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Showing papers by "Wolf H. Fridman published in 2017"


Journal ArticleDOI
TL;DR: The immune contexture, which is determined by the density, composition, functional state and organization of the leukocyte infiltrate of the tumour, can yield information that is relevant to prognosis, prediction of a treatment response and various other pharmacodynamic parameters.
Abstract: Immunotherapy is currently the most rapidly advancing area of clinical oncology, and provides the unprecedented opportunity to effectively treat, and even cure, several previously untreatable malignancies. A growing awareness exists of the fact that the success of chemotherapy and radiotherapy, in which the patient's disease can be stabilized well beyond discontinuation of treatment (and occasionally is cured), also relies on the induction of a durable anticancer immune response. Indeed, the local immune infiltrate undergoes dynamic changes that accompany a shift from a pre-existing immune response to a therapy-induced immune response. As a result, the immune contexture, which is determined by the density, composition, functional state and organization of the leukocyte infiltrate of the tumour, can yield information that is relevant to prognosis, prediction of a treatment response and various other pharmacodynamic parameters. Several complementary technologies can be used to explore the immune contexture of tumours, and to derive biomarkers that could enable the adaptation of individual treatment approaches for each patient, as well as monitoring a response to anticancer therapies.

1,375 citations


Journal ArticleDOI
TL;DR: In localized ccRCC, the infiltration with CD8+PD-1+Tim-3-Lag-3+ exhausted TILs and ICOS+ Treg identifies the patients with deleterious prognosis who could benefit from adjuvant therapy with TME-modulating agents and checkpoint blockade.
Abstract: Purpose: The efficacy of PD-1 checkpoint blockade as adjuvant therapy in localized clear cell renal cell carcinoma (ccRCC) is currently unknown. The identification of tumor microenvironment (TME) prognostic biomarkers in this setting may help define which patients could benefit from checkpoint blockade and uncover new therapeutic targets.Experimental Design: We performed multiparametric flow cytometric immunophenotypic analysis of T cells isolated from tumor tissue [tumor-infiltrating lymphocytes (TIL)], adjacent non-malignant renal tissue [renal-infiltrating lymphocytes (RIL)], and peripheral blood lymphocytes (PBL), in a cohort of patients (n = 40) with localized ccRCC. Immunophenotypic data were integrated with prognostic and histopathologic variables, T-cell receptor (TCR) repertoire analysis of sorted CD8+PD-1+ TILs, tumor mRNA expression, and digital quantitative immunohistochemistry.Results: On the basis of TIL phenotypic characterization, we identified three dominant immune profiles in localized ccRCC: (i) immune-regulated, characterized by polyclonal/poorly cytotoxic CD8+PD-1+Tim-3+Lag-3+ TILs and CD4+ICOS+ cells with a Treg phenotype (CD25+CD127-Foxp3+/Helios+GITR+), that developed in inflamed tumors with prominent infiltrations by dysfunctional dendritic cells and high PD-L1 expression; (ii) immune-activated, enriched in oligoclonal/cytotoxic CD8+PD-1+Tim-3+ TILs, that represented 22% of the tumors; and (iii) immune-silent, enriched in TILs exhibiting RIL-like phenotype, that represented 56% of patients in the cohort. Only immune-regulated tumors displayed aggressive histologic features, high risk of disease progression in the year following nephrectomy, and a CD8+PD-1+Tim-3+ and CD4+ICOS+ PBL phenotypic signature.Conclusions: In localized ccRCC, the infiltration with CD8+PD-1+Tim-3+Lag-3+ exhausted TILs and ICOS+ Treg identifies the patients with deleterious prognosis who could benefit from adjuvant therapy with TME-modulating agents and checkpoint blockade. This work also provides PBL phenotypic markers that could allow their identification. Clin Cancer Res; 23(15); 4416-28. ©2017 AACR.

