therapeutic benefit, which is reminiscent of the efforts in controlling GvHD in allogeneic bone marrow transplantation while maintaining the graft-versus-leukemia effect. Moreover, immunotherapy is able to mediate long-term disease-free survival in some patients, but extending the therapeutic potency to more individuals is another barrier against its broader application.

With all emerging novel checkpoint inhibitors and different novel technologies, there is always one critical question for cancer immunotherapy: do patients respond or not respond? It is important to have good biomarkers to predict the response, and it is also important to seek a clinical strategy to improve the clinical response rate.

With a deeper understanding of the mechanisms underlying every type of therapeutic agent, there is also the potential of combinational treatment with chemotherapy, radiation or other types of immunotherapies. PD-1 (PD-L1). Only a small proportion of cancer patients have high TMB and other clinical biomarkers; therefore, the population for clinical application is very limited. Moreover, the therapeutic effect is sometimes not as good as expected. It has been confirmed that the response rate of immune drug monotherapy is low, only 10–30% in most solid tumors. Based on the response limitations, immune combination therapy has become a new research hot spot, and the combined use with other therapies can improve the efficacy and expand the beneficiary population. Combination therapy can expand the indications and applicable population of immunotherapy and effectively improve drug efficacy. To date, the FDA has approved four PD-1/PD-L1 drug combination therapies. An increasing number of combined immunotherapies are expected to be approved in the future, and combined immunotherapies are becoming conventional treatments in the clinic.

Another challenge of tumor immunotherapy is the lack of biomarkers to predict the immunotherapy response. Tumor immunotherapy has achieved remarkable success. However, it is very important to screen groups that may benefit from treatment, predict drug efficacy, and guide clinical treatment. The selection of biomarkers has become the key factor for immunotherapy treatment. The detection of molecular biomarkers such as PD-L1, TMB, MSI, and gene mutation has been widely used, but it is well known that these biomarkers are not good enough to guide clinical decision making, and factors such as cancer type, tumor heterogeneity, and dynamic changes in tumors will affect the accuracy and specificity. Some patients who may benefit from treatment will be missed by these methods, while some patients with high PD-L1 expression and TMB-H are not sensitive to immunotherapy at all. Therefore, a better understanding of the mechanism of cancer immunotherapy, improving existing biomarkers, and developing new tumor markers are important future directions of immunotherapy. Studies have shown that the TME is also an important factor affecting the effect of immunotherapy. According to the degree of infiltration, tumors can be divided into different types. Generally, tumors with a high level of immune cell infiltration (“hot” tumors) are more likely to respond to immunotherapy, while “cold” tumors generally need to be transformed into hot tumors through treatment. New biomarker systems integrating the results of immune profiling, clinical history and tumor biology are being developed with the hope of predicting therapeutic outcomes before the application of immunotherapy.

Novel technologies are emerging to solve these clinical problems. New strategies, such as CRISPR-mediated screening and cell engineering, enable the identification and targeting of specific genes that sensitize tumor cells to immunotherapy or potentiate immune cells for sustained tumor-targeting capability. Neoantigen identification and TCR-T cells have also brought new hope for immunotherapy of certain types of cancer that are not sensitive to checkpoint inhibitors and CAR-T cells. Other novel technologies, such as TIL therapy, DC-based therapy and CAR-NK cell therapy, are also making ground-breaking progress, and products could be expected in clinical application very soon.

Overall, a combination of solid research on tumor immunology and advanced technology for manipulating immune cells will shed light on the future development of cancer immunotherapy. The advancement of cancer immunotherapy calls for more integrated clinical and basic research programs, which will then allow for the analyses of unmet clinical needs in a comprehensive manner and subsequent guidance of research directions.

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    Ishida Y, Agata Y, Shibahara K, Honjo T. Induced expression of Pd-1, a novel member of the immunoglobulin gene superfamily, upon programmed cell death. Embo J. 1992;11:3887-3895.

    Not in our library10.1002/j.1460-2075.1992.tb05481.x

  36. 36.

    Nishimura H, et al. Development of lupus-like autoimmune diseases by disruption of the Pd-1 gene encoding an itim motif-carrying immunoreceptor. Immunity. 1999;11:141-151.

    Not in our library10.1016/s1074-7613(00)80089-8

  37. 37.

    Dong H, Zhu G, Tamada K, Chen L. B7-H1, a third member of the B7 family, co-Stimulates T-cell proliferation and interleukin-10 secretion. Nat. Med. 1999;5:1365-1369.

    Not in our library10.1038/70932

  38. 38.

    Dong H, et al. Tumor-associated B7-H1 promotes T-cell apoptosis: a potential mechanism of immune evasion. Nat. Med. 2002;8:793-800.

    Not in our library10.1038/nm730

  39. 39.

    Freeman GJ, et al. Engagement of the Pd-1 immunoinhibitory receptor by a novel B7 Family Member Leads to Negative Regulation of Lymphocyte Activation. J. Exp. Med. 2000;192:1027-1034.

    Not in our library10.1084/jem.192.7.1027

  40. 40.

    Okazaki T, Honjo T. Pd-1 and Pd-1 ligands: from discovery to clinical application. Int. Immunol. 2007;19:813-824.

    Not in our library10.1093/intimm/dxm057

  41. 41.

    Latchman Y, et al. Pd-L2 is a second ligand for Pd-1 and inhibits T cell activation. Nat. Immunol. 2001;2:261-268.

    Not in our library10.1038/85330

  42. 42.

    Smith KM, Desai J. Nivolumab for the Treatment of Colorectal Cancer. Expert Rev. Anticancer Ther. 2018;18:611-618.

    Not in our library10.1080/14737140.2018.1480942

  43. 43.

    Khasraw M, Reardon DA, Weller M, Sampson JH. Pd-1 Inhibitors: do they have a future in the treatment of glioblastoma? Clin. Cancer Res. 2020;26:5287-5296.

    Not in our library10.1158/1078-0432.ccr-20-1135

  44. 44.

    Rossi C, Casasnovas RO. Pd-1 inhibitors in patients with hodgkin lymphoma. Eur. J. Cancer. 2022;164:114-116.

    Not in our library10.1016/j.ejca.2021.06.059

  45. 45.

    Seki M, et al. Inflammatory myopathy associated with Pd-1 inhibitors. J. Autoimmun. 2019;100:105-113.

    Not in our library10.1016/j.jaut.2019.03.005

  46. 46.

    Henry L, et al. Pd-1 inhibitors in metastatic colorectal cancer. Anz. J. Surg. 2021;91:E758-E759.

    Not in our library10.1111/ans.16878

  47. 47.

    Weiden PL, et al. Antileukemic effect of graft-versus-host disease in human recipients of allogeneic-marrow grafts. N. Engl. J. Med. 1979;300:1068-1073.

    Not in our library10.1056/nejm197905103001902

  48. 48.

    Gross G, Waks T, Eshhar Z. Expression of immunoglobulin-T-cell receptor chimeric molecules as functional receptors with antibody-type specificity. Proc. Natl Acad. Sci. USA. 1989;86:10024-10028.

    Not in our library10.1073/pnas.86.24.10024

  49. 49.

    Maher J, et al. Human T-lymphocyte cytotoxicity and proliferation directed by a single chimeric Tcrzeta /Cd28 receptor. Nat. Biotechnol. 2002;20:70-75.

    Not in our library10.1038/nbt0102-70

  50. 50.

    Porter DL, et al. Chimeric antigen receptor-modified T cells in chronic lymphoid leukemia. N. Engl. J. Med. 2011;365:725-733.

    Not in our library10.1056/nejmoa1103849

  51. 51.

    Weber EW, Maus MV, Mackall CL. The emerging landscape of immune cell therapies. Cell. 2020;181:46-62.

    Not in our library10.1016/j.cell.2020.03.001

  52. 52.

    He X, et al. Bispecific and split Car T cells targeting Cd13 and Tim3 eradicate acute myeloid leukemia. Blood. 2020;135:713-723.

    Not in our library10.1182/blood.2019002779

  53. 53.

    Myers GD, Verneris MR, Goy A, Maziarz RT. Perspectives on outpatient administration of Car-T cell therapy in aggressive B-cell lymphoma and acute lymphoblastic leukemia. J. Immunother. Cancer. 2021;9:e002056.

    Not in our library10.1136/jitc-2020-002056

  54. 54.

    Soltantoyeh T, et al. Chimeric antigen receptor (Car) T cell therapy for metastatic melanoma: challenges and road ahead. Cells. 2021;10:1450.

    Not in our library10.3390/cells10061450

  55. 55.

    Cobb DA, et al. Targeting of the alphav beta3 integrin complex by Car-T cells leads to rapid regression of diffuse intrinsic pontine glioma and glioblastoma. J. Immunother. Cancer. 2022;10:e003816.

    Not in our library10.1136/jitc-2021-003816

  56. 56.

    Majzner RG, Mackall CL. Tumor antigen escape from Car T-cell therapy. Cancer Disco. 2018;8:1219-1226.

    Not in our library10.1158/2159-8290.cd-18-0442

  57. 57.

    Parker KR, et al. Single-cell analyses identify brain mural cells expressing Cd19 as potential off-tumor targets for Car-T immunotherapies. Cell. 2020;183:126-142.

    Not in our library10.1016/j.cell.2020.08.022

  58. 58.

    Brown CE, et al. Regression of glioblastoma after chimeric antigen receptor T-cell therapy. N. Engl. J. Med. 2016;375:2561-2569.

    Not in our library10.1056/nejmoa1610497

  59. 59.

    Dunn GP, Koebel CM, Schreiber RD. Interferons, immunity and cancer immunoediting. Nat. Rev. Immunol. 2006;6:836-848.

    Not in our library10.1038/nri1961

  60. 60.

    Xie W, et al. PD-1/PD-L1 Pathway and Its Blockade in Patients with Classic Hodgkin Lymphoma and Non-Hodgkin Large-Cell Lymphomas. Curr. Hematol. Malig. Rep. 2020;4:372-381.

    Not in our library10.1007/s11899-020-00589-y

  61. 61.

    Yu H, et al. Efficacy and safety of Pd-L1 inhibitors versus Pd-1 inhibitors in first-line treatment with chemotherapy for extensive-stage small-cell lung cancer. Cancer Immunol. Immunother. 2022;71:637-644.

    Not in our library10.1007/s00262-021-03017-z

  62. 62.

    Whooley, J. et al. Pd-1 Inhibitors in Esophageal Cancer: A Systematic Review of the Oncological Outcomes Associated with Pd-1 Blockade and the Evolving Therapeutic Paradigm. Dis Esophagus. 35, doab063 (2022).

    Not in our library10.1093/dote/doab063

  63. 63.

    Li B, Chan HL, Chen P. Immune checkpoint inhibitors: basics and challenges. Curr. Med. Chem. 2019;26:3009-3025.

    Not in our library10.2174/0929867324666170804143706

  64. 64.
  65. 65.
  66. 66.

    de Miguel M, Calvo E. Clinical challenges of immune checkpoint inhibitors. Cancer Cell. 2020;38:326-333.

    Not in our library10.1016/j.ccell.2020.07.004

  67. 67.

    Johnson DB, Sullivan RJ, Menzies AM. Immune Checkpoint inhibitors in challenging populations. Cancer-Am. Cancer Soc. 2017;123:1904-1911.

    Not in our library10.1002/cncr.30642

  68. 68.

    Tian Y, Abu-Sbeih H, Wang Y. Immune checkpoint inhibitors-induced hepatitis. Adv. Exp. Med. Biol. 2018;995:159-164.

    Not in our library10.1007/978-3-030-02505-2_8

  69. 69.

    Haanen JB, Robert C. Immune checkpoint inhibitors. Prog. Tumor Res. 2015;42:55-66.

    Not in our library10.1159/000437178

  70. 70.

    Postow MA, Callahan MK, Wolchok JD. Immune checkpoint blockade in cancer therapy. J. Clin. Oncol. 2015;33:1974-1982.

    Not in our library10.1200/jco.2014.59.4358

  71. 71.

    Abril-Rodriguez G, Ribas A. Snapshot: immune checkpoint inhibitors. Cancer Cell. 2017;31:848.

    Not in our library10.1016/j.ccell.2017.05.010

  72. 72.

    Venkatachalam S, McFarland TR, Agarwal N, Swami U. Immune checkpoint inhibitors in prostate cancer. Cancers. 2021;13:2187.

    Not in our library10.3390/cancers13092187

  73. 73.

    Kroemer G, Zitvogel L. Immune checkpoint inhibitors. J. Exp. Med. 2021;218:e20201979.

    Not in our library10.1084/jem.20201979

  74. 74.

    Hui E. Immune checkpoint inhibitors. J. Cell Biol. 2019;218:740-741.

    Not in our library10.1083/jcb.201810035

  75. 75.

    Deczkowska A, Amit I, Schwartz M. Microglial immune checkpoint mechanisms. Nat. Neurosci. 2018;21:779-786.

    Not in our library10.1038/s41593-018-0145-x

  76. 76.
  77. 77.
  78. 78.

    Andrews LP, Yano H, Vignali D. Inhibitory receptors and ligands beyond Pd-1, Pd-L1 and Ctla-4: breakthroughs or backups. Nat. Immunol. 2019;20:1425-1434.

    Not in our library10.1038/s41590-019-0512-0

  79. 79.

    Hong Y, Ding ZY. Pd-1 inhibitors in the advanced esophageal cancer. Front. Pharm. 2019;10:1418.

    Not in our library10.3389/fphar.2019.01418

  80. 80.

    Annibali O, et al. Pd-1 /Pd-L1 checkpoint in hematological malignancies. Leuk. Res. 2018;67:45-55.

