Zhengguo Wu1†
Xiao Zhu- 1Department of Thoracic Surgery, Yantian District People’s Hospital, Shenzhen, China
- 2Guangdong Key Laboratory for Research and Development of Natural Drugs, Guangdong Medical University, Zhanjiang, China
- 3Central Laboratory, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, China
- 4Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China
- 5First Affiliated Hospital, Bengbu Medical College, Bengbu, China
Cancer immunotherapy is a kind of therapy that can control and eliminate tumors by restarting and maintaining the tumor-immune cycle and restoring the body’s normal anti-tumor immune response. Although immunotherapy has great potential, it is currently only applicable to patients with certain types of tumors, such as melanoma, lung cancer, and cancer with high mutation load and microsatellite instability, and even in these types of tumors, immunotherapy is not effective for all patients. In order to enhance the effectiveness of tumor immunotherapy, this article reviews the research progress of tumor microenvironment immunotherapy, and studies the mechanism of stimulating and mobilizing immune system to enhance anti-tumor immunity. In this review, we focused on immunotherapy against tumor microenvironment (TME) and discussed the important research progress. TME is the environment for the survival and development of tumor cells, which is composed of cell components and non-cell components; immunotherapy for TME by stimulating or mobilizing the immune system of the body, enhancing the anti-tumor immunity. The checkpoint inhibitors can effectively block the inhibitory immunoregulation, indirectly strengthen the anti-tumor immune response and improve the effect of immunotherapy. We also found the checkpoint inhibitors have brought great changes to the treatment model of advanced tumors, but the clinical treatment results show great individual differences. Based on the close attention to the future development trend of immunotherapy, this study summarized the latest progress of immunotherapy and pointed out a new direction. To study the mechanism of stimulating and mobilizing the immune system to enhance anti-tumor immunity can provide new opportunities for cancer treatment, expand the clinical application scope and effective population of cancer immunotherapy, and improve the survival rate of cancer patients.
Introduction
Tumor microenvironment (TME) is a complex environment in which tumor cells depend for survival and development. The tumor microenvironment is composed of cellular components and non-cellular components (1). The cell components include tumor cells, inflammatory cells, immune cells, mesenchymal stem cells, endothelial cells, and tumor-related fibroblasts. Non-cellular components, including cytokines and chemokines, constitute a complex tumor microenvironment. These cellular and non-cellular components work together to support tumor growth (Figure 1). Tumor and its microenvironment interact and promote each other through angiogenesis, immunosuppression and other means (2). Therefore, the influence of tumor microenvironment on treatment must be considered when developing tumor treatment methods, or targeted tumor microenvironment treatment methods should be adopted. In the past, researchers have focused on targeting cancer cells themselves, such as traditional chemoradiotherapy and targeted therapies that target the tumor itself. In recent years, the treatment of tumor against tumor microenvironment has become a hot spot of tumor treatment. Studies have found that this kind of treatment can often bring better results. Anti-angiogenesis therapy and immunotherapy are the mainstream treatment methods for tumor microenvironment at present (Figure 1). The aim of tumor immunology therapy is to stimulate or mobilize the body’s immune system and enhance tumor microenvironment anti-tumor immunity, so as to control and kill tumor cells (3). There are many methods of tumor immunological therapy (4) (5), including tumor vaccine (6), immune-guided therapy, cell adoptive immunotherapy (7), cytokine therapy, gene therapy (8) and comprehensive therapy. Immunotherapy of tumor, whether a single drug or combination therapy, has shown clinical efficacy in many kinds of cancer, so it has attracted more and more attention (3, 9). Although immunotherapy has great potential, it is currently only applicable to patients with certain types of tumors, such as melanoma, lung cancer, and cancer with high mutation load and microsatellite instability, and even in these types of tumors, immunotherapy is not effective for all patients. In addition, the skin toxicity, gastrointestinal toxicity and other side effects caused by immunotherapy of tumor should not be ignored (10). This article reviews the mechanism of immune resistance, principle of immunotherapy for cancer, the application of new immunotherapy for cancer and immunotherapy in different tumors. It also introduces the new strategies to overcome the resistance of immunotherapy for cancer, the methods to improve the curative effect of immunotherapy and to alleviate side effects, as well as the screening, treatment and effectiveness evaluation of beneficiaries before immunotherapy.
Figure 1 The tumor microenvironment is composed of cellular and non-cellular components that support tumor growth. Tumor and its microenvironment interact and promote each other through angiogenesis and immunosuppression. Therefore, targeting tumor microenvironment in anti-tumor therapy can make greater progress, such as inhibiting tumor angiogenesis and tumor immunity.
Mechanisms of Immune Resistance
Standard immunotherapy has not been as effective as expected in the treatment of aggressive and advanced cancers. This is due to decreased immunogenicity and increased immune tolerance. When the immune “hot” tumor becomes “cold” or immunosuppressed, the tumor recurs (11, 12). Lack of understanding of these mechanisms may hinder the development and clinical application of tumor immunotherapy.
Tumor Cell Heterogeneity
Tumor heterogeneity refers to the presence of cells with many different genotypes or subtypes within the same tumor (13–15). Therefore, the same kind of tumor in different individuals can show different therapeutic effects and prognosis, and even the same body tumor cells have different characteristics and differences. Subclones usually survive treatment and lay quiescent. When selective pressure is removed, the cells can produce signaling factors that increase the tumorigenicity and growth ability of tumor cells, a process known as subcloning synergy. The influence of drug-resistant subclones is the basis of the limited efficacy of current immunotherapy (16).
Major Histocompatibility Complex
The loss of MHC Class I and Class II molecules has been shown to be associated with tumor progression. Human MHC or Human Leukocyte Antigen 1 (HLA-I) molecules are encoded by a series of polymorphic genes with multiple alleles or haplotypes. The most common method for these allele alterations is loss of heterozygosity in the coding region of HLA and 2-microglobulin (an essential element of the HLA-I complex), resulting in loss of HLA-I haplotypes, and loss of chromosome 15 (7, 17). Tumor cells also have a tendency to evade NK cell detection by regulating the expression of MHC class I-like NKG2D ligands.
Anti-Apoptotic Mechanisms
Tumor cells use a complex network of hyperactivated signaling pathways to protect cells from apoptosis and ensure their continued survival and proliferation. Common signaling pathways are Ras/Braf/Mek/MAPK pathway and PI3K/Akt pathway. Activation of MAPK pathway can promote the expression of tumor immune editing, immunosuppressive cytokines and checkpoint markers, and reduce the infiltration of CTL (18, 19). The hyperactivated PI3K/Akt pathway has these functions after the loss of its physiological inhibitor, the phosphatase and tensin homolog (PTEN). Abnormal PI3K/Akt signaling pathway inhibits cell apoptosis by up-regulating the expression of Bcl-2 and reducing the level of apoptotic regulators.
