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      Cytotoxic CD4 + T cells in cancer: Expanding the immune effector toolbox

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      1 , 1 , *
      Immunity

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          SUMMARY

          Cytotoxic T cells are important effectors of anti-tumor immunity. While tumor killing is ascribed to CD8 + T cell function, pre-clinical and clinical studies have identified intra-tumoral CD4 + T cells that possess cytotoxic programs and can directly kill cancer cells. Cytotoxic CD4 + T cells are found in other disease settings including infection and autoimmunity. Here, we review the phenotypic and functional characteristics of cytotoxic CD4 + T cells in non-cancer and cancer contexts. We conduct a comparative examination of cytolytic mechanisms of cytotoxic CD4 + T cells across disease states and synthesize features that define these cells independent of context. We discuss regulatory mechanisms driving ontogeny and effector function and evidence for the clinical relevance of cytotoxic CD4 + T cells in cancer. In this context, we highlight important gaps in understanding in the biology of cytotoxic CD4 + T cells as well as the potential use of these cells in immunotherapies for specific cancers.

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          Most cited references71

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          Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer

          The diverse malignant, stromal, and immune cells in tumors affect growth, metastasis and response to therapy. We profiled transcriptomes of ~6,000 single cells from 18 head and neck squamous cell carcinoma (HNSCC) patients, including five matched pairs of primary tumors and lymph node metastases. Stromal and immune cells had consistent expression programs across patients. Conversely, malignant cells varied within and between tumors in their expression of signatures related to cell cycle, stress, hypoxia, epithelial differentiation, and partial epithelial-to-mesenchymal transition (p-EMT). Cells expressing the p-EMT program spatially localized to the leading edge of primary tumors. By integrating single-cell transcriptomes with bulk expression profiles for hundreds of tumors, we refined HNSCC subtypes by their malignant and stromal composition, and established p-EMT as an independent predictor of nodal metastasis, grade, and adverse pathologic features. Our results provide insight into the HNSCC ecosystem and define stromal interactions and a p-EMT program associated with metastasis.
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            An immunogenic personal neoantigen vaccine for patients with melanoma

            Effective anti-tumour immunity in humans has been associated with the presence of T cells directed at cancer neoantigens, a class of HLA-bound peptides that arise from tumour-specific mutations. They are highly immunogenic because they are not present in normal tissues and hence bypass central thymic tolerance. Although neoantigens were long-envisioned as optimal targets for an anti-tumour immune response, their systematic discovery and evaluation only became feasible with the recent availability of massively parallel sequencing for detection of all coding mutations within tumours, and of machine learning approaches to reliably predict those mutated peptides with high-affinity binding of autologous human leukocyte antigen (HLA) molecules. We hypothesized that vaccination with neoantigens can both expand pre-existing neoantigen-specific T-cell populations and induce a broader repertoire of new T-cell specificities in cancer patients, tipping the intra-tumoural balance in favour of enhanced tumour control. Here we demonstrate the feasibility, safety, and immunogenicity of a vaccine that targets up to 20 predicted personal tumour neoantigens. Vaccine-induced polyfunctional CD4+ and CD8+ T cells targeted 58 (60%) and 15 (16%) of the 97 unique neoantigens used across patients, respectively. These T cells discriminated mutated from wild-type antigens, and in some cases directly recognized autologous tumour. Of six vaccinated patients, four had no recurrence at 25 months after vaccination, while two with recurrent disease were subsequently treated with anti-PD-1 (anti-programmed cell death-1) therapy and experienced complete tumour regression, with expansion of the repertoire of neoantigen-specific T cells. These data provide a strong rationale for further development of this approach, alone and in combination with checkpoint blockade or other immunotherapies.
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              Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment

              Knowledge of immune cell phenotypes in the tumor microenvironment is essential for understanding mechanisms of cancer progression and immunotherapy response. We profiled 45,000 immune cells from eight breast carcinomas, as well as matched normal breast tissue, blood, and lymph node, using single-cell RNA-seq. We developed a preprocessing pipeline, SEQC, and a Bayesian clustering and normalization method, Biscuit, to address computational challenges inherent to single-cell data. Despite significant similarity between normal and tumor tissue-resident immune cells, we observed continuous phenotypic expansions specific to the tumor microenvironment. Analysis of paired single-cell RNA and T cell receptor (TCR) sequencing data from 27,000 additional T cells revealed the combinatorial impact of TCR utilization on phenotypic diversity. Our results support a model of continuous activation in T cells and do not comport with the macrophage polarization model in cancer, with important implications for characterizing tumor-infiltrating immune cells. Single cell analysis of breast tumor immune environment coupled with computational analysis yields an immune map of breast cancer that points to continuous T cell activation and differentiation states.
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                Author and article information

                Journal
                9432918
                8591
                Immunity
                Immunity
                Immunity
                1074-7613
                1097-4180
                13 January 2022
                14 December 2021
                02 February 2022
                : 54
                : 12
                : 2701-2711
                Affiliations
                [1 ]Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
                Author notes
                Article
                NIHMS1770356
                10.1016/j.immuni.2021.11.015
                8809482
                34910940
                3fc7676b-d340-4b03-8f7b-750c66521df4

                This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/).

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                Immunology
                Immunology

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