    Not in our library10.1016/j.leukres.2018.01.014

  81. 81.

    Curran CS, Kopp JB. Pd-1 immunobiology in glomerulonephritis and renal cell carcinoma. Bmc Nephrol. 2021;22:80.

    Not in our library10.1186/s12882-021-02257-6

  82. 82.
  83. 83.

    Olson DJ, et al. Pembrolizumab plus ipilimumab following anti-Pd-1/L1 failure in melanoma. J. Clin. Oncol. 2021;39:2647-2655.

    Not in our library10.1200/jco.21.00079

  84. 84.

    Verma V, et al. Pd-1 blockade in subprimed Cd8 cells induces dysfunctional Pd-1(+)Cd38(Hi) cells and anti-Pd-1 resistance. Nat. Immunol. 2019;20:1231-1243.

    Not in our library10.1038/s41590-019-0441-y

  85. 85.

    Zhang S, Li W. Pd-1 inhibitors for urothelial cancer: combination or sequential therapy? Lancet. 2021;396:1977.

    Not in our library10.1016/s0140-6736(20)32672-6

  86. 86.

    Raj N, et al. Pd-1 blockade in advanced adrenocortical carcinoma. J. Clin. Oncol. 2020;38:71-80.

    Not in our library10.1200/jco.19.01586

  87. 87.
  88. 88.

    Xu-Monette ZY, Zhou J, Young KH. Pd-1 expression and clinical Pd-1 blockade in B-cell lymphomas. Blood. 2018;131:68-83.

    Not in our library10.1182/blood-2017-07-740993

  89. 89.

    Kumagai S, et al. The Pd-1 Expression Balance Between Effector and Regulatory T Cells Predicts the Clinical Efficacy of Pd-1 Blockade Therapies. Nat. Immunol. 2020;21:1346-1358.

    Not in our library10.1038/s41590-020-0769-3

  90. 90.

    Chamoto K, Al-Habsi M, Honjo T. Role of Pd-1 in immunity and diseases. Curr. Top. Microbiol. Immunol. 2017;410:75-97.

    Not in our library10.1007/82_2017_67

  91. 91.

    Jin HT, Ahmed R, Okazaki T. Role of Pd-1 in regulating T-cell immunity. Curr. Top. Microbiol. Immunol. 2011;350:17-37.

    Not in our library10.1007/82_2010_116

  92. 92.

    Yarchoan M, Hopkins A, Jaffee EM. Tumor mutational burden and response rate to Pd-1 inhibition. N. Engl. J. Med. 2017;377:2500-2501.

    Not in our library10.1056/nejmc1713444

  93. 93.

    Nie M, et al. Pd-1/Pd-L pathway potentially involved in Itp immunopathogenesis. Thromb. Haemost. 2019;119:758-765.

    Not in our library10.1055/s-0039-1679909

  94. 94.

    Tobias J, Steinberger P, Drinic M, Wiedermann U. Emerging targets for anticancer vaccination: Pd-1. ESMO Open. 2021;6:100278.

    Not in our library10.1016/j.esmoop.2021.100278

  95. 95.

    Yu X, Gao R, Li Y, Zeng C. Regulation of Pd-1 in T cells for cancer immunotherapy. Eur. J. Pharmacol. 2020;881:173240.

    Not in our library10.1016/j.ejphar.2020.173240

  96. 96.

    Wolchok JD. Pd-1 blockers. Cell. 2015;162:937.

    Not in our library10.1016/j.cell.2015.07.045

  97. 97.

    Leake I. Pd-1 inhibitors for oesophageal cancer. Nat. Rev. Gastroenterol. Hepatol. 2019;16:706.

    Not in our library10.1038/s41575-019-0237-4

  98. 98.

    Hill M, et al. The paradoxical roles of inflammation during Pd-1 blockade in cancer. Trends Immunol. 2020;41:982-993.

    Not in our library10.1016/j.it.2020.09.003

  99. 99.

    Dong Y, et al. Pd-1 blockade prevents the progression of oral carcinogenesis. Carcinogenesis. 2021;42:891-902.

    Not in our library10.1093/carcin/bgab035

  100. 100.

    Barroso-Sousa R, Ott PA. Pd-1 inhibitors in endometrial cancer. Oncotarget. 2017;8:106169-106170.

    Not in our library10.18632/oncotarget.22583

  101. 101.

    Vicki Brower. Programmed death protein 1 inhibitors making inroads in multiple cancers. J. Natl Cancer Inst. 2015;5:djv141.

    Not in our library10.1093/jnci/djv141

  102. 102.

    Geng Y, et al. Effect of Pd-1 inhibitor combined with X-ray irradiation on the inflammatory microenvironment and lung tissue injury in mice. J. Inflamm. Res. 2022;15:545-556.

    Not in our library10.2147/jir.s350112

  103. 103.

    Chen R, Zhou L. Pd-1 signaling pathway in sepsis: does it have a future? Clin. Immunol. 2021;229:108742.

    Not in our library10.1016/j.clim.2021.108742

  104. 104.

    Normann MC, et al. Early experiences with Pd-1 inhibitor treatment of platinum resistant epithelial ovarian cancer. J. Gynecol. Oncol. 2019;30:e56.

    Not in our library10.3802/jgo.2019.30.e56

  105. 105.

    Heine A, Kristiansen G, Schild HH, Brossart P. Successful treatment of refractory leiomyosarcoma with the Pd-1 inhibitor nivolumab. Ann. Oncol. 2016;27:1813-1814.

    Not in our library10.1093/annonc/mdw243

  106. 106.

    Yin B, et al. Immune-related organizing pneumonitis in non-small cell lung cancer receiving Pd-1 inhibitor treatment: a case report and literature review. J. Cancer Res. Ther. 2020;16:1555-1559.

    Not in our library10.4103/0973-1482.204842

  107. 107.

    Riaz N, et al. Tumor and microenvironment evolution during immunotherapy with nivolumab. Cell. 2017;171:934-949.

    Not in our library10.1016/j.cell.2017.09.028

  108. 108.

    Passiglia F, et al. Looking for the best immune-checkpoint inhibitor in pre-treated nsclc patients: an indirect comparison between nivolumab, pembrolizumab and atezolizumab. Int. J. Cancer. 2018;142:1277-1284.

    Not in our library10.1002/ijc.31136

  109. 109.

    Halmos B, et al. Pembrolizumab+chemotherapy versus atezolizumab+chemotherapy+/-bevacizumab for the first-line treatment of non-squamous Nsclc: a matching-adjusted indirect comparison. Lung Cancer. 2021;155:175-182.

    Not in our library10.1016/j.lungcan.2021.03.020

  110. 110.

    Rodriguez-Abreu D, et al. Pemetrexed plus platinum with or without pembrolizumab in patients with previously untreated metastatic nonsquamous nsclc: protocol-specified final analysis from keynote-189. Ann. Oncol. 2021;32:881-895.

    Not in our library10.1016/j.annonc.2021.04.008

  111. 111.

    Herbst RS, et al. Five year survival update from keynote-010: pembrolizumab versus docetaxel for previously treated, programmed death-ligand 1-positive advanced Nsclc. J. Thorac. Oncol. 2021;16:1718-1732.

    Not in our library10.1016/j.jtho.2021.05.001

  112. 112.

    Awad MM, et al. Long-term overall survival from keynote-021 cohort G: pemetrexed and carboplatin with or without pembrolizumab as first-line therapy for advanced nonsquamous Nsclc. J. Thorac. Oncol. 2021;16:162-168.

    Not in our library10.1016/j.jtho.2020.09.015

  113. 113.

    Morgensztern D, Herbst RS. Nivolumab and pembrolizumab for non-small cell lung cancer. Clin. Cancer Res. 2016;22:3713-3717.

    Not in our library10.1158/1078-0432.ccr-15-2998

  114. 114.

    Wong J, et al. Ipilimumab and nivolumab/pembrolizumab in advanced hepatocellular carcinoma refractory to prior immune checkpoint inhibitors. J. Immunother. Cancer. 2021;9:e001945.

    Not in our library10.1136/jitc-2020-001945

  115. 115.

    Lin SY, et al. Tumor Pd-L1 expression and clinical outcomes in advanced-stage non-small cell lung cancer patients treated with nivolumab or pembrolizumab: real-world data in Taiwan. J. Cancer. 2018;9:1813-1820.

    Not in our library10.7150/jca.24985

  116. 116.

    Wang H, et al. Pdl1 high expression without Tp53, Keap1 and Epha5 mutations could better predict survival for patients with nsclc receiving atezolizumab. Lung Cancer. 2021;151:76-83.

    Not in our library10.1016/j.lungcan.2020.11.006

  117. 117.

    Lam TC, et al. Combination atezolizumab, bevacizumab, pemetrexed and carboplatin for metastatic Egfr mutated Nsclc after Tki failure. Lung Cancer. 2021;159:18-26.

    Not in our library10.1016/j.lungcan.2021.07.004

  118. 118.

    Gunjur A, et al. Occult gastrointestinal perforation in a patient with Egfr-mutant non-small-cell lung cancer receiving combination chemotherapy with atezolizumab and bevacizumab: brief report. Clin. Lung Cancer. 2020;21:e57-e60.

    Not in our library10.1016/j.cllc.2019.11.014

  119. 119.

    Nogami N, et al. Impower150 final exploratory analyses for atezolizumab plus bevacizumab and chemotherapy in key nsclc patient subgroups with Egfr mutations or metastases in the liver or brain. J. Thorac. Oncol. 2022;17:309-323.

    Not in our library10.1016/j.jtho.2021.09.014

  120. 120.

    Goldman JW, et al. Durvalumab, with or without tremelimumab, plus platinum-etoposide versus platinum-etoposide alone in first-line treatment of extensive-stage small-cell lung cancer (Caspian): updated results from a randomised, controlled, open-label, phase 3 trial. Lancet Oncol. 2021;22:51-65.

    Not in our library10.1016/s1470-2045(20)30539-8

  121. 121.

    Motzer RJ, et al. Avelumab plus axitinib versus sunitinib in advanced renal cell carcinoma: biomarker analysis of the phase 3 Javelin renal 101 trial. Nat. Med. 2020;26:1733-1741.

    Not in our library10.1038/s41591-020-1044-8

  122. 122.

    Albuquerque AO, Da SJH, Sartori GR, Martins DSJ. Computationally-obtained structural insights into the molecular interactions between pidilizumab and binding partners Dll1 and Pd-1. J. Biomol. Struct. Dyn. 2021;9:1-13.

    Not in our library10.1080/07391102.2021.1885492

  123. 123.

    Gao S, et al. Neoadjuvant Pd-1 inhibitor (Sintilimab) in Nsclc. J. Thorac. Oncol. 2020;15:816-826.

    Not in our library10.1016/j.jtho.2020.01.017

  124. 124.

    Powles T, et al. Pembrolizumab plus axitinib versus sunitinib monotherapy as first-line treatment of advanced renal cell carcinoma (Keynote-426): extended follow-up from a randomised, open-label, phase 3 trial. Lancet Oncol. 2020;21:1563-1573.

    Not in our library10.1016/s1470-2045(20)30436-8

  125. 125.

    Zhang H, et al. Hyperprogressive disease in patients receiving immune checkpoint inhibitors. Curr. Probl. Cancer. 2021;45:100688.

    Not in our library10.1016/j.currproblcancer.2020.100688

  126. 126.

    Shen P, et al. Hyperprogressive disease in cancers treated with immune checkpoint inhibitors. Front. Pharm. 2021;12:678409.

    Not in our library10.3389/fphar.2021.678409

  127. 127.

    Champiat S, et al. Hyperprogressive disease: recognizing a novel pattern to improve patient management. Nat. Rev. Clin. Oncol. 2018;15:748-762.

    Not in our library10.1038/s41571-018-0111-2

  128. 128.

    Kim CG, et al. Hyperprogressive disease during Pd-1/Pd-L1 blockade in patients with non-small-cell lung cancer. Ann. Oncol. 2019;30:1104-1113.

    Not in our library10.1093/annonc/mdz123

  129. 129.

    Wang X, et al. The biomarkers of hyperprogressive disease in Pd-1/Pd-L1 blockage therapy. Mol. Cancer. 2020;19:81.

    Not in our library10.1186/s12943-020-01200-x

  130. 130.

    Kim CG, et al. Hyperprogressive disease during Pd-1 blockade in patients with advanced hepatocellular carcinoma. J. Hepatol. 2021;74:350-359.

    Not in our library10.1016/j.jhep.2020.08.010

  131. 131.

    Assi T, Mir O. Hyperprogressive disease in leiomyosarcoma: a threat to the use of single-agent anti-Pd-(L)1 therapy? Immunotherapy. 2022;14:271-274.

    Not in our library10.2217/imt-2021-0297

  132. 132.

    Lo RG, et al. Hyperprogressive disease upon immune checkpoint blockade: focus on non-small cell lung cancer. Curr. Oncol. Rep. 2020;22:41.

    Not in our library10.1007/s11912-020-00908-9

  133. 133.
  134. 134.

    Zappasodi R, et al. Ctla-4 blockade drives loss of treg stability in glycolysis-low tumours. Nature. 2021;591:652-658.

    Not in our library10.1038/s41586-021-03326-4

  135. 135.

    Penter L, et al. Molecular and cellular features of ctla-4 blockade for relapsed myeloid malignancies after transplantation. Blood. 2021;137:3212-3217.

    Not in our library10.1182/blood.2021010867

  136. 136.

    Formenti SC, et al. Radiotherapy induces responses of lung cancer to Ctla-4 blockade. Nat. Med. 2018;24:1845-1851.