Immune Checkpoint Ligands
The coinhibitory checkpoint ligand on the APC interacts with the receptor on the lymphocyte to prevent self-reactivity and maintain peripheral tolerance. When a programmed death receptor of T cell encounters these checkpoint ligands and is unable to fully respond to its target, the T cell experiences impotence or failure (the “off switch”) (20, 21). Although a series of features of this ligand are normal tissue, tumor cells are known to have the ability to inhibit tumor-specific t cell function. PD-L1 and CTLA-4 are the most studied checkpoint ligands (6, 22).
New Approaches to Tumor Immunity
Cancer Vaccines
Tumor vaccines amplify tumor-specific T cell responses by generating active immunity by identifying tumor-associated antigens. The active components of cancer vaccines consist of four key components described below: tumor antigens (6), preparations, immune adjuvants, and delivery vectors (23). There are two types of cancer vaccines. One is used to prevent cancer. The other, which is used to treat cancer, is emerging immunotherapy. It stimulates the body’s immune system to fight, killing cancer cells and preventing them from spreading and returning.
New York esophageal squamous cell 1 (NY-ESO-1), a kind of cancer/testis antigen (CTA), is a cancer-associated protein found in many invasive tumors (24). It is widely expressed in breast cancer, bladder cancer, prostate cancer, melanoma, NSCLC, hepatocellular carcinoma, ovarian cancer and other cancers, with a range of 20-80%. It is one of the most immunogenic antigens in the body, so it is considered as an ideal target antigen for tumor immunotherapy. NY-ESO-1 cancer vaccine is made with NY-ESO-1 as the target antigen. DC cells ingested cancer-specific antigens composed of NY-ESO-1 derived peptides and presented them to the tumor microenvironment. DC vaccines containing NY-ESO-1 peptide directly stimulate T cells to fight tumors (25). Racotumomab is a murine gamma-type anti-idiotype monoclonal antibody that specifically induces an antibody response against Neu-glycolyl GM3 ganglioside. The best clinically active heat shock protein for advanced NSCLC patients ACTS as an intracellular chaperone, binding and presenting tumor antigens on specialized APC via MHCI and II molecules, leading to activation of anti-tumor T cells. Racotumomab has been shown to be a maintenance therapy for advanced non-small cell lung cancer (26). The tumor antigen of the CryoVax vaccine comes from a chaperone released by substances inside the tumor. The vaccine currently targets patients with advanced metastatic colorectal cancer. It can be used as a tumor antigen and adjuvant to regulate the immune response in vivo. The aim of the CryoVax vaccine is to create “hot” tumors in these patients and then naturally block the expression of checkpoint molecules. Currently, AlloVax vaccine is mainly used in patients with advanced liver cancer. The chaperones in tumor cells carry autologous tumor-specific peptides (antigens) that confer tumor-specific immunity. AlloVax vaccines contain protein-associated cell lysates (CRCL). After AlloVax injection, CRCL contains a lot of tumor antigens, so it increases the chances of the body producing an effective immune response to all tumors. Ronald Levy and other researchers developed a new cancer vaccine, irradiation of iPSCs as an autogenous anti-tumor vaccine. They found that the new cancer vaccine is suitable for many different types of cancer, including breast cancer and colorectal cancer (27).
CAR-T Cell Immunotherapy
CAR-T cell immunotherapy (chimeric antigen receptor T cell immunotherapy) is a new type of cancer immunotherapy. Car-T therapy extracts some T cells from patients and gene modification them to make T cells express new receptor CAR. After proliferation, they are infused back into the patient’s body (Figure 2). These T cells can quickly identify and destroy target cells using their CAR receptors (28). Compared with surgery, radiotherapy, chemotherapy, targeted therapy and hematopoietic stem cell transplantation, CAR-T cell immunotherapy is more accurate, flexible, spectral and durable. It has a remarkable curative effect in the treatment of acute leukemia and non-Hodgkin lymphoma (29). In a recent study, researchers found that CAR-T therapy is effective in treating patients with glioblastoma and can remove 80% of the tumors (30). Moreover, the combination of anti-cancer vaccine and CAR-T therapy can stimulate the immune system to produce memory T cells and prevent the recurrence of tumors (31, 32).
Figure 2 Immune T cells were isolated from patients and genetically engineered in vitro to be fitted with chimeric antigen receptors (CAR) that recognize cancer cell surface antigens. The modified cells are amplified in large Numbers in vitro and injected back into the patient to achieve the therapeutic effect of accurately identifying and killing cancer cells.
TCR-T Therapy
Although the existing CAR T treatment has shown significant efficacy in clinical trials for acute and chronic lymphoblastic leukemia, the available targets for CAR T treatment are limited, the treatment of solid tumors has not been very effective, and the adverse reactions caused by CAR T treatment are sometimes difficult to control. Compared with CAR T, TCR-T therapy can select more targets and has better efficacy in solid tumors with fewer side effects. TCR-T therapy improves the affinity and combat effectiveness of TCR (T cell antigen receptor) that specifically recognizes tumor-associated antigen by transducing chimeric antigen receptor or TCR α/β heterodimer, enabling T lymphocytes to re-efficiently recognize target cells (33).
In a collaborative trial study, researchers found that preliminary clinical results from patients receiving TCR-T cell therapy showed encouraging positive signs. TCR had better binding affinity after improvement. TCR-T cells showed excellent expression level. The persistence of therapeutic effects has been demonstrated in preliminary studies. In addition, researchers have developed other HLA subtypes to treat more patients with different HLA subtypes in the future. At present, more and more enterprises at home and abroad have carried out research on TCR-T therapy.
Fusion Cell Therapy
Fusion cell therapy is a kind of therapy that uses cancer cells of patients to develop new dendritic cells to attack cancer cells. Through the direct fusion of cancer cells and dendritic cells of cancer patients, new dendritic cells are cultivated. When the new dendritic cells are reinjected near the lymph nodes, they will educate T cells that can remember a lot of cancer antigen features. Even if the cancer cells hide a feature, the T cells will recognize them from other features, leaving the cancer cells nowhere to hide, and finally be killed. A phase II trial of fused cell vaccine + IL-12 in 15 patients with brain tumors (gliomas) showed that the treatment prevented 73 percent of the disease from deteriorating, with a clinical response rate of 40 percent (34). Avigan et al. has investigated the efficacy of the fused cell vaccine in treating kidney cancer (35), showing that the vaccine contains both dendritic cells of the patient and the patient’s own cancer antigen, which can induce a wide immune response and make it difficult for cancer cells to escape under the surveillance of the immune system. Avigan et al. found that the combination of the fused cell vaccine and anti-PD-1 antibodies was also applicable to blood cancers such as leukemia and myeloma (36). Because the vaccine is based on the patient’s cells, a completely customized cancer vaccine modulation is realized without any side effects.
