The Tumor and Host Immune Signature, and the Gut Microbiota as Predictive Biomarkers for Immune Checkpoint Inhibitor Response in Melanoma Patients

There are various melanoma treatment strategies that are based on immunological responses, among which immune checkpoint inhibitors (ICI) are relatively novel form. Nowadays, anti-cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and anti-programmed death-1 (PD-1) antibodies represent a standard treatment for metastatic melanoma. Although there are remarkable curative effects in responders to ICI therapy, up to 70% of melanoma patients show resistance to this treatment. This low response rate is caused by innate as well as acquired resistance, and some aspects of treatment resistance are still unknown. Growing evidence shows that gut microbiota and bacterial metabolites, such as short-chain fatty acids (SCFAs), affect the efficacy of immunotherapy. Various bacterial species have been indicated as potential biomarkers of anti-PD-1 or anti-CTLA-4 therapy efficacy in melanoma, next to biomarkers related to molecular and genetic tumor characteristics or the host immunological response, which are detected in patients’ blood. Here, we review the current status of biomarkers of response to ICI melanoma therapies, their pre-treatment predictive values, and their utility as on-treatment monitoring tools in order to select a relevant personalized therapy on the basis of probability of the best clinical outcome.

[1]  D. Mallardo,et al.  Systemic short chain fatty acids limit antitumor effect of CTLA-4 blockade in hosts with cancer , 2020, Nature Communications.

[2]  Koichi Inoue,et al.  Association of Short-Chain Fatty Acids in the Gut Microbiome With Clinical Response to Treatment With Nivolumab or Pembrolizumab in Patients With Solid Cancer Tumors , 2020, JAMA network open.

[3]  D. Malone,et al.  Immune Checkpoint Inhibitors and Immune-Related Adverse Events in Patients With Advanced Melanoma , 2020, JAMA network open.

[4]  B. Erstad,et al.  Potential Immune-Related Adverse Events Associated With Monotherapy and Combination Therapy of Ipilimumab, Nivolumab, and Pembrolizumab for Advanced Melanoma: A Systematic Review and Meta-Analysis , 2020, Frontiers in Oncology.

[5]  K. Leroy,et al.  Predictive Value of Soluble PD-1, PD-L1, VEGFA, CD40 Ligand and CD44 for Nivolumab Therapy in Advanced Non-Small Cell Lung Cancer: A Case-Control Study , 2020, Cancers.

[6]  James X. Sun,et al.  Principles of Targeted Therapy for Melanoma. , 2020, The Surgical clinics of North America.

[7]  C. Garrido,et al.  Tracking the evolution of circulating exosomal-PD-L1 to monitor melanoma patients , 2020, Journal of extracellular vesicles.

[8]  I. Kotsianidis,et al.  Soluble PD-L1 generated by endogenous retroelement exaptation is a receptor antagonist , 2019, eLife.

[9]  D. Pardoll,et al.  Mechanisms regulating PD-L1 expression on tumor and immune cells , 2019, Journal of Immunotherapy for Cancer.

[10]  Lingxiang Mao,et al.  The role of exosomal PD-L1 in tumor progression and immunotherapy , 2019, Molecular Cancer.

[11]  I. Osman,et al.  Relating the gut metagenome and metatranscriptome to immunotherapy responses in melanoma patients , 2019, Genome Medicine.

[12]  B. Neyns,et al.  Undetectable circulating tumor DNA (ctDNA) levels correlate with favorable outcome in metastatic melanoma patients treated with anti-PD1 therapy , 2019, Journal of Translational Medicine.

[13]  Xianhe Xie,et al.  Prognostic Value of Baseline Neutrophil-to-Lymphocyte Ratio in Outcome of Immune Checkpoint Inhibitors , 2019, Cancer investigation.

[14]  P. Zhang,et al.  Gut microbiome and cancer immunotherapy. , 2019, Cancer letters.

[15]  S. Aamdal,et al.  Prognostic biomarkers for immunotherapy with ipilimumab in metastatic melanoma , 2019, Clinical and experimental immunology.

[16]  Ryohei Katayama,et al.  Secreted PD-L1 variants mediate resistance to PD-L1 blockade therapy in non–small cell lung cancer , 2019, The Journal of experimental medicine.