    Not in our library10.1038/s41591-018-0232-2

  137. 137.

    Thompson RH, Allison JP, Kwon ED. Anti-cytotoxic T lymphocyte antigen-4 (Ctla-4) immunotherapy for the treatment of prostate cancer. Urol. Oncol. 2006;24:442-447.

    Not in our library10.1016/j.urolonc.2005.08.011

  138. 138.

    Egen JG, Kuhns MS, Allison JP. Ctla-4: new insights into its biological function and use in tumor immunotherapy. Nat. Immunol. 2002;3:611-618.

    Not in our library10.1038/ni0702-611

  139. 139.

    Cascone T, et al. Nodal immune flare mimics nodal disease progression following neoadjuvant immune checkpoint inhibitors in non-small cell lung cancer. Nat. Commun. 2021;12:5045.

    Not in our library10.1038/s41467-021-25188-0

  140. 140.

    Podlesnykh SV, et al. Peptide blocking Ctla-4 and B7-1 interaction. Molecules. 2021;26:253.

    Not in our library10.3390/molecules26020253

  141. 141.

    Tiemann M, Atiakshin D, Samoilova V, Buchwalow I. Identification of Ctla-4-positive cells in the human tonsil. Cells. 2021;10:1027.

    Not in our library10.3390/cells10051027

  142. 142.

    Ren Z, et al. Ctla-4 limits anti-Cd20-mediated tumor regression. Clin. Cancer Res. 2017;23:193-203.

    Not in our library10.1158/1078-0432.ccr-16-0040

  143. 143.
  144. 144.

    Liu Y, Zheng P. How does an anti-Ctla-4 antibody promote cancer immunity? Trends Immunol. 2018;39:953-956.

    Not in our library10.1016/j.it.2018.10.009

  145. 145.

    Bengsch F, et al. Ctla-4/Cd80 pathway regulates T cell infiltration into pancreatic cancer. Cancer Immunol. Immunother. 2017;66:1609-1617.

    Not in our library10.1007/s00262-017-2053-4

  146. 146.

    Pol J, Kroemer G. Anti-Ctla-4 immunotherapy: uncoupling toxicity and efficacy. Cell Res. 2018;28:501-502.

    Not in our library10.1038/s41422-018-0031-9

  147. 147.

    Gravitz L. Cancer immunotherapy. Nature. 2013;504:S1.

    Not in our library10.1038/504s1a

  148. 148.

    Wing K, et al. Ctla-4 control over Foxp3+ regulatory T cell function. Science. 2008;322:271-275.

    Not in our library10.1126/science.1160062

  149. 149.

    Sharma A, et al. Anti-Ctla-4 immunotherapy does not deplete Foxp3(+) regulatory T cells (Tregs) in human cancers. Clin. Cancer Res. 2019;25:1233-1238.

    Not in our library10.1158/1078-0432.ccr-18-0762

  150. 150.

    Santoni G, et al. High Ctla-4 expression correlates with poor prognosis in thymoma patients. Oncotarget. 2018;9:16665-16677.

    Not in our library10.18632/oncotarget.24645

  151. 151.

    Gaber T, et al. Ctla-4 mediates inhibitory function of mesenchymal stem/stromal cells. Int. J. Mol. Sci. 2018;19:2312.

    Not in our library10.3390/ijms19082312

  152. 152.

    Wei SC, Duffy CR, Allison JP. Fundamental mechanisms of immune checkpoint blockade therapy. Cancer Disco. 2018;8:1069-1086.

    Not in our library10.1158/2159-8290.cd-18-0367

  153. 153.

    Wei SC, et al. Distinct cellular mechanisms underlie anti-Ctla-4 and anti-Pd-1 checkpoint blockade. Cell. 2017;170:1120-1133.

    Not in our library10.1016/j.cell.2017.07.024

  154. 154.

    Wei SC, et al. A genetic mouse model recapitulates immune checkpoint inhibitor-associated myocarditis and supports a mechanism-based therapeutic intervention. Cancer Disco. 2021;11:614-625.

    Not in our library10.1158/2159-8290.cd-20-0856

  155. 155.

    Paz-Ares LG, et al. First-line nivolumab plus ipilimumab in advanced Nsclc: 4-year outcomes from the randomized, open-label, phase 3 checkmate 227 Part 1 trial. J. Thorac. Oncol. 2022;17:289-308.

    Not in our library10.1016/j.jtho.2021.09.010

  156. 156.
  157. 157.
  158. 158.

    Dixon KO, et al. Tim-3 restrains anti-tumour immunity by regulating inflammasome activation. Nature. 2021;595:101-106.

    Not in our library10.1038/s41586-021-03626-9

  159. 159.

    Das M, Zhu C, Kuchroo VK. Tim-3 and its role in regulating anti-tumor immunity. Immunol. Rev. 2017;276:97-111.

    Not in our library10.1111/imr.12520

  160. 160.

    Acharya N, Sabatos-Peyton C, Anderson AC. Tim-3 finds its place in the cancer immunotherapy landscape. J. Immunother. Cancer. 2020;8:e000911.

    Not in our library10.1136/jitc-2020-000911

  161. 161.

    Kim HS, et al. Glial Tim-3 modulates immune responses in the brain tumor microenvironment. Cancer Res. 2020;80:1833-1845.

    Not in our library10.1158/0008-5472.can-19-2834

  162. 162.

    de Mingo PA, et al. Tim-3 regulates Cd103(+) dendritic cell function and response to chemotherapy in breast cancer. Cancer Cell. 2018;33:60-74.

    Not in our library10.1016/j.ccell.2017.11.019

  163. 163.

    Harding JJ, et al. Blocking Tim-3 in treatment-refractory advanced solid tumors: a phase Ia/B study of Ly3321367 with or without an Anti-Pd-L1 antibody. Clin. Cancer Res. 2021;27:2168-2178.

    Not in our library10.1158/1078-0432.ccr-20-4405

  164. 164.

    Suzuki K, et al. Immune-checkpoint profiles for T cells in bronchoalveolar lavage fluid of patients with immune-checkpoint inhibitor-related interstitial lung disease. Int. Immunol. 2020;32:547-557.

    Not in our library10.1093/intimm/dxaa022

  165. 165.

    Girardi DM, et al. Cabozantinib plus nivolumab phase I expansion study in patients with metastatic urothelial carcinoma refractory to immune checkpoint inhibitor therapy. Clin. Cancer Res. 2022;28:1353-1362.

    Not in our library10.1158/1078-0432.ccr-21-3726

  166. 166.

    Jones BE, et al. Fewer Lag-3(+) T cells in relapsing-remitting multiple sclerosis and type 1 diabetes. J. Immunol. 2022;208:594-602.

    Not in our library10.4049/jimmunol.2100850

  167. 167.

    Huang CT, et al. Role of Lag-3 in regulatory T cells. Immunity. 2004;21:503-513.

    Not in our library10.1016/j.immuni.2004.08.010

  168. 168.

    Klumper N, et al. Lag3 (Lag-3, Cd223) Dna methylation correlates with Lag3 expression by tumor and immune cells, immune cell infiltration, and overall survival in clear cell renal cell carcinoma. J. Immunother. Cancer. 2020;8:e000552.

    Not in our library10.1136/jitc-2020-000552

  169. 169.

    Robert CLag-3. and Pd-1 blockade raises the bar for melanoma. Nat. Cancer. 2021;2:1251-1253.

    Not in our library10.1038/s43018-021-00276-8

  170. 170.

    Friedman LA, Ring KL, Mills AM. Lag-3 and Gal-3 in endometrial carcinoma: emerging candidates for immunotherapy. Int. J. Gynecol. Pathol. 2020;39:203-212.

    Not in our library10.1097/pgp.0000000000000608

  171. 171.

    Sordo-Bahamonde C, et al. Lag-3 Blockade with relatlimab (Bms-986016) restores anti-leukemic responses in chronic lymphocytic leukemia. Cancers. 2021;13:2112.

    Not in our library10.3390/cancers13092112

  172. 172.

    Tu L, et al. Assessment of the expression of the immune checkpoint molecules Pd-1, Ctla4, Tim-3 and Lag-3 across different cancers in relation to treatment response, tumor-infiltrating immune cells and survival. Int. J. Cancer. 2020;147:423-439.

    Not in our library10.1002/ijc.32785

  173. 173.

    Okagawa T, et al. Cooperation of Pd-1 and Lag-3 contributes to T-cell exhaustion in anaplasma marginale-infected cattle. Infect. Immun. 2016;84:2779-2790.

    Not in our library10.1128/iai.00278-16

  174. 174.

    Tobin J, Bednarska K, Campbell A, Keane C. Pd-1 and Lag-3 checkpoint blockade: potential avenues for therapy in B-cell lymphoma. Cells. 2021;10:1152.

    Not in our library10.3390/cells10051152

  175. 175.

    Sobottka B, Moch H, Varga Z. Differential Pd-1/Lag-3 Expression and immune phenotypes in metastatic sites of breast cancer. Breast Cancer Res. 2021;23:4.

    Not in our library10.1186/s13058-020-01380-w

  176. 176.
  177. 177.

    Doe HT, et al. Expression of Pd-1/Lag-3 and cytokine production by Cd4(+) T cells during infection with plasmodium parasites. Microbiol. Immunol. 2016;60:121-131.

    Not in our library10.1111/1348-0421.12354

  178. 178.

    Tawbi HA, et al. Relatlimab and nivolumab versus nivolumab in untreated advanced melanoma. N. Engl. J. Med. 2022;386:24-34.

    Not in our library10.1056/nejmoa2109970

  179. 179.

    Wang J, et al. Fibrinogen-like protein 1 is a major immune inhibitory ligand of Lag-3. Cell. 2019;176:334-347.

    Not in our library10.1016/j.cell.2018.11.010

  180. 180.
  181. 181.

    Lv Z, et al. Fgl1 as a novel mediator and biomarker of malignant progression in clear cell renal cell carcinoma. Front. Oncol. 2021;11:756843.

    Not in our library10.3389/fonc.2021.756843

  182. 182.

    De Giglio A, et al. The Landscape of Immunotherapy in Advanced Nsclc: Driving Beyond Pd-1/Pd-L1 Inhibitors (Ctla-4, Lag3, Ido, Ox40, Tigit, Vaccines). Curr. Oncol. Rep. 2021;23:126.

    Not in our library10.1007/s11912-021-01124-9

  183. 183.

    Safe S, et al. Minireview: role of orphan nuclear receptors in cancer and potential as drug targets. Mol. Endocrinol. 2014;28:157-172.

    Not in our library10.1210/me.2013-1291

  184. 184.

    Hermann-Kleiter N, et al. The nuclear orphan receptor Nr2F6 is a central checkpoint for cancer immune surveillance. Cell Rep. 2015;12:2072-2085.

    Not in our library10.1016/j.celrep.2015.08.035

  185. 185.
  186. 186.
  187. 187.

    Dougall WC, Kurtulus S, Smyth MJ, Anderson AC. Tigit and Cd96: new checkpoint receptor targets for cancer immunotherapy. Immunol. Rev. 2017;276:112-120.

    Not in our library10.1111/imr.12518

  188. 188.

    Harjunpaa H, Guillerey C. Tigit as an emerging immune checkpoint. Clin. Exp. Immunol. 2020;200:108-119.

    Not in our library10.1111/cei.13407

  189. 189.

    Chauvin JM, Zarour HM. Tigit in cancer immunotherapy. J. Immunother. Cancer. 2020;8:e000957.

    Not in our library10.1136/jitc-2020-000957

  190. 190.

    Mullard A. Immuno-oncology target tigit attracts a new contender. Nat. Rev. Drug Discov. 2021;20:576.

    Not in our library10.1038/d41573-021-00123-6

  191. 191.

    Chauvin JM, et al. Tigit and Pd-1 impair tumor antigen-specific Cd8(+) T cells in melanoma patients. J. Clin. Invest. 2015;125:2046-2058.

    Not in our library10.1172/jci80445

  192. 192.

    Deuss FA, Gully BS, Rossjohn J, Berry R. Recognition of nectin-2 by the natural killer cell receptor T cell immunoglobulin and itim domain (tigit). J. Biol. Chem. 2017;292:11413-11422.

    Not in our library10.1074/jbc.m117.786483

  193. 193.
  194. 194.

    Wang L, et al. Vista, a novel mouse Ig superfamily ligand that negatively regulates T cell responses. J. Exp. Med. 2011;208:577-592.

    Not in our library10.1084/jem.20100619

  195. 195.

    Liu J, et al. Immune-checkpoint proteins vista and Pd-1 nonredundantly regulate murine T-cell responses. Proc. Natl Acad. Sci. USA. 2015;112:6682-6687.

    Not in our library10.1073/pnas.1420370112

  196. 196.

    Boger C, Behrens HM, Kruger S, Rocken C. The Novel negative checkpoint regulator vista is expressed in gastric carcinoma and associated with Pd-L1/Pd-1: a future perspective for a combined gastric cancer therapy? Oncoimmunology. 2017;6:e1293215.

    Not in our library10.1080/2162402x.2017.1293215

  197. 197.

    Wu L, et al. Expression of vista correlated with immunosuppression and synergized with Cd8 to predict survival in human oral squamous cell carcinoma. Cancer Immunol. Immunother. 2017;66:627-636.

    Not in our library10.1007/s00262-017-1968-0

  198. 198.

    Gao J, et al. Vista is an inhibitory immune checkpoint that is increased after ipilimumab therapy in patients with prostate cancer. Nat. Med. 2017;23:551-555.

    Not in our library10.1038/nm.4308

  199. 199.