CAR - NKT Therapy
The researchers found that natural killer T cells (NKT) are a special subset of T cells that have both the T cell receptor TCR and the NK cell receptor on their surface (37). NKT cells destroy cancer cells by releasing cytotoxic particles (38). Car-nkt cell therapy is to separate the NKT cells from the blood of patients or healthy people, and collect them back to the patients after reaching a certain amount of culture in vitro. Researchers conducted a phase I clinical trial based on engineered CAR-NKT cells to evaluate CAR-NKT cell therapy in children with recurrent neuroblastoma. At present, two children with neuroblastoma have been treated. One patient was stable at 4 weeks follow-up. The other patient had two bone tumors, one of which disappeared completely (39).
LN - 145 Therapy
LN-145 is a therapy (40) developed by Iovance which amplifies and activates the anti-tumor activity of autologous TILs in vitro, and returns them to the patient. TIL is a special lymphocyte mobilized by the immune system in the early stage of cancer. These lymphocytes have the ability to recognize and attack the flow of tumors and penetrate into tumors. LN-145 therapy extracts TIL from patients and then stimulates TIL amplification in vitro with IL-2 cytokines. This not only increases the number of TIL, but also activates TIL’s anti-tumor ability. Finally, these TILs were injected back into the patient to play a more powerful role in killing cancer cells. LN-145 therapy has shown amazing data in clinical trials (41). FDA approved LN-145 for breach-through treatment of advanced cervical cancer and accelerated its approval for listing.
Checkpoint Inhibitor
After the activation of T cells involved in anti-tumor immune response, the expression of various inhibitory regulatory receptors on the surface of T cells was up-regulated, and combined with the corresponding ligands highly expressed on the surface of tumor cells, which inhibited the immune response and down regulated the intensity of tumor related immune response. In the process of immune response, the sites with inhibitory immunoregulation are called immune checkpoints. Traditional immunotherapy is mainly to induce or strengthen anti-tumor immune response, but due to the existence of immunosuppressive immune regulation, such as immune checkpoints, often cannot produce lasting and effective anti-tumor immune effect. Checkpoint inhibitors can effectively block the inhibitory immunoregulation of PD-1/PD-L1, CTLA-4 and other immune checkpoints, so as to indirectly strengthen the anti-tumor immune response and improve the effect of immunotherapy. The combination of these two checkpoint inhibitors has also been evaluated clinically for improved efficacy but increased toxicity. The anti-CTLA-4 antibody ipilimumab was shown to be effective for advanced melanoma for the first time (42–44). At present, CTLA-4 and PD-1 inhibitors have been used in clinical immunosuppression. Among them, CTLA-4 inhibitors include apilimumab, tremelimumab, etc. PD-1 inhibitors include nivolumab, pembrolizumab, pidilizumab, etc. In recent years, the biomarkers of immunocheckpoint inhibitors have developed rapidly. This is due to the research on the mechanism of the interaction between tumor and host genome, tumor microenvironment and immune function. T cells are activated by two signals (TCR-MHC-peptide recognition antigen and CD28 something CD 80/86 costimulatory signal). Mutations in Tumor Cell Genomes or proteins that are abnormally expressed are processed into peptides that bind (or fail to bind) to MHC class I molecules. Immunogenic peptides (MHC-bond immunogenic peptides) trigger a subsequent immune response. Generally, the higher the mutation load, the higher the possibility of producing MHC-bond peptides. Inhibitory immune cells (such as tumor-associated macrophages) and tumor-causing inflammatory mediators (such as TNF-α、 IL-6、 TGF-β) in tumor microenvironment can stimulate tumor cell proliferation and induce tumor angiogenesis by inhibiting NF-κB and STAT3 signaling pathways, promote the tumor immune escape as well as the tumor invasion and metastasis (45–47).
Regulatory T Cells
Tregs is a subtype of CD4 cells, which can inhibit immune response, maintain immune tolerance and prevent autoimmune. Tregs can enhance immune function and help maintain homeostasis. In cancer, however, Tregs infiltrate the tumor microenvironment (7, 48, 49). This is associated with poor prognosis and poor response to immunotherapy. In animal models, the removal of Tregs has been shown to improve the anti-tumor immune response. CTLA-4 is highly expressed on Tregs. Treatment with anti-CTLA-4 antibody could deplete Tregs in tumor microenvironment in mice. This is achieved through a mechanism that relies on tissue to host macrophages. However, some studies have shown that enhanced tumor therapy via anti-CTLA-4 antibody is dependent on interactions with Tregs and T effectors (50, 51).
PD-1/PD-L1 and Tumor Immunotherapy
In normal and stable state, PD-L1 pathway can maintain immune homeostasis and protect immune system. In canceration, PD-L1 can disrupt the tumor’s immune cycle in two ways, thus protecting the tumor from damage by cytotoxic T cells. First, over-expression of PD-L1 on the surface of tumor-infiltrating immune cells in lymph nodes prevents the initiation and activation of new cytotoxic T cells and their recruitment into the tumor (52). Secondly, in the tumor microenvironment, the up-regulation of PD-L1 on the surface of dendritic cells leads to the inactivation of cytotoxic t cells. In both cases, PD-L1 interacts with PD-1, a homologous ligand on the surface of T cells, which can inhibit the function of T cells, alter their phenotypes, induce T cell tolerance, inhibit T cell proliferation, and reduce cytokine production, blocking T cell recognition of tumor cells (53, 54).
Autophagy
Tumors often adapt to resource deprivation through different survival mechanisms, such as autophagy. Autophagy is the process of degradation and recycling of self-nutrients through lysosomal pathway, clearing away damaged organelles and protein aggregates, thereby maintaining cell steady-state catabolism. Autophagy is beneficial to normal cells, but in tumors, it helps malignant cells adjust and adapt to adverse conditions, allowing them to develop and continue to grow. In addition, the PD-1/PD-L1 signaling pathway plays a key role in tumor function and survival (55, 56). Autophagy is influenced by the PD-L1 ligand. The results of mouse melanoma cells and human ovarian cells showed that cells with high expression of PD-L1 receptor were more sensitive to autophagic inhibitors than cells with low expression of PD-L1 (57). Preclinical studies in mice with human melanoma xenografts have shown that the combination of Anthracycline and autophagy inhibitors enhances the anti-tumor T cell response. The same study also showed that autophagy inhibitors have no significant side effects on the immune system. These results provide new opportunities for cancer therapy, such as drugs targeting the PD-1/PD-L1 axis in combination with autophagy inhibitors. Although autophagy inhibitors in combination with anti-PD-L1 agents offer a new direction for cancer therapy, autophagy inhibitors are only one part of a complex network of pathways that affect the immune system’s role in tumor cell death, further research is needed to identify the various scenarios in which autophagy inhibitors are effective against cancer (58).