[17]  Ni Zhang,et al.  Programmed cell death-1/programmed cell death ligand-1 checkpoint inhibitors: differences in mechanism of action. , 2019, Immunotherapy.

[18]  D. Coit,et al.  High neutrophil‐to‐lymphocyte ratio (NLR) is associated with treatment failure and death in patients who have melanoma treated with PD‐1 inhibitor monotherapy , 2019, Cancer.

[19]  F. Garrido HLA Class-I Expression and Cancer Immunotherapy. , 2019, Advances in experimental medicine and biology.

[20]  P. Hammerman,et al.  Identification and characterization of an alternative cancer-derived PD-L1 splice variant , 2019, Cancer Immunology, Immunotherapy.

[21]  S. Ranque,et al.  Microbiome and the immune system: From a healthy steady-state to allergy associated disruption , 2018, Human Microbiome Journal.

[22]  S. M. Toor,et al.  Immune checkpoint inhibitors: recent progress and potential biomarkers , 2018, Experimental & Molecular Medicine.

[23]  Z. Guo The 2018 Nobel Prize in medicine goes to cancer immunotherapy (editorial for BMC cancer) , 2018, BMC Cancer.

[24]  I. Melero,et al.  Cytokines in clinical cancer immunotherapy , 2018, British Journal of Cancer.

[25]  Edmond J. Breen,et al.  Circulating Cytokines Predict Immune-Related Toxicity in Melanoma Patients Receiving Anti-PD-1–Based Immunotherapy , 2018, Clinical Cancer Research.

[26]  P. Ascierto,et al.  Soluble CTLA-4 as a favorable predictive biomarker in metastatic melanoma patients treated with ipilimumab: an Italian melanoma intergroup study , 2018, Cancer Immunology, Immunotherapy.

[27]  Minshan Chen,et al.  Pre-treatment serum levels of soluble programmed cell death-ligand 1 predict prognosis in patients with hepatitis B-related hepatocellular carcinoma , 2018, Journal of Cancer Research and Clinical Oncology.

[28]  A. Jemal,et al.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries , 2018, CA: a cancer journal for clinicians.

[29]  Y. Hosomi,et al.  Soluble Programmed Cell Death Ligand 1 as a Novel Biomarker for Nivolumab Therapy for Non–Small‐cell Lung Cancer , 2018, Clinical lung cancer.

[30]  David M. Woods,et al.  Decreased Suppression and Increased Phosphorylated STAT3 in Regulatory T Cells are Associated with Benefit from Adjuvant PD-1 Blockade in Resected Metastatic Melanoma , 2018, Clinical Cancer Research.

[31]  I. Gheorghe,et al.  Aspects of Gut Microbiota and Immune System Interactions in Infectious Diseases, Immunopathology, and Cancer , 2018, Front. Immunol..

[32]  N. Girard,et al.  Clinical potential of circulating tumour DNA in patients receiving anticancer immunotherapy , 2018, Nature Reviews Clinical Oncology.

[33]  D. Jackson,et al.  MHC proteins confer differential sensitivity to CTLA-4 and PD-1 blockade in untreated metastatic melanoma , 2018, Science Translational Medicine.

[34]  G. Madonna,et al.  Baseline neutrophil-to-lymphocyte ratio (NLR) and derived NLR could predict overall survival in patients with advanced melanoma treated with nivolumab , 2018, Journal of Immunotherapy for Cancer.

[35]  Y. Fujisawa,et al.  Baseline neutrophil to lymphocyte ratio combined with serum LDH level associated with outcome of nivolumab immunotherapy in a Japanese advanced melanoma population , 2018 .

[36]  C. Garbe,et al.  S100B and LDH as early prognostic markers for response and overall survival in melanoma patients treated with anti-PD-1 or combined anti-PD-1 plus anti-CTLA-4 antibodies , 2018, British Journal of Cancer.

[37]  Wei Zhang,et al.  Exosomal PD-L1 Contributes to Immunosuppression and is Associated with anti-PD-1 Response , 2018, Nature.

[38]  P. Soares,et al.  Melanoma treatment in review , 2018, ImmunoTargets and therapy.

[39]  T. Gambichler,et al.  Baseline laboratory parameters predicting clinical outcome in melanoma patients treated with ipilimumab: a single‐centre analysis , 2018, Journal of the European Academy of Dermatology and Venereology : JEADV.