    Derre L, et al. Btla mediates inhibition of human tumor-specific Cd8+ T cells that can be partially reversed by vaccination. J. Clin. Invest. 2010;120:157-167.

    Not in our library10.1172/jci40070

  200. 200.

    Demerle C, Gorvel L, Olive D. Btla-Hvem couple in health and diseases: insights for immunotherapy in lung cancer. Front. Oncol. 2021;11:682007.

    Not in our library10.3389/fonc.2021.682007

  201. 201.

    Li X, et al. Btla expression in stage I-Iii non-small-cell lung cancer and its correlation with Pd-1/Pd-L1 and clinical outcomes. Onco Targets Ther. 2020;13:215-224.

    Not in our library10.2147/ott.s232234

  202. 202.

    Wang WD, et al. Up-regulation of Btla expression in myeloid dendritic cells associated with the treatment outcome of neonatal sepsis. Mol. Immunol. 2021;134:129-140.

    Not in our library10.1016/j.molimm.2021.03.007

  203. 203.

    Hwang HJ, et al. The Btla and Pd-1 signaling pathways independently regulate the proliferation and cytotoxicity of human peripheral blood gammadelta T cells. Immun. Inflamm. Dis. 2021;9:274-287.

    Not in our library10.1002/iid3.390

  204. 204.

    Karabon L, et al. Abnormal expression of Btla and Ctla-4 immune checkpoint molecules in chronic lymphocytic leukemia patients. J. Immunol. Res. 2020;2020:6545921.

    Not in our library10.1155/2020/6545921

  205. 205.

    Sordo-Bahamonde C, et al. Btla/Hvem axis induces Nk cell immunosuppression and poor outcome in chronic lymphocytic leukemia. Cancers. 2021;13:1766.

    Not in our library10.3390/cancers13081766

  206. 206.

    Choi Y, et al. T-cell agonists in cancer immunotherapy. J. Immunother. Cancer. 2020;8:e000966.

    Not in our library10.1136/jitc-2020-000966

  207. 207.
  208. 208.

    Chen P, et al. Immune checkpoints Ox40 and Ox40L in small-cell lung cancer: predict prognosis and modulate immune microenvironment. Front. Oncol. 2021;11:713853.

    Not in our library10.3389/fonc.2021.713853

  209. 209.

    Yadav R, Redmond WL. Current clinical trial landscape of Ox40 agonists. Curr. Oncol. Rep. 2022;24:951-960.

    Not in our library10.1007/s11912-022-01265-5

  210. 210.

    Kim TW, et al. First-in-human phase I study of the Ox40 agonist Moxr0916 in patients with advanced solid tumors. Clin. Cancer Res. 2022;14:4020.

    Not in our library10.1158/1078-0432.ccr-21-4020

  211. 211.

    Bulliard Y, et al. Ox40 engagement depletes intratumoral tregs via activating Fcgammars, leading to antitumor efficacy. Immunol. Cell Biol. 2014;92:475-480.

    Not in our library10.1038/icb.2014.26

  212. 212.

    Fu T, He Q, Sharma P. The Icos/Icosl pathway is required for optimal antitumor responses mediated by anti-Ctla-4 therapy. Cancer Res. 2011;71:5445-5454.

    Not in our library10.1158/0008-5472.can-11-1138

  213. 213.

    Fan X, et al. Engagement of the Icos pathway markedly enhances efficacy of Ctla-4 blockade in cancer immunotherapy. J. Exp. Med. 2014;211:715-725.

    Not in our library10.1084/jem.20130590

  214. 214.

    Soldevilla MM, et al. Icos costimulation at the tumor site in combination with Ctla-4 blockade therapy elicits strong tumor immunity. Mol. Ther. 2019;27:1878-1891.

    Not in our library10.1016/j.ymthe.2019.07.013

  215. 215.

    Shi LZ, et al. Blockade of Ctla-4 and Pd-1 enhances adoptive T-cell therapy efficacy in an Icos-mediated manner. Cancer Immunol. Res. 2019;7:1803-1812.

    Not in our library10.1158/2326-6066.cir-18-0873

  216. 216.

    Wang Y, et al. Combined 4-1Bb and Icos co-stimulation improves anti-tumor efficacy and persistence of dual anti-Cd19/Cd20 chimeric antigen receptor T cells. Cytotherapy. 2021;23:715-723.

    Not in our library10.1016/j.jcyt.2021.02.117

  217. 217.
  218. 218.

    Chester C, Sanmamed MF, Wang J, Melero I. Immunotherapy targeting 4-1Bb: mechanistic rationale, clinical results, and future strategies. Blood. 2018;131:49-57.

    Not in our library10.1182/blood-2017-06-741041

  219. 219.

    Segal NH, et al. Phase I study of single-agent utomilumab (Pf-05082566), a 4-1Bb/Cd137 agonist, in patients with advanced cancer. Clin. Cancer Res. 2018;24:1816-1823.

    Not in our library10.1158/1078-0432.ccr-17-1922

  220. 220.

    Claus C, et al. Tumor-targeted 4-1Bb agonists for combination with T cell bispecific antibodies as off-the-shelf therapy. Sci. Transl. Med. 2019;11:eaav5989.

    Not in our library10.1126/scitranslmed.aav5989

  221. 221.

    Vinay DS, Kwon BS. Immunotherapy of cancer with 4-1Bb. Mol. Cancer Ther. 2012;11:1062-1070.

    Not in our library10.1158/1535-7163.mct-11-0677

  222. 222.

    Van de Ven K, Borst J. Targeting the T-cell co-stimulatory Cd27/Cd70 pathway in cancer immunotherapy: rationale and potential. Immunotherapy. 2015;7:655-667.

    Not in our library10.2217/imt.15.32

  223. 223.

    Starzer AM, Berghoff AS. New emerging targets in cancer immunotherapy: Cd27 (Tnfrsf7). ESMO Open. 2020;4:e629.

    Not in our library10.1136/esmoopen-2019-000629

  224. 224.

    Latorre I, et al. Study of Cd27 and Ccr4 markers on specific Cd4(+) T-cells as immune tools for active and latent tuberculosis management. Front. Immunol. 2018;9:3094.

    Not in our library10.3389/fimmu.2018.03094

  225. 225.

    Chen H, et al. Cd27 enhances the killing effect of Car T cells targeting trophoblast cell surface antigen 2 in the treatment of solid tumors. Cancer Immunol. Immunother. 2021;70:2059-2071.

    Not in our library10.1007/s00262-020-02838-8

  226. 226.

    Muth S, et al. Cd27 expression on Treg cells limits immune responses against tumors. J. Mol. Med. 2022;100:439-449.

    Not in our library10.1007/s00109-021-02116-9

  227. 227.

    Burris HA, et al. Safety and activity of varlilumab, a novel and first-in-class agonist anti-Cd27 antibody, in patients with advanced solid tumors. J. Clin. Oncol. 2017;35:2028-2036.

    Not in our library10.1200/jco.2016.70.1508

  228. 228.

    Buchan SL, et al. Pd-1 blockade and Cd27 stimulation activate distinct transcriptional programs that synergize for Cd8(+) T-cell-driven antitumor immunity. Clin. Cancer Res. 2018;24:2383-2394.

    Not in our library10.1158/1078-0432.ccr-17-3057

  229. 229.

    Ramakrishna V, et al. Characterization of the human T cell response to in vitro Cd27 costimulation with varlilumab. J. Immunother. Cancer. 2015;3:37.

    Not in our library10.1186/s40425-015-0080-2

  230. 230.

    Ansell SM, et al. Safety and activity of varlilumab, a novel and first-in-class agonist Anti-Cd27 antibody, for hematologic malignancies. Blood Adv. 2020;4:1917-1926.

    Not in our library10.1182/bloodadvances.2019001079

  231. 231.

    Mehta RS, Randolph B, Daher M, Rezvani K. Nk cell therapy for hematologic malignancies. Int. J. Hematol. 2018;107:262-270.

    Not in our library10.1007/s12185-018-2407-5

  232. 232.

    Lachota M, et al. Prospects for Nk cell therapy of sarcoma. Cancers. 2020;12:3719.

    Not in our library10.3390/cancers12123719

  233. 233.

    Lee J, et al. An antibody designed to improve adoptive Nk-cell therapy inhibits pancreatic cancer progression in a murine model. Cancer Immunol. Res. 2019;7:219-229.

    Not in our library10.1158/2326-6066.cir-18-0317

  234. 234.

    Masuyama J, Chaiyasit K, Sanphasitvong W, Wiwanitkit V. Nk cell therapy for end-stage cancerous patient: a case study. South Asian J. Cancer. 2014;3:143.

    Not in our library10.4103/2278-330x.130480

  235. 235.

    Farhan S, Lee DA, Champlin RE, Ciurea SO. Nk cell therapy: targeting disease relapse after hematopoietic stem cell transplantation. Immunotherapy. 2012;4:305-313.

    Not in our library10.2217/imt.11.174

  236. 236.

    Fang F, Xiao W, Tian Z. Nk cell-based immunotherapy for cancer. Semin. Immunol. 2017;31:37-54.

    Not in our library10.1016/j.smim.2017.07.009

  237. 237.

    Shimasaki N, Jain A, Campana D. Nk cells for cancer immunotherapy. Nat. Rev. Drug Discov. 2020;19:200-218.

    Not in our library10.1038/s41573-019-0052-1

  238. 238.

    Myers JA, Miller JS. Exploring the Nk cell platform for cancer immunotherapy. Nat. Rev. Clin. Oncol. 2021;18:85-100.

    Not in our library10.1038/s41571-020-0426-7

  239. 239.

    Colucci F. The role of Kir and Hla interactions in pregnancy complications. Immunogenetics. 2017;69:557-565.

    Not in our library10.1007/s00251-017-1003-9

  240. 240.

    Naumova E, Mihaylova A, Ivanova M, Mihailova S. Impact of Kir/Hla ligand combinations on immune responses in malignant melanoma. Cancer Immunol. Immunother. 2007;56:95-100.

    Not in our library10.1007/s00262-006-0151-9

  241. 241.

    Agrawal S, Prakash S. Significance of Kir like natural killer cell receptors in autoimmune disorders. Clin. Immunol. 2020;216:108449.

    Not in our library10.1016/j.clim.2020.108449

  242. 242.

    Benson DJ, et al. A phase I trial of the anti-Kir antibody Iph2101 and lenalidomide in patients with relapsed/refractory multiple myeloma. Clin. Cancer Res. 2015;21:4055-4061.

    Not in our library10.1158/1078-0432.ccr-15-0304

  243. 243.

    Manzanares-Martin B, et al. Improving selection of patients with metastatic colorectal cancer to benefit from cetuximab based on Kir genotypes. J. Immunother. Cancer. 2021;9:e001705.

    Not in our library10.1136/jitc-2020-001705

  244. 244.

    Sarac ME, et al. The evaluation of killer cell immunoglobulin-like receptor gene polymorphism in glioblastoma patients. Turk. Neurosurg. 2019;29:570-575.

    Not in our library10.5137/1019-5149.jtn.24329-18.3

  245. 245.

    Carlsten M, et al. Checkpoint inhibition of Kir2D with the monoclonal antibody Iph2101 induces contraction and hyporesponsiveness of Nk cells in patients with myeloma. Clin. Cancer Res. 2016;22:5211-5222.

    Not in our library10.1158/1078-0432.ccr-16-1108

  246. 246.

    Betser-Cohen G, et al. Reduced Kir2Dl1 recognition of Mhc class I molecules presenting phosphorylated peptides. J. Immunol. 2006;176:6762-6769.

    Not in our library10.4049/jimmunol.176.11.6762

  247. 247.

    Gooneratne SL, Center RJ, Kent SJ, Parsons MS. Functional advantage of educated Kir2Dl1(+) natural killer cells for anti-Hiv-1 antibody-dependent activation. Clin. Exp. Immunol. 2016;184:101-109.

    Not in our library10.1111/cei.12752

  248. 248.
  249. 249.

    Herbst RS, et al. Coast: an open-label, phase ii, multidrug platform study of durvalumab alone or in combination with oleclumab or monalizumab in patients with unresectable, stage iii non-small-cell lung cancer. J. Clin. Oncol. 2022;22:O2200227.

    Not in our library10.1200/jco.22.00227

  250. 250.

    Tinker AV, et al. Dose-ranging and cohort-expansion study of monalizumab (Iph2201) in patients with advanced gynecologic malignancies: a trial of the Canadian Cancer Trials Group (Cctg): Ind221. Clin. Cancer Res. 2019;25:6052-6060.

    Not in our library10.1158/1078-0432.ccr-19-0298

  251. 251.

    Galot R, et al. A phase Ii study of monalizumab in patients with recurrent/metastatic squamous cell carcinoma of the head and neck: the I1 cohort of the Eortc-Hncg-1559 upstream trial. Eur. J. Cancer. 2021;158:17-26.

    Not in our library10.1016/j.ejca.2021.09.003

  252. 252.

    Mittal D, et al. Cd96 is an immune checkpoint that regulates Cd8(+) T-cell antitumor function. Cancer Immunol. Res. 2019;7:559-571.

    Not in our library10.1158/2326-6066.cir-18-0637

  253. 253.
  254. 254.

    Singh AK, McGuirk JP. Car T cells: continuation in a revolution of immunotherapy. Lancet Oncol. 2020;21:e168-e178.

    Not in our library10.1016/s1470-2045(19)30823-x

  255. 255.

    Miliotou AN, Papadopoulou LC. Car T-cell therapy: a new era in cancer immunotherapy. Curr. Pharm. Biotechnol. 2018;19:5-18.