Tumor-Associated Macrophages
A study has shown that both rats and humans express PD-1 in their Tumor-associated macrophage. As the tumors proliferated, the expression of PD-1 increased significantly in both mice and human tumor-associated macrophage. The higher the expression of PD-1 in tumor-associated macrophage, the lower the phagocytosis of tumor cells. Blocking PD-1/PD-L1 in Vivo can increase the phagocytosis of macrophages, slow down the growth of tumor and prolong the survival time of tumor model in mice. The greater the number of megakaryocytes given, the longer the survival time. Thus, PD-1/PD-L1 therapy can also play a role through macrophages, which has substantial significance for the creation of new tumor immunotherapy methods (59, 60).
CD47
CD47 is a widely expressed transmembrane glycoprotein, also known as integrin-associated Protein (IAP), an immunoglobulin superfamily protein that is expressed on the surface of almost every cell in the body. CD47 protects healthy cells from the immune system by binding to the n terminal of the immune cell signal-regulating protein α (SIRPα), signaling “don’t eat me” and inhibiting the phagocytosis of macrophages. In the meantime, CD47, as a “don’t eat me” signal, protects tumor cells from phagocytosis by macrophages, which has become a new mechanism of tumor development and development, and has also explored a new effective way for tumor immunotherapy (61, 62). CD47 antibodies target a variety of indications, including hematological malignancies such as non-Hodgkin Lymphoma and acute myeloid leukemia (AML), as well as solid tumors such as colorectal cancer, ovarian, and bladder cancers (63).
Screening and Evaluation of the Benefit Group Before Immunotherapy
Due to the remarkable efficacy of immunotherapy in tumor therapy, immunotherapy is regarded as one of the most promising therapeutic strategies in the field of tumor therapy in recent years. Immuno-checkpoint inhibitors have brought great changes to the treatment model of advanced tumors, but the clinical treatment results show great individual differences (64). Only a small number of patients show a lasting response to the drug, most patients do not show a lasting response. It has become an especially urgent problem for doctors and patients how to predict the curative effect and screen the effective immunotherapy population before treatment.
Tumor Microenvironment Scoring System
Zeng et al. found that the tumor microenvironment scoring system is not only related to the prognosis of tumor patients, but also has important value for the screening of immunotherapy beneficiaries. Through PCA algorithm, they scored the tumor microenvironment of gastric cancer patients, and found that the higher the tumor microenvironment score, the stronger the anti-tumor immune response-ability, the greater the potential of benefiting from immunotherapy, and the longer the survival time of gastric cancer patients (65).
TIDE Algorithm
Studies have shown that T-cell function-related tumor immune dysfunction and rejection (TIDE) algorithm can predict the efficacy of immunotherapy. TIDE score was high, the efficacy of immune checkpoint blocking therapy (ICB) was poor, and the survival period after ICB treatment was short. TIDE is better than other markers such as PD-L1, mutation load and IFN-γ in predicting the efficacy of first-line treatment of melanoma with ICB (66).
PD-1/PD-L1
Initial studies focused on the expression of PD-1/PD-L1 in tumor cells and surrounding immune cells. A team found that PD-1/PD-L1 antibodies work by mobilizing macrophages infiltrating tumor tissue to gobble up and destroy tumor cells (58, 67, 68). It is believed that the higher the expression of PD-1/PD-L1, the better the effect of immunotherapy. It does present this trend in clinical practice. However, some patients with negative expression of PD-1/PD-L1 also benefit from the treatment of PD-1/PD-L1 monoclonal antibody (59, 69), so it is not recognized as the only precise biomarker to guide immunotherapy.
Tumor Mutation Load
Through total exon sequencing, Yang et al. found that tumor patients with good therapeutic benefits generally have high somatic mutation load. At the same time, patients with high tumor mutation load are more likely to benefit from anti-CTLA-4 treatment (70). The researchers found a similar pattern in non-small cell lung cancer. In general, the higher the mutation load of the tumor, the stronger the immune response provoked, and the better the effect of immunotherapy. In addition, microsatellite instability (MSI) (21) and DNA mismatch repair functional defect (dMMR) are also potential biomarkers. In the analysis of more than 60,000 tumor samples, Volkov et al. found that MSI-H patients generally had high tumor mutation load (71). On the other hand, it also reflects that the tumor mutation load is correlated with the benefit of immune checkpoint inhibitors (72, 73). Tumor patients with MSI-h characteristics, or tumor patients with mismatched repair gene defect (dMMR), tend to benefit from immune checkpoint inhibitor therapy (74). FDA announces MSI as a molecular diagnostic marker for tumor immune checkpoint inhibitor therapy. This is great progress in using standard biomarkers to guide immunotherapy.
Classical Monocytes With CD14+CD16-HLA-DRhi Phenotype
Researchers selected 20 melanoma patients as study subjects (75) and found that the proportion of classical monocytes with CD14+CD16-HLA-DRhi phenotype in the peripheral blood of patients can be used as biomarkers for predicting PD-1 drug reactivity. According to the experimental model, the researchers determined 19.38% as the optimal threshold, that is, when the subgroup ratio of CD14+CD16-HLA-DRhi is greater than 19.38%, the treatment regimen with antibody PD-1 is recommended for patients. The results show a bright application prospect of this research.
Invasive T Cells and T Cell Receptor
Tumors with more invasive T cells (CD8+, killer T cells) surrounding cancer cells are known as “hot” tumors. Numerous studies have found that immune checkpoint inhibitors have a very good effect on “hot” tumors (76, 77). Moreover, it is theoretically believed that the more extensive the expression spectrum of T cells after treatment, the more it can reflect that the drug activates the immune function of the body. In fact, some studies have found that immune checkpoint inhibitors have limited effects on “hot” tumors. Scheper et al. argues that rather than categorizing a tumor as “hot” or “cold” simply by the number of T cells it has infiltrated, it should be determined whether the TCR of these t-cells can recognize a tumor (78). They set up a platform to analyze whether infiltrating T cells in tumors can recognize surrounding cancer cells. TCR can be used to accurately analyze whether killer T cells in tumors have the potential to fight cancer. Schumacher et al. (79) suggest that increasing the coverage of TCR on the surface of T cells infiltrating tumors may enhance the therapeutic effect of immune checkpoint inhibitors.