[40]  L. Koenderman,et al.  Neutrophil phenotypes in health and disease , 2018, European journal of clinical investigation.

[41]  R. Scolyer,et al.  Association Between Circulating Tumor DNA and Pseudoprogression in Patients With Metastatic Melanoma Treated With Anti–Programmed Cell Death 1 Antibodies , 2018, JAMA oncology.

[42]  J. Wolchok,et al.  Baseline Tumor Size Is an Independent Prognostic Factor for Overall Survival in Patients with Melanoma Treated with Pembrolizumab , 2018, Clinical Cancer Research.

[43]  K. Kabashima,et al.  Anti-PD-1 and Anti-CTLA-4 Therapies in Cancer: Mechanisms of Action, Efficacy, and Limitations , 2018, Front. Oncol..

[44]  Kongming Wu,et al.  Gut microbiome modulates efficacy of immune checkpoint inhibitors , 2018, Journal of Hematology & Oncology.

[45]  P. Rutkowski,et al.  Immunotherapy of melanoma , 2018, Contemporary oncology.

[46]  J. Wolchok,et al.  Peripheral blood clinical laboratory variables associated with outcomes following combination nivolumab and ipilimumab immunotherapy in melanoma , 2018, Cancer medicine.

[47]  C. Rosales Neutrophil: A Cell with Many Roles in Inflammation or Several Cell Types? , 2018, Front. Physiol..

[48]  Laurence Zitvogel,et al.  Gut microbiome influences efficacy of PD-1–based immunotherapy against epithelial tumors , 2018, Science.

[49]  E. Le Chatelier,et al.  Gut microbiome modulates response to anti–PD-1 immunotherapy in melanoma patients , 2018, Science.

[50]  Riyue Bao,et al.  The commensal microbiome is associated with anti–PD-1 efficacy in metastatic melanoma patients , 2018, Science.

[51]  K. Flaherty,et al.  Mechanisms of resistance to immune checkpoint inhibitors , 2018, British Journal of Cancer.

[52]  Jeffrey E Gershenwald,et al.  Melanoma staging: Evidence‐based changes in the American Joint Committee on Cancer eighth edition cancer staging manual , 2017, CA: a cancer journal for clinicians.

[53]  G. Long,et al.  Systemic therapy in advanced melanoma: integrating targeted therapy and immunotherapy into clinical practice , 2017, Current opinion in oncology.

[54]  A. Ribas,et al.  Pembrolizumab versus ipilimumab for advanced melanoma: final overall survival results of a multicentre, randomised, open-label phase 3 study (KEYNOTE-006) , 2017, The Lancet.

[55]  F. Hirsch,et al.  MHC class II expression in lung cancer. , 2017, Lung cancer.

[56]  E. Frenkel,et al.  Metagenomic Shotgun Sequencing and Unbiased Metabolomic Profiling Identify Specific Human Gut Microbiota and Metabolites Associated with Immune Checkpoint Therapy Efficacy in Melanoma Patients1 , 2017, Neoplasia.

[57]  D. Schadendorf,et al.  Overall Survival with Combined Nivolumab and Ipilimumab in Advanced Melanoma , 2017, The New England journal of medicine.

[58]  K. Yaddanapudi,et al.  Myeloid‐derived suppressor cells—a new therapeutic target to overcome resistance to cancer immunotherapy , 2017, Journal of leukocyte biology.

[59]  J. Li,et al.  The Prognostic Significance of Soluble Programmed Death Ligand 1 Expression in Cancers: A Systematic Review and Meta‐analysis , 2017, Scandinavian journal of immunology.

[60]  A. Eggermont,et al.  Baseline gut microbiota predicts clinical response and colitis in metastatic melanoma patients treated with ipilimumab , 2017, Annals of oncology : official journal of the European Society for Medical Oncology.

[61]  J. Lang,et al.  Soluble PD-1 and PD-L1: predictive and prognostic significance in cancer , 2017, Oncotarget.

[62]  A. Giobbie-Hurder,et al.  Soluble PD-L1 as a Biomarker in Malignant Melanoma Treated with Checkpoint Blockade , 2017, Cancer Immunology Research.

[63]  N. Juge,et al.  Introduction to the human gut microbiota , 2017, The Biochemical journal.