    Not in our library10.2174/1389201019666180418095526

  256. 256.
  257. 257.

    Shi J, Li M, Yang R. Tumor-infiltrating lymphocytes as a feasible adjuvant immunotherapy for osteosarcoma with a poor response to neoadjuvant chemotherapy. Immunotherapy. 2020;12:641-652.

    Not in our library10.2217/imt-2020-0107

  258. 258.

    Siddiqui I, et al. Intratumoral Tcf1(+)Pd-1(+)Cd8(+) T cells with stem-like properties promote tumor control in response to vaccination and checkpoint blockade immunotherapy. Immunity. 2019;50:195-211.

    Not in our library10.1016/j.immuni.2018.12.021

  259. 259.

    Ti D, et al. Adaptive T cell immunotherapy in cancer. Sci. China Life Sci. 2021;64:363-371.

    Not in our library10.1007/s11427-020-1713-9

  260. 260.

    Paijens ST, Vledder A, de Bruyn M, Nijman HW. Tumor-infiltrating lymphocytes in the immunotherapy era. Cell. Mol. Immunol. 2021;18:842-859.

    Not in our library10.1038/s41423-020-00565-9

  261. 261.

    Luen SJ, et al. Tumour-infiltrating lymphocytes and the emerging role of immunotherapy in breast cancer. Pathology. 2017;49:141-155.

    Not in our library10.1016/j.pathol.2016.10.010

  262. 262.

    Lee N, Zakka LR, Mihm MJ, Schatton T. Tumour-infiltrating lymphocytes in melanoma prognosis and cancer immunotherapy. Pathology. 2016;48:177-187.

    Not in our library10.1016/j.pathol.2015.12.006

  263. 263.

    Romano F, et al. Preoperative Il-2 immunotherapy enhances tumor infiltrating lymphocytes (Tils) in gastric cancer patients. Hepatogastroenterology. 2006;53:634-638.

    Not in our library

  264. 264.

    Hua JM, Zheng ZG, Xu GD. A clinical study on adoptive immunotherapy of bone metastatic neoplasm with tumor infiltrating lymphocytes. Zhonghua Zhong Liu Za Zhi. 1994;16:203-206.

    Not in our library

  265. 265.

    Creelan BC, et al. Tumor-infiltrating lymphocyte treatment for anti-Pd-1-resistant metastatic lung cancer: a phase 1 trial. Nat. Med. 2021;27:1410-1418.

    Not in our library10.1038/s41591-021-01462-y

  266. 266.

    Wang X, et al. Assessment of immune status of laryngeal squamous cell carcinoma can predict prognosis and guide treatment. Cancer Immunol. Immunother. 2021;71:1199-1220.

    Not in our library10.1007/s00262-021-03071-7

  267. 267.

    Losurdo A, et al. Insights for the application of Tils and Ar in the treatment of Tnbc in routine clinical practice. Sci. Rep. 2020;10:20100.

    Not in our library10.1038/s41598-020-77043-9

  268. 268.

    Wang Y, et al. Targeting Cd96 overcomes Pd-1 blockade resistance by enhancing Cd8+ Til function in cervical cancer. J. Immunother. Cancer. 2022;10:e003667.

    Not in our library10.1136/jitc-2021-003667

  269. 269.

    Sarnaik AA, et al. Lifileucel, a tumor-infiltrating lymphocyte therapy, in metastatic melanoma. J. Clin. Oncol. 2021;39:2656-2666.

    Not in our library10.1200/jco.21.00612

  270. 270.

    Savas P, Loi S. Metastatic breast cancer: til it is too late. Clin. Cancer Res. 2020;26:526-528.

    Not in our library10.1158/1078-0432.ccr-19-3490

  271. 271.

    Hashemi S, et al. Surprising impact of stromal Til's on immunotherapy efficacy in a real-world. Lung Cancer Study Lung Cancer. 2021;153:81-89.

    Not in our library10.1016/j.lungcan.2021.01.013

  272. 272.

    Zhou X, Wu J, Duan C, Liu Y. Retrospective Analysis of adoptive Til therapy plus anti-Pd1 therapy in patients with chemotherapy-resistant metastatic osteosarcoma. J. Immunol. Res. 2020;2020:7890985.

    Not in our library10.1155/2020/7890985

  273. 273.
  274. 274.
  275. 275.

    Qin SS, Melucci AD, Chacon AC, Prieto P. A. adoptive T cell therapy for solid tumors: pathway to personalized standard of care. Cells. 2021;10:808.

    Not in our library10.3390/cells10040808

  276. 276.

    Watanabe K, et al. Pancreatic cancer therapy with combined mesothelin-redirected chimeric antigen receptor T cells and cytokine-armed oncolytic adenoviruses. JCI Insight. 2018;3:e99573.

    Not in our library10.1172/jci.insight.99573

  277. 277.

    Merhavi-Shoham E, et al. Adoptive cell therapy for metastatic melanoma. Cancer J. 2017;23:48-53.

    Not in our library10.1097/ppo.0000000000000240

  278. 278.

    Delgoffe GM, et al. The role of exhaustion in Car T cell therapy. Cancer Cell. 2021;39:885-888.

    Not in our library10.1016/j.ccell.2021.06.012

  279. 279.

    Sadelain M. Cd19 Car T cells. Cell. 2017;171:1471.

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

  280. 280.

    Tallantyre EC, et al. Neurological updates: neurological complications of Car-T therapy. J. Neurol. 2021;268:1544-1554.

    Not in our library10.1007/s00415-020-10237-3

  281. 281.
  282. 282.

    Hamieh M, et al. Car T cell trogocytosis and cooperative killing regulate tumour antigen escape. Nature. 2019;568:112-116.

    Not in our library10.1038/s41586-019-1054-1

  283. 283.

    Bao C, et al. The application of nanobody in Car-T therapy. Biomolecules. 2021;11:238.

    Not in our library10.3390/biom11020238

  284. 284.
  285. 285.

    Wagner DL, et al. Immunogenicity of Car T cells in cancer therapy. Nat. Rev. Clin. Oncol. 2021;18:379-393.

    Not in our library10.1038/s41571-021-00476-2

  286. 286.
  287. 287.

    Bielamowicz K, et al. Trivalent Car T cells overcome interpatient antigenic variability in glioblastoma. Neuro Oncol. 2018;20:506-518.

    Not in our library10.1093/neuonc/nox182

  288. 288.

    Melenhorst JJ, et al. Decade-long leukaemia remissions with persistence of Cd4(+) Car T cells. Nature. 2022;602:503-509.

    Not in our library10.1038/s41586-021-04390-6

  289. 289.

    Nakajima M, et al. Improved survival of chimeric antigen receptor-engineered T (Car-T) and tumor-specific T cells caused by anti-programmed cell death protein 1 single-chain variable fragment-producing Car-T cells. Cancer Sci. 2019;110:3079-3088.

    Not in our library10.1111/cas.14169

  290. 290.

    Curran KJ, et al. Toxicity and response after Cd19-specific Car T-cell therapy in pediatric/young adult relapsed/refractory B-All. Blood. 2019;134:2361-2368.

    Not in our library10.1182/blood.2019001641

  291. 291.

    Xie G, et al. Car-T cells targeting a nucleophosmin neoepitope exhibit potent specific activity in mouse models of acute myeloid leukaemia. Nat. Biomed. Eng. 2021;5:399-413.

    Not in our library10.1038/s41551-020-00625-5

  292. 292.
  293. 293.

    Liu S, et al. Cd19-specific Car-T cell therapy for relapsed/refractory Non-B-cell acute leukaemia with Cd19 antigen expression. Eur. J. Cancer. 2021;153:1-4.

    Not in our library10.1016/j.ejca.2021.04.042

  294. 294.

    Zhu G, Zhang Q, Zhang J, Liu F. Targeting tumor-associated antigen: a promising Car-T therapeutic strategy for glioblastoma treatment. Front. Pharm. 2021;12:661606.

    Not in our library10.3389/fphar.2021.661606

  295. 295.

    Qin VM, D'Souza C, Neeson PJ, Zhu JJ. Chimeric antigen receptor beyond Car-T cells. Cancers. 2021;13:404.

    Not in our library10.3390/cancers13030404

  296. 296.
  297. 297.

    Strati P, Neelapu SS. Car-T failure: beyond antigen loss and T cells. Blood. 2021;137:2567-2568.

    Not in our library10.1182/blood.2020010462

  298. 298.

    Salinas RD, Durgin JS, O'Rourke DM. Potential of glioblastoma-targeted chimeric antigen receptor (Car) T-cell therapy. Cns Drugs. 2020;34:127-145.

    Not in our library10.1007/s40263-019-00687-3

  299. 299.

    Xue G, et al. Adoptive cell therapy with tumor-specific Th9 cells induces viral mimicry to eliminate antigen-loss-variant tumor cells. Cancer Cell. 2021;39:1610-1622.

    Not in our library10.1016/j.ccell.2021.09.011

  300. 300.

    Jatiani SS, et al. Myeloma Car-T Crs management with Il-1R antagonist anakinra. Clin. Lymphoma Myeloma Leuk. 2020;20:632-636.

    Not in our library10.1016/j.clml.2020.04.020

  301. 301.

    Pochon C, et al. Complications other than infections, Crs and Icans following Car T-cells therapy: recommendations of the Francophone Society of bone marrow transplantation and cell therapy (Sfgm-Tc). Bull. Cancer. 2021;108:S98-S103.

    Not in our library10.1016/j.bulcan.2021.10.004

  302. 302.

    Jiang H, et al. Improving the safety of Car-T cell therapy by controlling Crs-related coagulopathy. Ann. Hematol. 2019;98:1721-1732.

    Not in our library10.1007/s00277-019-03685-z

  303. 303.

    Hao Z, et al. Macrophage, the Potential Key Mediator in Car-T Related Crs. Exp. Hematol. Oncol. 2020;9:15.

    Not in our library10.1186/s40164-020-00171-5

  304. 304.

    Pan J, et al. Ruxolitinib mitigates steroid-refractory Crs during Car T therapy. J. Cell. Mol. Med. 2021;25:1089-1099.

    Not in our library10.1111/jcmm.16176

  305. 305.
  306. 306.

    Lichtenstein DA, et al. Characterization of Hlh-like manifestations as a Crs variant in patients receiving Cd22 Car T cells. Blood. 2021;138:2469-2484.

    Not in our library10.1182/blood.2021011898

  307. 307.

    Schubert ML, et al. Side-effect management of chimeric antigen receptor (Car) T-cell therapy. Ann. Oncol. 2021;32:34-48.

    Not in our library10.1016/j.annonc.2020.10.478

  308. 308.

    Bonifant CL, Jackson HJ, Brentjens RJ, Curran KJ. Toxicity and management in Car T-cell therapy. Mol. Ther. Oncolytics. 2016;3:16011.

    Not in our library10.1038/mto.2016.11

  309. 309.
  310. 310.

    Huang X, Yang Y. Driving an improved CAR for cancer immunotherapy. J. Clin. Invest. 2016;126:2795-2798.

    Not in our library10.1172/jci88959

  311. 311.
  312. 312.

    Morgan RA, et al. Case report of a serious adverse event following the administration of T cells transduced with a chimeric antigen receptor recognizing Erbb2. Mol. Ther. 2010;18:843-851.

    Not in our library10.1038/mt.2010.24

  313. 313.

    Majzner RG, et al. Tuning the antigen density requirement for Car T-cell activity. Cancer Disco. 2020;10:702-723.

    Not in our library10.1158/2159-8290.cd-19-0945

  314. 314.

    Wang L, et al. Chimeric antigen receptor (Car)-modified Nk cells against cancer: opportunities and challenges. Int. Immunopharmacol. 2019;74:105695.

    Not in our library10.1016/j.intimp.2019.105695

  315. 315.
  316. 316.

    Brown CE, Mackall CL. Car T cell therapy: inroads to response and resistance. Nat. Rev. Immunol. 2019;19:73-74.

    Not in our library10.1038/s41577-018-0119-y

  317. 317.
  318. 318.

    Zhao Z, et al. The application of Car-T cell therapy in hematological malignancies: advantages and challenges. Acta Pharm. Sin. B. 2018;8:539-551.

    Not in our library10.1016/j.apsb.2018.03.001

  319. 319.
  320. 320.
  321. 321.

    Bashiri DA, et al. Nk cells armed with chimeric antigen receptors (Car): roadblocks to successful development. Cells. 2021;10:3390.

    Not in our library10.3390/cells10123390

  322. 322.

    Sutherland AR, Owens MN, Geyer CR. Modular chimeric antigen receptor systems for universal Car T cell retargeting. Int. J. Mol. Sci. 2020;21:7222.

    Not in our library10.3390/ijms21197222

  323. 323.

    Morsut L, et al. Engineering Customized. Cell Sens. Response Behav. Using Synth. Notch Receptors. Cell. 2016;164:780-791.

    Not in our library10.1016/j.cell.2016.01.012

  324. 324.

    Shah NN, Fry TJ. Mechanisms of resistance to Car T cell therapy. Nat. Rev. Clin. Oncol. 2019;16:372-385.

    Not in our library10.1038/s41571-019-0184-6

  325. 325.

    Blaeschke F, et al. Augmenting anti-Cd19 and anti-Cd22 Car T-cell function using Pd-1-Cd28 checkpoint fusion proteins. Blood Cancer J. 2021;11:108.

    Not in our library10.1038/s41408-021-00499-z

  326. 326.

    Baird JH, et al. Cd22-directed Car T-cell therapy induces complete remissions in Cd19-directed Car-refractory large B-cell lymphoma. Blood. 2021;137:2321-2325.