CD39
Simoni et al. found that CD39 may be a predictive biomarker for patients to respond to CD8 + TIL targeted cancer immunotherapy. Whether CD8+ TIL cells express CD39 or can predict the response degree of patients to PD-1 antibody therapy, it is of great help to screen more potential anticancer T cells in TIL and CAR-T cell therapy, and further expand the immunotherapy (80–82).
Conclusions, Problems and Prospective
Immunotherapy of tumor is a very popular anti-tumor treatment method in recent years, and is expected to become the main means of anti-tumor treatment in the future. Based on large number of research results, it is not difficult to find that tumor immunotherapy has shown amazing clinical efficacy in many types of cancer, such as melanoma, lung cancer, and cancer with high mutation load of microsatellite instability. Immunotherapeutic drugs have shown excellent results, whether used alone or in combination with other therapies. The rapid progress of PD-1 inhibitors and PD-L1 inhibitors is regarded as a star product to open a new era of cancer immunotherapy. With the discovery of new targets for immunotherapy and the development of new drugs for immunotherapy, people’s confidence in overcoming cancer has become more and more firm.
Fortunately, more and more studies have found breakthroughs to improve the efficacy of immunotherapy and reduce side effects, such as thioredoxin, FATP2, bacterial transplantation, etc. Moreover, effective indicators such as tumor mutation load index and tumor microenvironment scoring system can be used to screen the population that can benefit from immunotherapy and evaluate the efficacy. Believe it’s only a matter of time before cancer is conquered (83). Through the unremitting efforts of human beings, we can certainly rekindle the hope of life for cancer patients earlier.
Author Contributions
XZ conceived and designed the study. ZW and SL wrote this manuscript. ZW, SL, and XZ discussed and edited the manuscript. All authors contributed to the article and approved the submitted version.
Funding
This work was supported partly by National Natural Science Foundation of China (81541153), Guangdong Key Laboratory funds of Systems Biology and Synthetic Biology for Urogenital Tumors (2017B030301015) and Doctoral Research Initiation Fund of Guangdong Medical University (B2012001). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1. Lin X, Wang S, Sun M, Zhang C, Wei C, Yang C, et al. Mir-195-5p/NOTCH2-Mediated EMT Modulates IL-4 Secretion in Colorectal Cancer to Affect M2-like TAM Polarization. J Hematol Oncol (2019) 12:20. doi: 10.1186/s13045-019-0708-7
2. Prakash R, Izraely S, Thareja NS, Lee RH, Rappaport M, Kawaguchi R, et al. Regeneration Enhances Metastasis: A Novel Role for Neurovascular Signaling in Promoting Melanoma Brain Metastasis. Front Neurosci (2019) 13:297. doi: 10.3389/fnins.2019.00297
3. Tan S, Li D, Zhu X. Cancer Immunotherapy: Pros, Cons and Beyond. BioMed Pharmacother (2020) 124:109821. doi: 10.1016/j.biopha.2020.109821
4. Ceppi F, Beck-Popovic M, Bourquin JP, Renella R. Opportunities and Challenges in the Immunological Therapy of Pediatric Malignancy: A Concise Snapshot. Eur J Pediatr (2017) 176:1163–72. doi: 10.1007/s00431-017-2982-0
5. Young A, Kerr DJ. Genetic and Immunological Therapy for Cancer. J R Soc Med (2000) 93:10–4. doi: 10.1177/014107680009300104
6. Xu P, Luo H, Kong Y, Lai WF, Cui L, Zhu X. Cancer Neoantigen: Boosting Immunotherapy. BioMed Pharmacother (2020) 131:110640. doi: 10.1016/j.biopha.2020.110640
7. Lin B, Du L, Li H, Zhu X, Cui L, Li X. Tumor-Infiltrating Lymphocytes: Warriors Fight Against Tumors Powerfully. BioMed Pharmacother (2020) 132:110873. doi: 10.1016/j.biopha.2020.110873
8. Zhang M, Eshraghian EA, Jammal OA, Zhang Z, Zhu X. CRISPR Technology: The Engine That Drives Cancer Therapy. BioMed Pharmacother (2020) 133:111007. doi: 10.1016/j.biopha.2020.111007
9. Bilusic M, Madan RA, Gulley JL. Immunotherapy of Prostate Cancer: Facts and Hopes. Clin Cancer Res (2017) 23:6764–70. doi: 10.1158/1078-0432.CCR-17-0019
10. Sibaud V. Dermatologic Reactions to Immune Checkpoint Inhibitors : Skin Toxicities and Immunotherapy. Am J Clin Dermatol (2018) 19:345–61. doi: 10.1007/s40257-017-0336-3
11. Guo B, Li D, Du L, Zhu X. piRNAs: Biogenesis and Their Potential Roles in Cancer. Cancer Metastasis Rev (2020) 39:567–75. doi: 10.1007/s10555-020-09863-0
12. Zhu X, Zhang J, Fan W, Wang F, Yao H, Wang Z, et al. The rs391957 Variant Cis-Regulating Oncogene GRP78 Expression Contributes to the Risk of Hepatocellular Carcinoma. Carcinogenesis (2013) 34:1273–80. doi: 10.1093/carcin/bgt061
13. Zhu X, Luo H, Xu Y. Transcriptome Analysis Reveals an Important Candidate Gene Involved in Both Nodal Metastasis and Prognosis in Lung Adenocarcinoma. Cell Biosci (2019) 9:92. doi: 10.1186/s13578-019-0356-1
14. Tang X, Huang Y, Lei J, Luo H, Zhu X. The Single-Cell Sequencing: New Developments and Medical Applications. Cell Biosci (2019) 9:53. doi: 10.1186/s13578-019-0314-y