[64]  J. Madore,et al.  Dynamic Changes in PD-L1 Expression and Immune Infiltrates Early During Treatment Predict Response to PD-1 Blockade in Melanoma , 2017, Clinical Cancer Research.

[65]  Robert Damoiseaux,et al.  Interferon Receptor Signaling Pathways Regulating PD-L1 and PD-L2 Expression , 2017, Cell reports.

[66]  Y. Fujisawa,et al.  Cytokine biomarkers to predict antitumor responses to nivolumab suggested in a phase 2 study for advanced melanoma , 2017, Cancer science.

[67]  Y. Fujisawa,et al.  Serum level of interleukin-6 is increased in nivolumab-associated psoriasiform dermatitis and tumor necrosis factor-α is a biomarker of nivolumab recativity. , 2017, Journal of dermatological science.

[68]  A. Mackiewicz,et al.  Programmed cell death 1 checkpoint inhibitors in the treatment of patients with advanced melanoma , 2017, Contemporary oncology.

[69]  R. Kiessling,et al.  Ipilimumab treatment decreases monocytic MDSCs and increases CD8 effector memory T cells in long-term survivors with advanced melanoma , 2017, Oncotarget.

[70]  Y. Hosomi,et al.  High plasma levels of soluble programmed cell death ligand 1 are prognostic for reduced survival in advanced lung cancer. , 2017, Lung cancer.

[71]  Jieying Chen,et al.  Suppression of T cells by myeloid-derived suppressor cells in cancer. , 2017, Human immunology.

[72]  J. Lunceford,et al.  Programmed Death-Ligand 1 Expression and Response to the Anti-Programmed Death 1 Antibody Pembrolizumab in Melanoma. , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[73]  M. Amagai,et al.  Nivolumab for advanced melanoma: pretreatment prognostic factors and early outcome markers during therapy , 2016, Oncotarget.

[74]  A. Enk,et al.  Use of LDH and autoimmune side effects to predict response to ipilimumab treatment. , 2016, Immunotherapy.

[75]  T. Graeber,et al.  Mutations Associated with Acquired Resistance to PD-1 Blockade in Melanoma. , 2016, The New England journal of medicine.

[76]  R. Sullivan,et al.  Hybrid capture-based next-generation sequencing (HC NGS) in melanoma to identify markers of response to anti-PD-1/PD-L1. , 2016 .

[77]  C. Berking,et al.  Baseline Biomarkers for Outcome of Melanoma Patients Treated with Pembrolizumab , 2016, Clinical Cancer Research.

[78]  F. Greten,et al.  High levels of the soluble programmed death-ligand (sPD-L1) identify hepatocellular carcinoma patients with a poor prognosis. , 2016, European journal of cancer.

[79]  J. Sosman,et al.  Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma , 2016, Cell.

[80]  M. Schell,et al.  Phase I/II Study of Metastatic Melanoma Patients Treated with Nivolumab Who Had Progressed after Ipilimumab , 2016, Cancer Immunology Research.

[81]  Yu Shyr,et al.  Melanoma-specific MHC-II expression represents a tumour-autonomous phenotype and predicts response to anti-PD-1/PD-L1 therapy , 2016, Nature Communications.

[82]  J. Larkin,et al.  Serum lactate dehydrogenase as an early marker for outcome in patients treated with anti-PD-1 therapy in metastatic melanoma , 2016, British Journal of Cancer.

[83]  D. Schadendorf,et al.  Baseline Peripheral Blood Biomarkers Associated with Clinical Outcome of Advanced Melanoma Patients Treated with Ipilimumab , 2016, Clinical Cancer Research.

[84]  Wei Jia,et al.  The influence of gut microbiota on drug metabolism and toxicity , 2016, Expert opinion on drug metabolism & toxicology.

[85]  H. Maillard,et al.  High neutrophil to lymphocyte ratio measured before starting ipilimumab treatment is associated with reduced overall survival in patients with melanoma , 2016, The British journal of dermatology.

[86]  F. Ginhoux,et al.  Anticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota , 2015, Science.

[87]  S. Gabriel,et al.  Genomic correlates of response to CTLA-4 blockade in metastatic melanoma , 2015, Science.

