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      Immune-awakening revealed by peripheral T cell dynamics after one cycle of immunotherapy

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          Abstract

          Our understanding of how checkpoint inhibitors (CPI) affect T cell evolution is incomplete, limiting our ability to achieve full clinical benefit from these drugs. Here we analyzed peripheral T cell populations after one cycle of CPI and identified a dynamic awakening of the immune system revealed by T cell evolution in response to treatment. We sequenced T cell receptors (TCR) in plasma cell-free DNA (cfDNA) and peripheral blood mononuclear cells (PBMC) and performed phenotypic analysis of peripheral T cell subsets from metastatic melanoma patients treated with CPI. We found that early peripheral T cell turnover and TCR repertoire dynamics identified which patients would respond to treatment. Additionally, the expansion of a subset of immune-effector peripheral T cells we call T IE cells correlated with response. These events are prognostic and occur within 3 weeks of starting immunotherapy, raising the potential for monitoring patients responses using minimally invasive liquid biopsies.”

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          Most cited references36

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          High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy

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            Immune checkpoint blockade in infectious diseases

            The upregulation of immune checkpoint molecules, such as programmed cell death protein 1 (PD1) and cytotoxic T lymphocyte antigen 4 (CTLA4), on immune cells occurs during acute infections, such as malaria, as well as during chronic persistent viral infections, including HIV and hepatitis B virus. These pathways are important for preventing immune-driven pathology but can also limit immune-mediated clearance of the infection. The recent success of immune checkpoint blockade in cancer therapy suggests that targeting these pathways would also be effective for preventing and treating a range of infectious diseases. Here, we review our current understanding of immune checkpoint pathways in the pathogenesis of infectious diseases and discuss the potential for therapeutically targeting these pathways in this setting.
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              Web-based analysis and publication of flow cytometry experiments.

              Cytobank is a Web-based application for storage, analysis, and sharing of flow cytometry experiments. Researchers use a Web browser to log in and use a wide range of tools developed for basic and advanced flow cytometry. In addition to providing access to standard cytometry tools from any computer, Cytobank creates a platform and community for developing new analysis and publication tools. Figure layouts created on Cytobank are designed to allow transparent access to the underlying experiment annotation and data processing steps. Since all flow cytometry files and analysis data are stored on a central server, experiments and figures can be viewed or edited by anyone with the proper permission, from any computer with Internet access. Once a primary researcher has performed the initial analysis of the data, collaborators can engage in experiment analysis and make their own figure layouts using the gated, compensated experiment files. Cytobank is available to the scientific community at http://www.cytobank.org. (c) 2010 by John Wiley & Sons, Inc.
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                Author and article information

                Journal
                101761119
                Nat Cancer
                Nat Cancer
                Nature cancer
                2662-1347
                18 December 2019
                10 February 2020
                February 2020
                27 February 2020
                : 1
                : 2
                : 210-221
                Affiliations
                [1 ]Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park SK10 4TG, United Kingdom
                [2 ]The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester M20 4BX, United Kingdom
                [3 ]Advanced Imaging and Flow Cytometry, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park SK10 4TG, United Kingdom
                [4 ]Manchester Cancer Research Centre Biobank, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester M20 4BX, United Kingdom
                [5 ]Molecular Biology Core Facility, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park SK10 4TG, United Kingdom
                Author notes
                [* ] Corresponding authors: Prof Paul Lorigan, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester M20 4BX, United Kingdom, paul.lorigan@ 123456christie.nhs.uk ; Prof Richard Marais, Molecular Oncology Group, CRUK Manchester Institute, The University of Manchester, Alderley Park SK10 4TG, United Kingdom, Tel: +44 (0)161 306 6017, richard.marais@ 123456cruk.manchester.ac.uk
                [6]

                current affiliation: Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria

                [7]

                current affiliation: German Cancer Consortium (DKTK) German Cancer Research Centre (DKFZ), Heidelberg, Germany and Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technical University Dresden, Germany.

                Article
                EMS85253
                10.1038/s43018-019-0022-x
                7046489
                32110781
                42a375b0-7950-4b50-85fe-e59d8102a02f

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