15. Liu J, Li D, Luo H, Zhu X. Circular RNAs: The Star Molecules in Cancer. Mol Aspects Med (2019) 70:141–52. doi: 10.1016/j.mam.2019.10.006
16. Wang Y, Hays E, Rama M, Bonavida B. Cell-Mediated Immune Resistance in Cancer. Cancer Drug Resist (2020) 3:232–51. doi: 10.20517/cdr.2019.98
17. Zhu X, Li S, Xu B, Luo H. Cancer Evolution: A Means by Which Tumors Evade Treatment. BioMed Pharmacother (2020) 133:111016. doi: 10.1016/j.biopha.2020.111016
18. Zou Z, Tao T, Li H, Zhu X. mTOR Signaling Pathway and mTOR Inhibitors in Cancer: Progress and Challenges. Cell Biosci (2020) 10:31. doi: 10.1186/s13578-020-00396-1
19. Xiao Q, Yu H, Zhu X. The Associations of Hub Gene Polymorphisms in PI3K/AKT/mTOR Pathway and Schistosomiasis Japonica Infection and Hepatic Fibrosis. Infect Genet Evol (2020) 85:104423. doi: 10.1016/j.meegid.2020.104423
20. Ye Z, Huang Y, Ke J, Zhu X, Leng S, Luo H. Breakthrough in Targeted Therapy for non-Small Cell Lung Cancer. BioMed Pharmacother (2021) 133:111079. doi: 10.1016/j.biopha.2020.111079
21. Li K, Luo H, Huang L, Luo H, Zhu X. Microsatellite Instability: A Review of What the Oncologist Should Know. Cancer Cell Int (2020) 20:16. doi: 10.1186/s12935-019-1091-8
22. Tang Z, Xu Z, Zhu X, Zhang J. New Insights Into Molecules and Pathways of Cancer Metabolism and Therapeutic Implications. Cancer Commun (Lond) (2021) 41:16–36. doi: 10.1002/cac2.12112
23. Ruffini PA, Neelapu SS, Kwak LW, Biragyn A. Idiotypic Vaccination for B-Cell Malignancies as a Model for Therapeutic Cancer Vaccines: From Prototype Protein to Second Generation Vaccines. Haematologica (2002) 87:989–1001. doi: 10.3324/%X
24. Gordeeva O. Cancer-Testis Antigens: Unique Cancer Stem Cell Biomarkers and Targets for Cancer Therapy. Semin Cancer Biol (2018) 53:75–89. doi: 10.1016/j.semcancer.2018.08.006
25. Bezu L, Kepp O, Cerrato G, Pol J, Fucikova J, Spisek R, et al. Trial Watch: Peptide-Based Vaccines in Anticancer Therapy. Oncoimmunology (2018) 7:e1511506. doi: 10.1080/2162402X.2018.1511506
26. Segatori VI, Cuello HA, Gulino CA, Alberto M, Venier C, Guthmann MD, et al. Antibody-Dependent Cell-Mediated Cytotoxicity Induced by Active Immunotherapy Based on Racotumomab in non-Small Cell Lung Cancer Patients. Cancer Immunol Immunother (2018) 67:1285–96. doi: 10.1007/s00262-018-2188-y
27. Kooreman NG, Kim Y, de Almeida PE, Termglinchan V, Diecke S, Shao NY, et al. Autologous iPSC-Based Vaccines Elicit Anti-tumor Responses In Vivo. Cell Stem Cell (2018) 22:501–13.e7. doi: 10.1016/j.stem.2018.01.016
28. Gomes-Silva D, Ramos CA. Cancer Immunotherapy Using CAR-T Cells: From the Research Bench to the Assembly Line. Biotechnol J (2018) 13:1–16. doi: 10.1002/biot.201700097
29. Avanzi MP, Brentjens RJ. Emerging Role of CAR T Cells in non-Hodgkin’s Lymphoma. J Natl Compr Canc Netw (2017) 15:1429–37. doi: 10.6004/jnccn.2017.7045
30. Choi BD, O’Rourke DM, Maus MV. Engineering Chimeric Antigen Receptor T Cells to Treat Glioblastoma. J Target Ther Cancer (2017) 6:22–5.
31. Tang L, Zheng Y, Melo MB, Mabardi L, Castano AP, Xie YQ, et al. Enhancing T Cell Therapy Through TCR-Signaling-responsive Nanoparticle Drug Delivery. Nat Biotechnol (2018) 36:707–16. doi: 10.1038/nbt.4181
32. Lu W, Yao J, Zhu X, Qi Y. Nanomedicines: Redefining Traditional Medicine. BioMed Pharmacother (2020) 134:111103. doi: 10.1016/j.biopha.2020.111103
33. Roszik J, Sebestyen Z, Govers C, Guri Y, Szoor A, Palyi-Krekk Z, et al. T-Cell Synapse Formation Depends on Antigen Recognition But Not CD3 Interaction: Studies With TCR:zeta, a Candidate Transgene for TCR Gene Therapy. Eur J Immunol (2011) 41:1288–97. doi: 10.1002/eji.200940233
34. Akasaki Y, Kikuchi T, Homma S, Koido S, Ohkusa T, Tasaki T, et al. Phase I/II Trial of Combination of Temozolomide Chemotherapy and Immunotherapy With Fusions of Dendritic and Glioma Cells in Patients With Glioblastoma. Cancer Immunol Immunother (2016) 65:1499–509. doi: 10.1007/s00262-016-1905-7
35. Avigan DE, Vasir B, George DJ, Oh WK, Atkins MB, McDermott DF, et al. Phase I/II Study of Vaccination With Electrofused Allogeneic Dendritic Cells/Autologous Tumor-Derived Cells in Patients With Stage IV Renal Cell Carcinoma. J Immunother (2007) 30:749–61. doi: 10.1097/CJI.0b013e3180de4ce8
36. Rosenblatt J, Stone RM, Uhl L, Neuberg D, Joyce R, Levine JD, et al. Individualized Vaccination of AML Patients in Remission is Associated With Induction of Antileukemia Immunity and Prolonged Remissions. Sci Transl Med (2016) 8:368ra171. doi: 10.1126/scitranslmed.aag1298
37. Dashtsoodol N, Bortoluzzi S, Schmidt-Supprian M. T Cell Receptor Expression Timing and Signal Strength in the Functional Differentiation of Invariant Natural Killer T Cells. Front Immunol (2019) 10:841. doi: 10.3389/fimmu.2019.00841
38. Vivier E, Ugolini S, Blaise D, Chabannon C, Brossay L. Targeting Natural Killer Cells and Natural Killer T Cells in Cancer. Nat Rev Immunol (2012) 12:239–52. doi: 10.1038/nri3174
39. Xu X, Huang W, Heczey A, Liu D, Guo L, Wood MS, et al. NKT Cells Co-Expressing a GD2-specific Chimeric Antigen Receptor and IL-15 Show Enhanced In Vivo Persistence and Antitumor Activity Against Neuroblastoma. Clin Cancer Res (2019) 25:7126–38. doi: 10.1158/1078-0432.CCR-19-0421