[88]  D. Raoult,et al.  A comprehensive repertoire of prokaryotic species identified in human beings. , 2015, The Lancet. Infectious diseases.

[89]  Johnny Lo,et al.  Circulating tumor DNA to monitor treatment response and detect acquired resistance in patients with metastatic melanoma , 2015, Oncotarget.

[90]  J. Utikal,et al.  Myeloid Cells and Related Chronic Inflammatory Factors as Novel Predictive Markers in Melanoma Treatment with Ipilimumab , 2015, Clinical Cancer Research.

[91]  P. Marchetti,et al.  Baseline neutrophil-to-lymphocyte ratio is associated with outcome of ipilimumab-treated metastatic melanoma patients , 2015, British Journal of Cancer.

[92]  J. Lunceford,et al.  Pembrolizumab for the treatment of non-small-cell lung cancer. , 2015, The New England journal of medicine.

[93]  J. Utikal,et al.  Elevated chronic inflammatory factors and myeloid‐derived suppressor cells indicate poor prognosis in advanced melanoma patients , 2015, International journal of cancer.

[94]  J. Madore,et al.  PD‐L1 expression in melanoma shows marked heterogeneity within and between patients: implications for anti‐PD‐1/PD‐L1 clinical trials , 2015, Pigment cell & melanoma research.

[95]  Martin L. Miller,et al.  Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer , 2015, Science.

[96]  T. Schumacher,et al.  Neoantigens in cancer immunotherapy , 2015, Science.

[97]  Jeffrey E. Lee,et al.  C-reactive protein as a marker of melanoma progression. , 2015, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[98]  Razelle Kurzrock,et al.  PD-L1 Expression as a Predictive Biomarker in Cancer Immunotherapy , 2015, Molecular Cancer Therapeutics.

[99]  J. Wolchok,et al.  Anticancer immunotherapy by CTLA-4 blockade: obligatory contribution of IL-2 receptors and negative prognostic impact of soluble CD25 , 2015, Cell Research.

[100]  C. Horak,et al.  Safety, Correlative Markers, and Clinical Results of Adjuvant Nivolumab in Combination with Vaccine in Resected High-Risk Metastatic Melanoma , 2014, Clinical Cancer Research.

[101]  J. Wolchok,et al.  Genetic basis for clinical response to CTLA-4 blockade in melanoma. , 2014, The New England journal of medicine.

[102]  R. Emerson,et al.  PD-1 blockade induces responses by inhibiting adaptive immune resistance , 2014, Nature.

[103]  J. Taube,et al.  Long-term survival of ipilimumab-naive patients (pts) with advanced melanoma (MEL) treated with nivolumab (anti-PD-1, BMS-936558, ONO-4538) in a phase I trial. , 2014 .

[104]  D. Morton,et al.  Clinical Benefit from Ipilimumab Therapy in Melanoma Patients may be Associated with Serum CTLA4 Levels , 2014, Front. Oncol..

[105]  J. Taube,et al.  Association of PD-1, PD-1 Ligands, and Other Features of the Tumor Immune Microenvironment with Response to Anti–PD-1 Therapy , 2014, Clinical Cancer Research.

[106]  F. Fulciniti,et al.  Immunological and biological changes during ipilimumab treatment and their potential correlation with clinical response and survival in patients with advanced melanoma , 2014, Cancer Immunology, Immunotherapy.

[107]  Z. Szallasi,et al.  Lactate dehydrogenase as a selection criterion for ipilimumab treatment in metastatic melanoma , 2014, Cancer Immunology, Immunotherapy.

[108]  M. Choti,et al.  Detection of Circulating Tumor DNA in Early- and Late-Stage Human Malignancies , 2014, Science Translational Medicine.

[109]  J. Kirkwood,et al.  Immune Monitoring of the Circulation and the Tumor Microenvironment in Patients with Regionally Advanced Melanoma Receiving Neoadjuvant Ipilimumab , 2014, PloS one.

[110]  C. Meyer,et al.  Frequencies of circulating MDSC correlate with clinical outcome of melanoma patients treated with ipilimumab , 2014, Cancer Immunology, Immunotherapy.

[111]  Eric Vivier,et al.  The Intestinal Microbiota Modulates the Anticancer Immune Effects of Cyclophosphamide , 2013, Science.