225 citations


Journal ArticleDOI
TL;DR: It is found that expression of PD-L1 by tumor cells and a high density of CD8+ T cells in tumor are associated with a higher risk of clinical progression in men with node-positive prostate cancer.
Abstract: Prostate cancer (PCa) patients with lymph node invasion at radical prostatectomy are at higher risk of tumor recurrence and receive immediate androgen deprivation therapy (ADT). While approximately 30% of these patients do not experience recurrence, others experience disease recurrence despite ADT, and currently no biomarkers can accurately identify them. We analyzed tumors from 51 patients with node-positive prostate cancer using immunohistochemistry to investigate whether expression of the immune checkpoint ligand PD-L1 by tumor cells or the density of CD8+ or CD20+ cells are associated with clinical progression. Patients with at least 1% PD-L1+ tumor cells had shorter metastasis-free survival than those with PD-L1- tumors (p=0.008, log-rank test). Univariate Cox regression showed that patients with PD-L1+ tumors had almost four times the risk of experiencing distant metastases than those with PD-L1- tumors (hazard ratio 3.90). In addition, we found that PD-L1 expression was significantly associated with CD8+ T-cell density, but not with CD20+ B-cell density. While these results need to be confirmed in larger studies, they show that PD-L1 and CD8 may be used as biomarkers for node-positive patients at high risk of progression. The study also provides a rationale for selecting patients with node-positive PCa who might benefit the most from adjuvant immunotherapies. PATIENT SUMMARY: None of the available biomarkers can identify node-positive prostate cancer that will recur after surgery. We found that expression of PD-L1 by tumor cells and a high density of CD8+ T cells in tumor are associated with a higher risk of clinical progression in men with node-positive prostate cancer.

78 citations


Journal ArticleDOI
TL;DR: A framework for research to identify immunologic factors that may be modulated to improve immunotherapy for colorectal cancer patients is proposed, with the goal that the biomarkers and treatment strategies identified will become part of the routine management of coloreCTal cancer.
Abstract: Immunotherapy is rapidly becoming a standard of care for many cancers. However, colorectal cancer had been generally resistant to immunotherapy, despite features in common with sensitive tumors. Observations of substantial clinical activity for checkpoint blockade in colorectal cancers with defective mismatch repair (microsatellite instability-high tumors) have reignited interest in the search for immunotherapies that could be extended to the larger microsatellite stable (MSS) population. The Cancer Research Institute and Fight Colorectal Cancer convened a group of scientists, clinicians, advocates, and industry experts in colorectal cancer and immunotherapy to compile ongoing research efforts, identify gaps in translational and clinical research, and provide a blueprint to advance immunotherapy. We identified lack of a T-cell inflamed phenotype (due to inadequate T-cell infiltration, inadequate T-cell activation, or T-cell suppression) as a broad potential explanation for failure of checkpoint blockade in MSS. The specific cellular and molecular underpinnings for these various mechanisms are unclear. Whether biomarkers with prognostic value, such as the immunoscores and IFN signatures, would also predict benefit for immunotherapies in MSS colon cancer is unknown, but if so, these and other biomarkers for measuring the potential for an immune response in patients with colorectal cancer will need to be incorporated into clinical guidelines. We have proposed a framework for research to identify immunologic factors that may be modulated to improve immunotherapy for colorectal cancer patients, with the goal that the biomarkers and treatment strategies identified will become part of the routine management of colorectal cancer. Cancer Immunol Res; 5(11); 942-9. ©2017 AACR.

53 citations


Journal ArticleDOI
TL;DR: In this article, the authors showed a pro-tumoral effect of complement and particularly of the anaphylatoxines C3a and C5a in a large variety of tumor types.
Abstract: The complement system is a key component of the innate immunity, playing a role in pathogen elimination and in host homeostasis. The complement system has been considered for long time as an anti-tumoral element. However, recent studies showed a pro-tumoral effect of complement and particularly of the anaphylatoxines C3a and C5a in a large variety of tumor types. Complement proteins act on different levels of tumor progression, affecting the tumor cells, the angiogenesis and the immune microenvironment. The impact of the complement system on tumor progression seems to be cancer type-dependent and this has to be taken into account in the establishment of potential biomarkers and development of therapeutic strategies.

2 citations


Patent
11 Jul 2017
TL;DR: In this paper, the authors defined specific and robust transcriptomic markers of the immune and stromal cell populations of the tumor microenvironment, and they quantitatively validated them in an in-vitro RNA mixture model.
Abstract: The present invention relates to methods for quantifying the population of myeloid dendritic cells in a tissue sample. The tumor microenvironment is a complex tissue which contains many distinct cell populations, and whose composition may predict prognosis and response to therapies. In the present disclosure, using samples of purified cell populations, the inventors defined specific and robust transcriptomic markers of the immune and stromal cell populations of the tumor microenvironment, and they quantitatively validated them in an in-vitro RNA mixture model. More, they developed the 'Microenvironment Cell Populations-counter' (MCP-counter) method, which, using transcriptomic data, allows a robust quantification of the abundance of immune and stromal populations in cellularly heterogeneous healthy and cancerous tissues. Thus, the present invention relates to a method for quantifying the population of myeloid dendritic cells in a tissue sample obtained from a subject comprising determining the expression level of at least one gene selected from the group consisting of CD1E, CLEC10A, CLIC2, CD1A, WFDC21P and CD1B.