40. Parkhurst M, Gros A, Pasetto A, Prickett T, Crystal JS, Robbins P, et al. Isolation of T-Cell Receptors Specifically Reactive With Mutated Tumor-Associated Antigens From Tumor-Infiltrating Lymphocytes Based on CD137 Expression. Clin Cancer Res (2017) 23:2491–505. doi: 10.1158/1078-0432.CCR-16-2680
41. Shuford S, Wilhelm C, Rayner M, Elrod A, Millard M, Mattingly C, et al. Prospective Validation of an Ex Vivo, Patient-Derived 3d Spheroid Model for Response Predictions in Newly Diagnosed Ovarian Cancer. Sci Rep (2019) 9:11153. doi: 10.1038/s41598-019-47578-7
42. Hodi FS, O’Day SJ, McDermott DF, Weber RW, Sosman JA, Haanen JB, et al. Improved Survival With Ipilimumab in Patients With Metastatic Melanoma. N Engl J Med (2010) 363:711–23. doi: 10.1056/NEJMoa1003466
43. Robert C, Thomas L, Bondarenko I, O’Day S, Weber J, Garbe C, et al. Ipilimumab Plus Dacarbazine for Previously Untreated Metastatic Melanoma. N Engl J Med (2011) 364:2517–26. doi: 10.1056/NEJMoa1104621
44. Yeong J, Suteja L, Simoni Y, Lau KW, Tan AC, Li HH, et al. Intra-Tumoral CD39(+)CD8(+) T Cells Predict Response to PD-1/PD-L1 Blockade in Patients With NSCLC. J Thorac Oncol (2021) S1556-0864(21)02155-9. doi: 10.1016/j.jtho.2021.04.016
45. Zhang X, Zhong L, Zou Z, Liang G, Tang Z, Li K, et al. Clinical and Prognostic Pan-Cancer Analysis of N6-Methyladenosine Regulators in Two Types of Hematological Malignancies: A Retrospective Study Based on TCGA and GTEx Databases. Front Oncol (2021) 11:623170. doi: 10.3389/fonc.2021.623170
46. Lu G, Luo H, Zhu X. Targeting the GRP78 Pathway for Cancer Therapy. Front Med (Lausanne) (2020) 7:351. doi: 10.3389/fmed.2020.00351
47. Li S, Zhang Z, Lai W-F, Cui L, Zhu X. How to Overcome the Side Effects of Tumor Immunotherapy. Biomed Pharmacother (2020) 130:110639. doi: 10.1016/j.biopha.2020.110639
48. Zou Z, Zhou S, Liang G, Tang Z, Li K, Tan S, et al. Pan-Cancer Analysis of Two Types of Uterine Cancer Uncovered the Clinical and Prognostic Associations With M6a RNA Methylation Regulators. Mol Omics (2021). doi: 10.1039/D0MO00113A
49. Song C, Kong Y, Huang L, Luo H, Zhu X. Big Data-Driven Precision Medicine: Starting the Custom-Made Era of Iatrology. BioMed Pharmacother (2020) 129:110445. doi: 10.1016/j.biopha.2020.110445
50. Cook KW, Durrant LG, Brentville VA. Current Strategies to Enhance Anti-Tumour Immunity. Biomedicines (2018) 6:37. doi: 10.3390/biomedicines6020037
51. Galgani M, Bruzzaniti S, La Rocca C, Micillo T, de Candia P, Bifulco M, et al. Immunometabolism of Regulatory T Cells in Cancer. Mol Aspects Med (2021) 77:100936. doi: 10.1016/j.mam.2020.100936
52. Leighl NB. Meeting Immunotherapy Resistance in Lung Cancer. J Thorac Oncol (2021) 16:187–90. doi: 10.1016/j.jtho.2020.11.018
53. Brown C. Targeted Therapy: An Elusive Cancer Target. Nature (2016) 537:S106–8. doi: 10.1038/537S106a
54. Chen DS, Irving BA, Hodi FS. Molecular Pathways: Next-Generation Immunotherapy–Inhibiting Programmed Death-Ligand 1 and Programmed Death-1. Clin Cancer Res (2012) 18:6580–7. doi: 10.1158/1078-0432.CCR-12-1362
55. Reck M, Ciuleanu TE, Lee JS, Schenker M, Audigier-Valette C, Zurawski B, et al. First-Line Nivolumab Plus Ipilimumab Versus Chemotherapy in Advanced Nsclc With 1% or Greater Tumor PD-L1 Expression: Patient-Reported Outcomes From CheckMate 227 Part 1. J Thorac Oncol (2021) 16:665–76. doi: 10.1016/j.jtho.2020.12.019
56. Yang Y, Xia L, Wu Y, Zhou H, Chen X, Li H, et al. Programmed Death Ligand-1 Regulates Angiogenesis and Metastasis by Participating in the c-JUN/VEGFR2 Signaling Axis in Ovarian Cancer. Cancer Commun (Lond) (2021). doi: 10.1002/cac2.12157
57. Clark CA, Gupta HB, Sareddy G, Pandeswara S, Lao S, Yuan B, et al. Tumor-Intrinsic PD-L1 Signals Regulate Cell Growth, Pathogenesis, and Autophagy in Ovarian Cancer and Melanoma. Cancer Res (2016) 76:6964–74. doi: 10.1158/0008-5472.CAN-16-0258
58. Gordon SR, Maute RL, Dulken BW, Hutter G, George BM, McCracken MN, et al. PD-1 Expression by Tumour-Associated Macrophages Inhibits Phagocytosis and Tumour Immunity. Nature (2017) 545:495–9. doi: 10.1038/nature22396
59. Sivori S, Pende D, Quatrini L, Pietra G, Della Chiesa M, Vacca P, et al. NK Cells and ILCs in Tumor Immunotherapy. Mol Aspects Med (2020) 100870. doi: 10.1016/j.mam.2020.100870
60. Kang J, Zhang C, Zhong WZ. Neoadjuvant Immunotherapy for non-Small Cell Lung Cancer: State of the Art. Cancer Commun (Lond) (2021) 41:287–302. doi: 10.1002/cac2.12153
61. Beckmann N, Huber F, Hanschen M, St Pierre Schneider B, Nomellini V, Caldwell CC. Scald Injury-Induced T Cell Dysfunction can Be Mitigated by Gr1(+) Cell Depletion and Blockage of CD47/CD172a Signaling. Front Immunol (2020) 11:876. doi: 10.3389/fimmu.2020.00876
62. Jarr KU, Nakamoto R, Doan BH, Kojima Y, Weissman IL, Advani RH, et al. Effect of CD47 Blockade on Vascular Inflammation. N Engl J Med (2021) 384:382–3. doi: 10.1056/NEJMc2029834