[112]  S. Rosso,et al.  Tumor-infiltrating lymphocyte grade in primary melanomas is independently associated with melanoma-specific survival in the population-based genes, environment and melanoma study. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[113]  M. Stratton,et al.  Tumor exome analysis reveals neoantigen-specific T-cell reactivity in an ipilimumab-responsive melanoma. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[114]  Steven A. Roberts,et al.  Mutational heterogeneity in cancer and the search for new cancer genes , 2014 .

[115]  R. Barker,et al.  The soluble isoform of CTLA‐4 as a regulator of T‐cell responses , 2013, European journal of immunology.

[116]  C. Garbe,et al.  Serum markers lactate dehydrogenase and S100B predict independently disease outcome in melanoma patients with distant metastasis , 2012, British Journal of Cancer.

[117]  C. Drake,et al.  Safety and activity of anti-PD-L1 antibody in patients with advanced cancer. , 2012, The New England journal of medicine.

[118]  David C. Smith,et al.  Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. , 2012, The New England journal of medicine.

[119]  Alison P. Klein,et al.  Colocalization of Inflammatory Response with B7-H1 Expression in Human Melanocytic Lesions Supports an Adaptive Resistance Mechanism of Immune Escape , 2012, Science Translational Medicine.

[120]  Drew M. Pardoll,et al.  The blockade of immune checkpoints in cancer immunotherapy , 2012, Nature Reviews Cancer.

[121]  Jedd D. Wolchok,et al.  Immunologic correlates of the abscopal effect in a patient with melanoma. , 2012, The New England journal of medicine.

[122]  Li-hong Lv,et al.  Anticancer Drugs Cause Release of Exosomes with Heat Shock Proteins from Human Hepatocellular Carcinoma Cells That Elicit Effective Natural Killer Cell Antitumor Responses in Vitro* , 2012, The Journal of Biological Chemistry.

[123]  J. Neefjes,et al.  Towards a systems understanding of MHC class I and MHC class II antigen presentation , 2011, Nature Reviews Immunology.

[124]  Zhen-hua Hu,et al.  Development of a sandwich ELISA for evaluating soluble PD-L1 (CD274) in human sera of different ages as well as supernatants of PD-L1+ cell lines. , 2011, Cytokine.

[125]  Taoyong Chen,et al.  Chemokine-Containing Exosomes Are Released from Heat-Stressed Tumor Cells via Lipid Raft-Dependent Pathway and Act as Efficient Tumor Vaccine , 2011, The Journal of Immunology.

[126]  A. Aboussekhra,et al.  Doxorubicin downregulates cell surface B7-H1 expression and upregulates its nuclear expression in breast cancer cells: role of B7-H1 as an anti-apoptotic molecule , 2010, Breast Cancer Research.

[127]  A. Balcerska,et al.  Serum soluble interleukin 2 receptor α in human cancer of adults and children: a review , 2008 .

[128]  S. Goodman,et al.  Circulating mutant DNA to assess tumor dynamics , 2008, Nature Medicine.

[129]  A. Mackensen,et al.  Interaction of PD-L1 on tumor cells with PD-1 on tumor-specific T cells as a mechanism of immune evasion: implications for tumor immunotherapy , 2005, Cancer Immunology, Immunotherapy.

[130]  R. Harpio,et al.  S100 proteins as cancer biomarkers with focus on S100B in malignant melanoma. , 2004, Clinical biochemistry.

[131]  G. Dranoff,et al.  Cytokines in cancer pathogenesis and cancer therapy , 2004, Nature Reviews Cancer.

[132]  D. Ruiter,et al.  On the biological relevance of MHC class II and B7 expression by tumour cells in melanoma metastases , 2003, British Journal of Cancer.

[133]  Pascale Jeannin,et al.  A soluble form of CTLA‐4 generated by alternative splicing is expressed by nonstimulated human T cells , 1999, European journal of immunology.

[134]  J. Allison,et al.  Enhancement of Antitumor Immunity by CTLA-4 Blockade , 1996, Science.

[135]  T. Honjo,et al.  Induced expression of PD‐1, a novel member of the immunoglobulin gene superfamily, upon programmed cell death. , 1992, The EMBO journal.

[136]  K. Koretz,et al.  Influence of major histocompatibility complex class I and II antigens on survival in colorectal carcinoma. , 1991, Cancer research.