    Not in our library10.1182/blood.2020009432

  327. 327.
  328. 328.

    Alizadeh D, et al. Il15 enhances Car-T cell antitumor activity by reducing Mtorc1 activity and preserving their stem cell memory phenotype. Cancer Immunol. Res. 2019;7:759-772.

    Not in our library10.1158/2326-6066.cir-18-0466

  329. 329.

    Wang X, et al. Phenotypic and functional attributes of lentivirus-modified Cd19-specific human Cd8+ central memory T cells manufactured at clinical scale. J. Immunother. 2012;35:689-701.

    Not in our library10.1097/cji.0b013e318270dec7

  330. 330.

    Feucht J, et al. Calibration of Car activation potential directs alternative T cell fates and therapeutic potency. Nat. Med. 2019;25:82-88.

    Not in our library10.1038/s41591-018-0290-5

  331. 331.

    Shao M, et al. Inhibition of calcium signaling prevents exhaustion and enhances anti-leukemia efficacy of Car-T cells via soce-calcineurin-Nfat and glycolysis pathways. Adv. Sci. 2022;9:e2103508.

    Not in our library10.1002/advs.202103508

  332. 332.

    Jayaraman K. Cut-price Car-T cell therapies top India's biotech agenda. Nat. Biotechnol. 2019;37:1388-1389.

    Not in our library10.1038/s41587-019-0346-1

  333. 333.

    Kron F, Franz J, Kron A, Hallek M. Economics and management of Car T-cell therapy: status quo and future perspectives. Internist. 2021;62:620-626.

    Not in our library10.1007/s00108-021-01042-9

  334. 334.

    Fathi E, et al. A general view of Cd33(+) leukemic stem cells and Car-T cells as interesting targets in acute myeloblatsic leukemia therapy. Blood Res. 2020;55:10-16.

    Not in our library10.5045/br.2020.55.1.10

  335. 335.

    Zoine JT, et al. Thrombopoietin-based Car-T cells demonstrate in vitro and in vivo cytotoxicity to mpl positive acute myelogenous leukemia and hematopoietic stem cells. Gene Ther. 2021;29:1-12.

    Not in our library10.1038/s41434-021-00283-5

  336. 336.

    El KN, et al. Demethylating therapy increases anti-Cd123 Car T cell cytotoxicity against acute myeloid leukemia. Nat. Commun. 2021;12:6436.

    Not in our library10.1038/s41467-021-26683-0

  337. 337.

    Kiesgen S, et al. Comparative analysis of assays to measure Car T-cell-mediated cytotoxicity. Nat. Protoc. 2021;16:1331-1342.

    Not in our library10.1038/s41596-020-00467-0

  338. 338.

    Thomas R, Yang X. Nk-Dc crosstalk in immunity to microbial infection. J. Immunol. Res. 2016;2016:6374379.

    Not in our library10.1155/2016/6374379

  339. 339.

    Marofi F, et al. Car-Nk cell: a new paradigm in tumor immunotherapy. Front. Oncol. 2021;11:673276.

    Not in our library10.3389/fonc.2021.673276

  340. 340.

    Chen S, et al. Genome-wide Crispr screen in a mouse model of tumor growth and metastasis. Cell. 2015;160:1246-1260.

    Not in our library10.1016/j.cell.2015.02.038

  341. 341.

    Gautron A, et al. Crispr screens identify tumor-promoting genes conferring melanoma cell plasticity and resistance. Embo Mol. Med. 2021;13:e13466.

    Not in our library10.15252/emmm.202013466

  342. 342.

    King CCar. Nk cell therapy for T follicular helper cells. Cell Rep. Med. 2020;1:100009.

    Not in our library10.1016/j.xcrm.2020.100009

  343. 343.

    Marofi F, et al. Car-Nk cell in cancer immunotherapy; a promising frontier. Cancer Sci. 2021;112:3427-3436.

    Not in our library10.1111/cas.14993

  344. 344.

    Liu E, et al. Cord blood Nk cells engineered to express Il-15 and a Cd19-targeted car show long-term persistence and potent antitumor activity. Leukemia. 2018;32:520-531.

    Not in our library10.1038/leu.2017.226

  345. 345.
  346. 346.

    Eguizabal C, et al. Natural killer cells for cancer immunotherapy: pluripotent stem cells-derived Nk cells as an immunotherapeutic perspective. Front. Immunol. 2014;5:439.

    Not in our library10.3389/fimmu.2014.00439

  347. 347.

    Qin Z, et al. Effect of Nk cell immunotherapy on immune function in patients with hepatic carcinoma: a preliminary clinical study. Cancer Biol. Ther. 2017;18:323-330.

    Not in our library10.1080/15384047.2017.1310346

  348. 348.

    Zhang M, et al. Il-15 enhanced antibody-dependent cellular cytotoxicity mediated by Nk cells and macrophages. Proc. Natl Acad. Sci. USA. 2018;115:E10915-E10924.

    Not in our library10.1073/pnas.1811615115

  349. 349.
  350. 350.

    Wellhausen N, et al. Better living through chemistry: Crispr/Cas engineered T cells for cancer immunotherapy. Curr. Opin. Immunol. 2022;74:76-84.

    Not in our library10.1016/j.coi.2021.10.008

  351. 351.

    Deng S, et al. Codelivery of Crispr-Cas9 and chlorin E6 for spatially controlled tumor-specific gene editing with synergistic drug effects. Sci. Adv. 2020;6:b4005.

    Not in our library10.1126/sciadv.abb4005

  352. 352.
  353. 353.

    Chen P, You L, Lu Y. Applications of Crispr-Cas9 technology in translational research on solid-tumor cancers. CRISPR J. 2018;1:47-54.

    Not in our library10.1089/crispr.2017.0001

  354. 354.

    Lu Y, et al. Safety and feasibility of Crispr-edited T cells in patients with refractory non-small-cell lung cancer. Nat. Med. 2020;26:732-740.

    Not in our library10.1038/s41591-020-0840-5

  355. 355.

    Stadtmauer, E. A. et al. Crispr-engineered T cells in patients with refractory cancer. Science367, eaba7365 (2020).

    Not in our library10.1126/science.aba7365

  356. 356.

    Hu Y, et al. Crispr/Cas9-engineered universal Cd19/Cd22 dual-targeted Car-T cell therapy for relapsed/refractory B-cell acute lymphoblastic leukemia. Clin. Cancer Res. 2021;27:2764-2772.

    Not in our library10.1158/1078-0432.ccr-20-3863

  357. 357.

    Singh N, et al. Impaired death receptor signaling in leukemia causes antigen-independent resistance by inducing Car T-cell dysfunction. Cancer Disco. 2020;10:552-567.

    Not in our library10.1158/2159-8290.cd-19-0813

  358. 358.

    Wang D, et al. Crispr screening of Car T cells and cancer stem cells reveals critical dependencies for cell-based therapies. Cancer Disco. 2021;11:1192-1211.

    Not in our library10.1158/2159-8290.cd-20-1243

  359. 359.

    Agarwal S, Wellhausen N, Levine BL, June CH. Production of human Crispr-engineered Car-T cells. J. Vis. Exp. 2021;15:e62299.

    Not in our library10.3791/62299

  360. 360.
  361. 361.

    Mollanoori H, Shahraki H, Rahmati Y, Teimourian S. Crispr/Cas9 and Car-T cell, collaboration of two revolutionary technologies in cancer immunotherapy, an instruction for successful cancer treatment. Hum. Immunol. 2018;79:876-882.

    Not in our library10.1016/j.humimm.2018.09.007

  362. 362.

    Artegiani B, et al. Probing the tumor suppressor function of Bap1 in Crispr-engineered human liver organoids. Cell Stem Cell. 2019;24:927-943.

    Not in our library10.1016/j.stem.2019.04.017

  363. 363.

    Stenger D, et al. Endogenous Tcr promotes in vivo persistence of Cd19-Car-T cells compared to a Crispr/Cas9-mediated Tcr knockout Car. Blood. 2020;136:1407-1418.

    Not in our library10.1182/blood.2020005185

  364. 364.

    Borcoman E, et al. Patterns of response and progression to immunotherapy. Am. Soc. Clin. Oncol. Educ. Book. 2018;38:169-178.

    Not in our library10.1200/edbk_200643

  365. 365.

    Dumoulin DW, et al. Renal toxicity from pemetrexed and pembrolizumab in the era of combination therapy in patients with metastatic nonsquamous cell Nsclc. J. Thorac. Oncol. 2020;15:1472-1483.

    Not in our library10.1016/j.jtho.2020.04.021

  366. 366.

    Goldberg SB, et al. Pembrolizumab for management of patients with nsclc and brain metastases: long-term results and biomarker analysis from a non-randomised, open-label, phase 2 trial. Lancet Oncol. 2020;21:655-663.

    Not in our library10.1016/s1470-2045(20)30111-x

  367. 367.

    Powell, S. F. et al. Outcomes with pembrolizumab plus platinum-based chemotherapy for patients with Nsclc and stable brain metastases: pooled analysis of keynote-021, -189, and -407. J. Thorac. Oncol. 16, 1883–1892 (2021).

    Not in our library10.1016/j.jtho.2021.06.020

  368. 368.

    Paz-Ares L, et al. A randomized, placebo-controlled trial of pembrolizumab plus chemotherapy in patients with metastatic squamous Nsclc: protocol-specified final analysis of keynote-407. J. Thorac. Oncol. 2020;15:1657-1669.

    Not in our library10.1016/j.jtho.2020.06.015

  369. 369.

    Garcia-Diaz A, et al. Interferon receptor signaling pathways regulating Pd-L1 and Pd-L2 expression. Cell Rep. 2019;29:3766.

    Not in our library10.1016/j.celrep.2019.11.113

  370. 370.

    Zaretsky JM, et al. Mutations associated with acquired resistance to Pd-1 blockade in melanoma. N. Engl. J. Med. 2016;375:819-829.

    Not in our library10.1056/nejmoa1604958

  371. 371.

    Costa SF, et al. Plasma thymidine kinase activity as a novel biomarker in metastatic melanoma patients treated with immune checkpoint inhibitors. Cancers. 2022;14:702.

    Not in our library10.3390/cancers14030702

  372. 372.

    Powles T, Morrison L. Biomarker challenges for immune checkpoint inhibitors in urothelial carcinoma. Nat. Rev. Urol. 2018;15:585-587.

    Not in our library10.1038/s41585-018-0056-3

  373. 373.

    Doroshow DB, et al. Pd-L1 as a biomarker of response to immune-checkpoint inhibitors. Nat. Rev. Clin. Oncol. 2021;18:345-362.

    Not in our library10.1038/s41571-021-00473-5

  374. 374.

    Hirashima T, et al. The levels of interferon-gamma release as a biomarker for non-small-cell lung cancer patients receiving immune checkpoint inhibitors. Anticancer Res. 2019;39:6231-6240.

    Not in our library10.21873/anticanres.13832

  375. 375.

    Lyu Q, et al. Alterations in Tp53 are a potential biomarker of bladder cancer patients who benefit from immune checkpoint inhibition. Cancer Control. 2020;27:1148411929.

    Not in our library10.1177/1073274820976665

  376. 376.

    Wang F, et al. Evaluation of pole and Pold1 mutations as biomarkers for immunotherapy outcomes across multiple cancer types. JAMA Oncol. 2019;5:1504-1506.

    Not in our library10.1001/jamaoncol.2019.2963

  377. 377.

    Rizvi NA, et al. Cancer immunology. Mutational landscape determines sensitivity to Pd-1 blockade in non-small cell lung cancer. Science. 2015;348:124-128.

    Not in our library10.1126/science.aaa1348

  378. 378.

    Domingo E, et al. Somatic pole proofreading domain mutation, immune response, and prognosis in colorectal cancer: a retrospective, pooled biomarker study. Lancet Gastroenterol. Hepatol. 2016;1:207-216.

    Not in our library10.1016/s2468-1253(16)30014-0

  379. 379.

    Lopez-Beltran A, et al. Immune checkpoint inhibitors in urothelial carcinoma: recommendations for practical approaches to Pd-L1 and other potential predictive biomarker testing. Cancers. 2021;13:1424.

    Not in our library10.3390/cancers13061424

  380. 380.

    Chaput L, Jordheim LP. Current landscape of biomarker development for immune checkpoint inhibitors targeting Pd-1/Pd-L1 pathway in oncology. Therapie. 2021;76:597-615.

    Not in our library10.1016/j.therap.2021.06.005

  381. 381.

    Zouein J, Kesrouani C, Kourie HR. Pd-L1 expression as a predictive biomarker for immune checkpoint inhibitors: between a dream and a nightmare. Immunotherapy. 2021;13:1053-1065.

    Not in our library10.2217/imt-2020-0336

  382. 382.
  383. 383.
  384. 384.

    Gong J, et al. Response to Pd-1 blockade in microsatellite stable metastatic colorectal cancer harboring a pole mutation. J. Natl Compr. Canc. Netw. 2017;15:142-147.

    Not in our library10.6004/jnccn.2017.0016

  385. 385.

    Mehnert JM, et al. Immune activation and response to pembrolizumab in pole-mutant endometrial cancer. J. Clin. Invest. 2016;126:2334-2340.

    Not in our library10.1172/jci84940

  386. 386.
  387. 387.

    Lobo J, et al. Detailed characterization of immune cell infiltrate and expression of immune checkpoint molecules Pd-L1/Ctla-4 and Mmr proteins in testicular germ cell tumors disclose novel disease biomarkers. Cancers. 2019;11:1535.

    Not in our library10.3390/cancers11101535

  388. 388.