63. Jaiswal S, Jamieson CH, Pang WW, Park CY, Chao MP, Majeti R, et al. CD47 is Upregulated on Circulating Hematopoietic Stem Cells and Leukemia Cells to Avoid Phagocytosis. Cell (2009) 138:271–85. doi: 10.1016/j.cell.2009.05.046
64. Xia S. Biological Mechanisms and Therapeutic Relevance of the Gasdermin Family. Mol Aspects Med (2020) 76:100890. doi: 10.1016/j.mam.2020.100890
65. Zeng D, Li M, Zhou R, Zhang J, Sun H, Shi M, et al. Tumor Microenvironment Characterization in Gastric Cancer Identifies Prognostic and Immunotherapeutically Relevant Gene Signatures. Cancer Immunol Res (2019) 7:737–50. doi: 10.1158/2326-6066.CIR-18-0436
66. Jiang P, Gu S, Pan D, Fu J, Sahu A, Hu X, et al. Signatures of T Cell Dysfunction and Exclusion Predict Cancer Immunotherapy Response. Nat Med (2018) 24:1550–8. doi: 10.1038/s41591-018-0136-1
67. Rivera MP, Charlot M, Durham DD, Throneburg A, Lane LM, Perera P, et al. Molecular Biomarker and Program Death-Ligand 1 Expression Testing in Patients With Advanced Stage Non-Small Cell Lung Cancer Across North Carolina Community Hospitals. Chest (2021). doi: 10.1016/j.chest.2021.04.014
68. Tajarernmuang P, Ofiara L, Beaudoin S, Wang H, Benedetti A, Gonzalez AV. Real-World Outcomes of Patients With Advanced Non-Small Cell Lung Cancer Treated With Anti-PD1 Therapy on the Basis of PD-L1 Results in EBUS-TBNA vs Histological Specimens. Chest (2021). doi: 10.1016/j.chest.2021.02.053
69. Zhou L, Xu N, Shibata H, Saloura V, Uppaluri R. Epigenetic Modulation of Immunotherapy and Implications in Head and Neck Cancer. Cancer Metastasis Rev (2021) 40:141–52. doi: 10.1007/s10555-020-09944-0
70. Yang W, Lee KW, Srivastava RM, Kuo F, Krishna C, Chowell D, et al. Immunogenic Neoantigens Derived From Gene Fusions Stimulate T Cell Responses. Nat Med (2019) 25:767–75. doi: 10.1038/s41591-019-0434-2
71. Volkov NM, Yanus GA, Ivantsov AO, Moiseenko FV, Matorina OG, Bizin IV, et al. Efficacy of Immune Checkpoint Blockade in MUTYH-associated Hereditary Colorectal Cancer. Invest New Drugs (2019) 38:894–8. doi: 10.1007/s10637-019-00842-z
72. Pan D, Hu AY, Antonia SJ, Li CY. A Gene Mutation Signature Predicting Immunotherapy Benefits in Patients With Nsclc. J Thorac Oncol (2021) 16:419–27. doi: 10.1016/j.jtho.2020.11.021
73. Wang Q, Yang Y, Yang M, Li X, Chen K. High Mutation Load, Immune-Activated Microenvironment, Favorable Outcome, and Better Immunotherapeutic Efficacy in Melanoma Patients Harboring MUC16/CA125 Mutations. Aging (Albany NY) (2020) 12:10827–43. doi: 10.18632/aging.103296
74. Overman MJ, McDermott R, Leach JL, Lonardi S, Lenz HJ, Morse MA, 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) 18:1182–91. doi: 10.1016/S1470-2045(17)30422-9
75. Krieg C, Nowicka M, Guglietta S, Schindler S, Hartmann FJ, Weber LM, et al. High-Dimensional Single-Cell Analysis Predicts Response to Anti-PD-1 Immunotherapy. Nat Med (2018) 24:144–53. doi: 10.1038/nm.4466
76. Kon E, Benhar I. Immune Checkpoint Inhibitor Combinations: Current Efforts and Important Aspects for Success. Drug Resist Update (2019) 45:13–29. doi: 10.1016/j.drup.2019.07.004
77. Atchley WT, Alvarez C, Saxena-Beem S, Schwartz TA, Ishizawar RC, Patel KP, et al. Immune Checkpoint Inhibitor-Related Pneumonitis in Lung Cancer: Real-World Incidence, Risk Factors, and Management Practices Across Six Health Care Centers in North Carolina. Chest (2021). doi: 10.1016/j.chest.2021.02.032
78. Scheper W, Kelderman S, Fanchi LF, Linnemann C, Bendle G, de Rooij MAJ, et al. Low and Variable Tumor Reactivity of the Intratumoral TCR Repertoire in Human Cancers. Nat Med (2019) 25:89–94. doi: 10.1038/s41591-018-0266-5
79. Schumacher K, Haensch W, Roefzaad C, Schlag PM. Prognostic Significance of Activated CD8(+) T Cell Infiltrations Within Esophageal Carcinomas. Cancer Res (2001) 61:3932–6.
80. Simoni Y, Becht E, Fehlings M, Loh CY, Koo SL, Teng KWW, et al. Bystander CD8(+) T Cells are Abundant and Phenotypically Distinct in Human Tumour Infiltrates. Nature (2018) 557:575–9. doi: 10.1038/s41586-018-0130-2
81. Gallerano D, Ciminati S, Grimaldi A, Piconese S, Cammarata I, Focaccetti C, et al. Genetically Driven CD39 Expression Shapes Human Tumor-Infiltrating CD8(+) T-Cell Functions. Int J Cancer (2020) 147:2597–610. doi: 10.1002/ijc.33131
82. Moesta AK, Li XY, Smyth MJ. Targeting CD39 in Cancer. Nat Rev Immunol (2020) 20:739–55. doi: 10.1038/s41577-020-0376-4
Keywords: anti-tumor immunity, CAR-T, checkpoint inhibitors, immune system, immunotherapy
Citation: Wu Z, Li S and Zhu X (2021) The Mechanism of Stimulating and Mobilizing the Immune System Enhancing the Anti-Tumor Immunity. Front. Immunol. 12:682435. doi: 10.3389/fimmu.2021.682435
Received: 18 March 2021; Accepted: 25 May 2021;
Published: 10 June 2021.
Edited by:
Bilian Jin, Dalian Medical Universi, ChinaReviewed by:
Hui-Mei Wu, Anhui Medical University, ChinaXuechan Tang, Capital Medical University, China
Copyright © 2021 Wu, Li and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xiao Zhu, bioxzhu@yahoo.com
†These authors have contributed equally to this work