    Guo X, et al. Case Report: complete response to antiangiogenesis and immune checkpoint blockade in an unresectable mmr-deficient leiomyosarcoma harboring biallelic loss of Pten. Front. Oncol. 2022;12:802074.

    Not in our library10.3389/fonc.2022.802074

  389. 389.

    Sahin IH, et al. Mismatch repair (Mmr) gene alteration and Braf V600E mutation are potential predictive biomarkers of immune checkpoint inhibitors in mmr-deficient colorectal cancer. Oncologist. 2021;26:668-675.

    Not in our library10.1002/onco.13741

  390. 390.

    Roudko V, et al. Lynch syndrome and Msi-H cancers: from mechanisms to “off-the-shelf” cancer vaccines. Front. Immunol. 2021;12:757804.

    Not in our library10.3389/fimmu.2021.757804

  391. 391.
  392. 392.

    Zhou C, et al. Good tumor response to chemoradioimmunotherapy in Dmmr/Msi-H advanced colorectal cancer: a case series. Front. Immunol. 2021;12:784336.

    Not in our library10.3389/fimmu.2021.784336

  393. 393.

    Oaknin A, et al. Safety and Antitumor Activity of Dostarlimab in Patients with Advanced Or Recurrent Dna Mismatch Repair Deficient/Microsatellite Instability-High (Dmmr/Msi-H) Or Proficient/Stable (Mmrp/Mss) Endometrial Cancer: Interim Results From Garnet-a Phase I, Single-Arm Study. J. Immunother. Cancer. 2022;10:e003777.

    Not in our library10.1136/jitc-2021-003777

  394. 394.

    Overman MJ, et al. Nivolumab in patients with metastatic dna mismatch repair-deficient or microsatellite instability-high colorectal cancer (checkmate 142): an open-label, multicentre, phase 2 study. Lancet Oncol. 2017;18:1182-1191.

    Not in our library10.1016/s1470-2045(17)30422-9

  395. 395.

    Sclafani F. Pd-1 inhibition in metastatic Dmmr/Msi-H colorectal cancer. Lancet Oncol. 2017;18:1141-1142.

    Not in our library10.1016/s1470-2045(17)30512-0

  396. 396.
  397. 397.

    Olivares-Hernandez A, et al. Influence of Dna mismatch repair (Mmr) system in survival and response to immune checkpoint inhibitors (Icis) in non-small cell lung cancer (Nsclc): retrospective analysis. Biomedicines. 2022;10:360.

    Not in our library10.3390/biomedicines10020360

  398. 398.

    Fuca G, et al. Ascites and resistance to immune checkpoint inhibition in Dmmr/Msi-H metastatic colorectal and gastric cancers. J. Immunother. Cancer. 2022;10:e004001.

    Not in our library10.1136/jitc-2021-004001

  399. 399.
  400. 400.

    Foote MB, et al. Tmb cut-offs fail to predict benefit of Pd-1 blockade in gastroesophageal adenocarcinoma in keynote-061. Ann. Oncol. 2021;32:1188-1189.

    Not in our library10.1016/j.annonc.2021.06.006

  401. 401.

    Liu L, et al. Combination of Tmb and Cna stratifies prognostic and predictive responses to immunotherapy across metastatic cancer. Clin. Cancer Res. 2019;25:7413-7423.

    Not in our library10.1158/1078-0432.ccr-19-0558

  402. 402.

    Weber S, et al. Dynamic changes of circulating tumor dna predict clinical outcome in patients with advanced non-small-cell lung cancer treated with immune checkpoint inhibitors. JCO Precis Oncol. 2021;5:1540-1553.

    Not in our library10.1200/po.21.00182

  403. 403.

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

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

  404. 404.

    Fenner AUsing. Ctdna to guide immunotherapy for urothelial cancer. Nat. Rev. Urol. 2021;18:443.

    Not in our library10.1038/s41585-021-00503-y

  405. 405.

    Furness AJ, Quezada SA, Peggs KS. Neoantigen heterogeneity: a key driver of immune response and sensitivity to immune checkpoint blockade? Immunotherapy. 2016;8:763-766.

    Not in our library10.2217/imt-2016-0064

  406. 406.

    Luksza M, et al. A neoantigen fitness model predicts tumour response to checkpoint blockade immunotherapy. Nature. 2017;551:517-520.

    Not in our library10.1038/nature24473

  407. 407.

    McGranahan, N. & Swanton, C. Neoantigen quality, not quantity. Sci. Transl. Med. 11, aax4905 (2019).

    Not in our library10.1126/scitranslmed.aax7918

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    Eckardt, J. et al. Tmb and Braf mutation status are independent predictive factors in high-risk melanoma patients with adjuvant anti-Pd-1 therapy. J. Cancer Res. Clin. Oncol. Epub ahead of print (2022).

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  409. 409.

    Anagnostou V, et al. Evolution of neoantigen landscape during immune checkpoint blockade in non-small cell lung cancer. Cancer Disco. 2017;7:264-276.

    Not in our library10.1158/2159-8290.cd-16-0828

  410. 410.

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

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  411. 411.
  412. 412.

    Fry TJ, et al. Cd22-targeted Car T cells induce remission in B-All that is naive or resistant to Cd19-targeted Car immunotherapy. Nat. Med. 2018;24:20-28.

    Not in our library10.1038/nm.4441

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

    Not in our library10.1038/d41586-021-01958-0

  414. 414.

    Takamura-Ishii M, Nakaya T, Hagiwara K. Regulation of constitutive interferon-stimulated genes (Isgs) in tumor cells contributes to enhanced antitumor response of newcastle disease virus-infected tumor vaccines. Cancers. 2018;10:186.

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  415. 415.

    Rossi J, et al. Preinfusion polyfunctional anti-Cd19 chimeric antigen receptor T cells are associated with clinical outcomes in Nhl. Blood. 2018;132:804-814.

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    Goyvaerts C, Breckpot K. Pros and cons of antigen-presenting cell targeted tumor vaccines. J. Immunol. Res. 2015;2015:785634.

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    Fraietta JA, et al. Determinants of response and resistance to Cd19 chimeric antigen receptor (Car) T cell therapy of chronic lymphocytic leukemia. Nat. Med. 2018;24:563-571.

    Not in our library10.1038/s41591-018-0010-1

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  419. 419.

    Melenhorst JJ, Barrett AJ. Tumor vaccines and beyond. Cytotherapy. 2011;13:8-18.

    Not in our library10.3109/14653249.2010.530649

  420. 420.

    Kaiser J. Personalized tumor vaccines keep cancer in check. Science. 2017;356:122.

    Not in our library10.1126/science.356.6334.122

  421. 421.

    Menez-Jamet J, Gallou C, Rougeot A, Kosmatopoulos K. Optimized tumor cryptic peptides: the basis for universal neo-antigen-like tumor vaccines. Ann. Transl. Med. 2016;4:266.

    Not in our library10.21037/atm.2016.05.15

  422. 422.

    Cassell DJ, Schwartz RH. A quantitative analysis of antigen-presenting cell function: activated B cells stimulate naive Cd4 T cells but are inferior to dendritic cells in providing costimulation. J. Exp. Med. 1994;180:1829-1840.

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  423. 423.

    Liu L, et al. Synergistic killing effects of Pd-L1-Car T cells and colorectal cancer stem cell-dendritic cell vaccine-sensitized T cells in Aldh1-positive colorectal cancer stem cells. J. Cancer. 2021;12:6629-6639.

    Not in our library10.7150/jca.62123

  424. 424.

    Subklewe M, et al. New generation dendritic cell vaccine for immunotherapy of acute myeloid leukemia. Cancer Immunol. Immunother. 2014;63:1093-1103.

    Not in our library10.1007/s00262-014-1600-5

  425. 425.

    Carreno BM, et al. Cancer immunotherapy. A dendritic cell vaccine increases the breadth and diversity of melanoma neoantigen-specific T cells. Science. 2015;348:803-808.

    Not in our library10.1126/science.aaa3828

  426. 426.

    Shi W, et al. A new Pd-1-specific nanobody enhances the antitumor activity of T-cells in synergy with dendritic cell vaccine. Cancer Lett. 2021;522:184-197.

    Not in our library10.1016/j.canlet.2021.09.028

  427. 427.

    Liu Y, et al. The adjuvant of alpha-galactosylceramide presented by gold nanoparticles enhances antitumor immune responses of Muc1 antigen-based tumor vaccines. Int J. Nanomed. 2021;16:403-420.

    Not in our library10.2147/ijn.s273883

  428. 428.

    Phua KK. Towards targeted delivery systems: ligand conjugation strategies for Mrna nanoparticle tumor vaccines. J. Immunol. Res. 2015;2015:680620.

    Not in our library10.1155/2015/680620

  429. 429.

    Pappalardo F, et al. Induction of T-cell memory by a dendritic cell vaccine: a computational model. Bioinformatics. 2014;30:1884-1891.

    Not in our library10.1093/bioinformatics/btu059

  430. 430.

    Van de Loosdrecht AA, et al. A novel allogeneic off-the-shelf dendritic cell vaccine for post-remission treatment of elderly patients with acute myeloid leukemia. Cancer Immunol. Immunother. 2018;67:1505-1518.

    Not in our library10.1007/s00262-018-2198-9

  431. 431.

    Ott PA, et al. Aneoantigen vaccine plus anti-Pd-1 elicits antitumor T-cell responses. Cancer Disco. 2020;10:1787.

    Not in our library

  432. 432.

    Ott PA, et al. Corrigendum: An immunogenic personal neoantigen vaccine for patients with melanoma. Nature. 2018;555:402.

    Not in our library10.1038/nature25145

  433. 433.

    Keskin DB, et al. Neoantigen vaccine generates intratumoral T cell responses in phase ib glioblastoma trial. Nature. 2019;565:234-239.

    Not in our library10.1038/s41586-018-0792-9

  434. 434.

    Ott PA, et al. An immunogenic personal neoantigen vaccine for patients with melanoma. Nature. 2017;547:217-221.

    Not in our library10.1038/nature22991

  435. 435.
  436. 436.

    Liu CJ, et al. Treatment of an aggressive orthotopic murine glioblastoma model with combination checkpoint blockade and a multivalent neoantigen vaccine. Neuro Oncol. 2020;22:1276-1288.

    Not in our library10.1093/neuonc/noaa050

  437. 437.

    Joglekar AV, et al. T cell antigen discovery via signaling and antigen-presenting bifunctional receptors. Nat. Methods. 2019;16:191-198.

    Not in our library10.1038/s41592-018-0304-8

  438. 438.

    Corrigan PA, Beaulieu C, Patel RB, Lowe DK. Talimogene laherparepvec: an oncolytic virus therapy for melanoma. Ann. Pharmacother. 2017;51:675-681.

    Not in our library10.1177/1060028017702654

  439. 439.

    Gourd E. Oncolytic virus therapy in advanced melanoma. Lancet Oncol. 2017;18:e649.

    Not in our library10.1016/s1470-2045(17)30782-9

  440. 440.

    Fukuhara H, Ino Y, Todo T. Oncolytic virus therapy: a new era of cancer treatment at dawn. Cancer Sci. 2016;107:1373-1379.

    Not in our library10.1111/cas.13027

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    Patel MR, Kratzke RA. Oncolytic virus therapy for cancer: the first wave of translational clinical trials. Transl. Res. 2013;161:355-364.

    Not in our library10.1016/j.trsl.2012.12.010

  442. 442.

    Taguchi S, Fukuhara H, Todo T. Oncolytic virus therapy in Japan: progress in clinical trials and future perspectives. Jpn. J. Clin. Oncol. 2019;49:201-209.

    Not in our library10.1093/jjco/hyy170

  443. 443.

    Godlewski J, et al. Oncolytic virus therapy alters the secretome of targeted glioblastoma cells. Cancers. 2021;13:1287.

    Not in our library10.3390/cancers13061287

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    Kaufman HL, Maciorowski D. Advancing oncolytic virus therapy by understanding the biology. Nat. Rev. Clin. Oncol. 2021;18:197-198.

    Not in our library10.1038/s41571-021-00490-4

  445. 445.

    Li J, et al. Gospel of malignant glioma: oncolytic virus therapy. Gene. 2022;818:146217.

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  446. 446.

    Cheema TA, et al. Multifaceted oncolytic virus therapy for glioblastoma in an immunocompetent cancer stem cell model. Proc. Natl Acad. Sci. USA. 2013;110:12006-12011.

    Not in our library10.1073/pnas.1307935110

  447. 447.

    Ribas A, et al. Oncolytic virotherapy promotes intratumoral T cell infiltration and improves anti-Pd-1 immunotherapy. Cell. 2017;170:1109-1119.

    Not in our library10.1016/j.cell.2017.08.027

  448. 448.

    Park AK, et al. Effective combination immunotherapy using oncolytic viruses to deliver car targets to solid tumors. Sci. Transl. Med. 2020;12:eaaz1863.

    Not in our library10.1126/scitranslmed.aaz1863

  449. 449.

    Wollmann G, Ozduman K, van den Pol AN. Oncolytic virus therapy for glioblastoma multiforme: concepts and candidates. Cancer J. 2012;18:69-81.

    Not in our library10.1097/ppo.0b013e31824671c9

  450. 450.

    Fidler IJ. Macrophage Therapy of Cancer Metastasis. Ciba Found. Symp. 1988;141:211-222.

    Not in our library10.1002/9780470513736.ch12

  451. 451.

    Petty AJ, Yang Y. Tumor-associated macrophages: implications in cancer immunotherapy. Immunotherapy. 2017;9:289-302.

    Not in our library10.2217/imt-2016-0135

  452. 452.

    Pathria P, Louis TL, Varner JA. Targeting tumor-associated macrophages in cancer. Trends Immunol. 2019;40:310-327.

    Not in our library10.1016/j.it.2019.02.003

  453. 453.

    Ngambenjawong C, Gustafson HH, Pun SH. Progress in tumor-associated macrophage (Tam)-targeted therapeutics. Adv. Drug Deliv. Rev. 2017;114:206-221.

    Not in our library10.1016/j.addr.2017.04.010

  454. 454.
  455. 455.

    Rothlin CV, Carrera-Silva EA, Bosurgi L, Ghosh S. Tam receptor signaling in immune homeostasis. Annu. Rev. Immunol. 2015;33:355-391.

    Not in our library10.1146/annurev-immunol-032414-112103

  456. 456.

    Lian G, et al. Colon cancer cell secretes Egf to promote M2 polarization of Tam through Egfr/Pi3K/Akt/Mtor pathway. Technol. Cancer Res. Treat. 2019;18:1078116716.

    Not in our library10.1177/1533033819849068

  457. 457.

    Ramesh A, Kumar S, Nandi D, Kulkarni A. Csf1R- and Shp2-inhibitor-loaded nanoparticles enhance cytotoxic activity and phagocytosis in tumor-associated macrophages. Adv. Mater. 2019;31:e1904364.

    Not in our library10.1002/adma.201904364

  458. 458.

    Vonderheide RH. Cd40 agonist antibodies in cancer immunotherapy. Annu. Rev. Med. 2020;71:47-58.

    Not in our library10.1146/annurev-med-062518-045435

  459. 459.

    Aehnlich P, et al. Tam receptor inhibition-implications for cancer and the immune system. Cancers. 2021;13:1195.

    Not in our library10.3390/cancers13061195

  460. 460.

    Xiao Z, et al. Antibody mediated therapy targeting Cd47 inhibits tumor progression of hepatocellular carcinoma. Cancer Lett. 2015;360:302-309.

    Not in our library10.1016/j.canlet.2015.02.036

  461. 461.

    Bewersdorf JP, Zeidan AM. Risk-adapted, individualized treatment strategies of myelodysplastic syndromes (Mds) and chronic myelomonocytic leukemia (Cmml). Cancers. 2021;13:1610.

    Not in our library10.3390/cancers13071610

  462. 462.
  463. 463.

    Barkal AA, et al. Cd24 signalling through macrophage Siglec-10 is a target for cancer immunotherapy. Nature. 2019;572:392-396.

    Not in our library10.1038/s41586-019-1456-0

  464. 464.

    Sun J, et al. Cd47-targeting antibodies as a novel therapeutic strategy in hematologic malignancies. Leuk. Res. Rep. 2021;16:100268.

    Not in our library10.1016/j.lrr.2021.100268

  465. 465.

    Lakhani NJ, et al. Evorpacept alone and in combination with pembrolizumab or trastuzumab in patients with advanced solid tumours (Aspen-01): a first-in-human, open-label, multicentre, phase 1 dose-escalation and dose-expansion study. Lancet Oncol. 2021;22:1740-1751.

    Not in our library10.1016/s1470-2045(21)00584-2

  466. 466.

    Petrova PS, et al. Tti-621 (Sirpalphafc): a Cd47-blocking innate immune checkpoint inhibitor with broad antitumor activity and minimal erythrocyte binding. Clin. Cancer Res. 2017;23:1068-1079.

    Not in our library10.1158/1078-0432.ccr-16-1700

  467. 467.

    Chao MP, et al. Anti-Cd47 antibody synergizes with rituximab to promote phagocytosis and eradicate non-Hodgkin lymphoma. Cell. 2010;142:699-713.

    Not in our library10.1016/j.cell.2010.07.044

  468. 468.

    Wang J, Zhang H, Yin X, Bian Y. Anti-Cd47 antibody synergizes with cisplatin against laryngeal cancer by enhancing phagocytic ability of macrophages. Clin. Exp. Immunol. 2021;205:333-342.

    Not in our library10.1111/cei.13618

  469. 469.

    Zhu S, et al. Tumor-associated macrophages: role in tumorigenesis and immunotherapy implications. J. Cancer. 2021;12:54-64.

    Not in our library10.7150/jca.49692

  470. 470.

    Gholamin S, et al. Disrupting the Cd47-sirpalpha anti-phagocytic axis by a humanized anti-Cd47 antibody is an efficacious treatment for malignant pediatric brain tumors. Sci. Transl. Med. 2017;9:eaaf2968.

    Not in our library10.1126/scitranslmed.aaf2968

  471. 471.
  472. 472.

    Ni YH, Zhao X, Wang W. Cd24, a review of its role in tumor diagnosis, progression and therapy. Curr. Gene Ther. 2020;20:109-126.

    Not in our library10.2174/1566523220666200623170738

  473. 473.
  474. 474.

    Bian Z, et al. Intratumoral sirpalpha-deficient macrophages activate tumor antigen-specific cytotoxic T cells under radiotherapy. Nat. Commun. 2021;12:3229.

    Not in our library10.1038/s41467-021-23442-z

  475. 475.

    Klichinsky M, et al. Human chimeric antigen receptor macrophages for cancer immunotherapy. Nat. Biotechnol. 2020;38:947-953.

    Not in our library10.1038/s41587-020-0462-y

  476. 476.

    Anderson NR, Minutolo NG, Gill S, Klichinsky M. Macrophage-based approaches for cancer immunotherapy. Cancer Res. 2021;81:1201-1208.

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  478. 478.

    Fricker J. Engineered macrophages: a new weapon in the war on cancer? Mol. Med. Today. 2000;6:181-182.

    Not in our library10.1016/s1357-4310(00)01700-7

  479. 479.

    Moyes KW, et al. Genetically engineered macrophages: a potential platform for cancer immunotherapy. Hum. Gene Ther. 2017;28:200-215.

    Not in our library10.1089/hum.2016.060

  480. 480.

    Weiskopf K, et al. Myeloid cell origins, differentiation, and clinical implications. Microbiol. Spectr. 2016;4:1128.

    Not in our library10.1128/microbiolspec.mchd-0031-2016

  481. 481.

    Kumar V, Patel S, Tcyganov E, Gabrilovich DI. The nature of myeloid-derived suppressor cells in the tumor microenvironment. Trends Immunol. 2016;37:208-220.

    Not in our library10.1016/j.it.2016.01.004

  482. 482.

    Hegde S, Leader AM, Merad M. Mdsc: markers, development, states, and unaddressed complexity. Immunity. 2021;54:875-884.

    Not in our library10.1016/j.immuni.2021.04.004

  483. 483.

    Gao X, et al. Immunotherapy targeting myeloid-derived suppressor cells (Mdscs) in tumor microenvironment. Front. Immunol. 2020;11:585214.

    Not in our library10.3389/fimmu.2020.585214

  484. 484.

    Li Q, Xiang M. Metabolic reprograming of Mdscs within tumor microenvironment and targeting for cancer immunotherapy. Acta Pharmacol. Sin. 2021;43:1337-1348.

    Not in our library10.1038/s41401-021-00776-4

  485. 485.

    Almand B, et al. Increased production of immature myeloid cells in cancer patients: a mechanism of immunosuppression in cancer. J. Immunol. 2001;166:678-689.

    Not in our library10.4049/jimmunol.166.1.678

  486. 486.

    Yang F, et al. The effect of immunosuppressive drugs on Mdscs in transplantation. J. Immunol. Res. 2018;2018:5414808.

    Not in our library10.1155/2018/5414808

  487. 487.

    Cioccarelli C, Molon B. Mdscs and T cells in solid tumors and non-hodgkin lymphomas: an immunosuppressive speech. Clin. Exp. Immunol. 2022;208:147-157.

    Not in our library10.1093/cei/uxac025

  488. 488.

    Xu X, et al. Carbohydrate-based adjuvants activate tumor-specific Th1 and Cd8(+) T-cell responses and reduce the immunosuppressive activity of Mdscs. Cancer Lett. 2019;440–441:94-105.

    Not in our library10.1016/j.canlet.2018.10.013

  489. 489.

    Hofer F, et al. A complex metabolic network confers immunosuppressive functions to myeloid-derived suppressor cells (Mdscs) within the tumour microenvironment. Cells. 2021;10:2700.

    Not in our library10.3390/cells10102700

  490. 490.

    Davis RJ, Van Waes C, Allen CT. Overcoming Barriers to effective immunotherapy: mdscs, tams, and tregs as mediators of the immunosuppressive microenvironment in head and neck cancer. Oral. Oncol. 2016;58:59-70.

    Not in our library10.1016/j.oraloncology.2016.05.002

  491. 491.
  492. 492.

    Qin M, Jin Y, Pan LY. Tertiary lymphoid structure and B-cell-related pathways: a potential target in tumor immunotherapy. Oncol. Lett. 2021;22:836.

    Not in our library10.3892/ol.2021.13097

  493. 493.
  494. 494.

    Vijayan D, Young A, Teng M, Smyth MJ. Targeting immunosuppressive adenosine in cancer. Nat. Rev. Cancer. 2017;17:709-724.

    Not in our library10.1038/nrc.2017.86

  495. 495.

    Tallon DLP, et al. Cd39(+)Pd-1(+)Cd8(+) T cells mediate metastatic dormancy in breast cancer. Nat. Commun. 2021;12:769.

    Not in our library10.1038/s41467-021-21045-2

  496. 496.

    Zheng Q, et al. Targeting the Ido-Bcl2a1-cytochrome C pathway promotes apoptosis in oral squamous cell carcinoma. Onco Targets Ther. 2021;14:1673-1687.

    Not in our library10.2147/ott.s288692

  497. 497.
  498. 498.

    Munn DHBlocking. Ido activity to enhance anti-tumor. Immun. Front. Biosci. 2012;4:734-745.

    Not in our library10.2741/e414

  499. 499.

    Popp FC, et al. Expression of immune checkpoint regulators Ido, Vista, Lag3, and Tim3 in resected pancreatic ductal adenocarcinoma. Cancers. 2021;13:2689.

    Not in our library10.3390/cancers13112689

  500. 500.

    Beatty GL, et al. First-in-human phase I study of the oral inhibitor of indoleamine 2,3-dioxygenase-1 epacadostat (Incb024360) in patients with advanced solid malignancies. Clin. Cancer Res. 2017;23:3269-3276.

    Not in our library10.1158/1078-0432.ccr-16-2272

  501. 501.

    Mitchell TC, et al. Epacadostat plus pembrolizumab in patients with advanced solid tumors: phase I results from a multicenter, open-label phase I/Ii trial (Echo-202/Keynote-037). J. Clin. Oncol. 2018;36:3223-3230.

    Not in our library10.1200/jco.2018.78.9602

  502. 502.

    Long GV, et al. Epacadostat plus pembrolizumab versus placebo plus pembrolizumab in patients with unresectable or metastatic melanoma (Echo-301/Keynote-252): a phase 3, randomised, double-blind study. Lancet Oncol. 2019;20:1083-1097.

    Not in our library10.1016/s1470-2045(19)30274-8

  503. 503.

    Li F, Zhang R, Li S, Liu J. Ido1: an important immunotherapy target in cancer treatment. Int. Immunopharmacol. 2017;47:70-77.

    Not in our library10.1016/j.intimp.2017.03.024

  504. 504.
  505. 505.

    Chen S, et al. Cd39: the potential target in small cell lung cancer. Transl. Lung Cancer Res. 2020;9:1483-1495.

    Not in our library10.21037/tlcr-20-798

  506. 506.

    Kashyap AS, et al. Antisense oligonucleotide targeting Cd39 improves anti-tumor T cell immunity. J. Immunother. Cancer. 2019;7:67.

    Not in our library10.1186/s40425-019-0545-9

  507. 507.

    Sonigo G, et al. Involvement of the Cd39/Cd73/adenosine pathway on T cell proliferation and Nk cell-mediated Adcc in sezary syndrome. Blood. 2022;139:2712-2716.

    Not in our library10.1182/blood.2021014782

  508. 508.

    Yan J, et al. Control of metastases via myeloid Cd39 and Nk cell effector function. Cancer Immunol. Res. 2020;8:356-367.

    Not in our library10.1158/2326-6066.cir-19-0749

  509. 509.
  510. 510.

    Moesta AK, Li XY, Smyth MJ. Targeting Cd39 in cancer. Nat. Rev. Immunol. 2020;20:739-755.

    Not in our library10.1038/s41577-020-0376-4

  511. 511.

    Koh J, et al. Mdsc subtypes and Cd39 expression on Cd8(+) T cells predict the efficacy of anti-Pd-1 immunotherapy in patients with advanced Nsclc. Eur. J. Immunol. 2020;50:1810-1819.

    Not in our library10.1002/eji.202048534

  512. 512.

    Takenaka MC, Robson S, Quintana FJ. Regulation of the T cell response by Cd39. Trends Immunol. 2016;37:427-439.

    Not in our library10.1016/j.it.2016.04.009

  513. 513.

    Allard D, Allard B, Stagg J. On the mechanism of anti-Cd39 immune checkpoint therapy. J. Immunother. Cancer. 2020;8:e000186.

    Not in our library10.1136/jitc-2019-000186

  514. 514.

    Leem G, et al. 4-1Bb co-stimulation further enhances anti-Pd-1-mediated reinvigoration of exhausted Cd39(+) Cd8 T cells from primary and metastatic sites of epithelial ovarian cancers. J. Immunother. Cancer. 2020;8:e001650.

    Not in our library10.1136/jitc-2020-001650

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