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      Galectin-9 interacts with PD-1 and TIM-3 to regulate T cell death and is a target for cancer immunotherapy

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          Abstract

          The two T cell inhibitory receptors PD-1 and TIM-3 are co-expressed during exhausted T cell differentiation, and recent evidence suggests that their crosstalk regulates T cell exhaustion and immunotherapy efficacy; however, the molecular mechanism is unclear. Here we show that PD-1 contributes to the persistence of PD-1 +TIM-3 + T cells by binding to the TIM-3 ligand galectin-9 (Gal-9) and attenuates Gal-9/TIM-3-induced cell death. Anti-Gal-9 therapy selectively expands intratumoral TIM-3 + cytotoxic CD8 T cells and immunosuppressive regulatory T cells (T reg cells). The combination of anti-Gal-9 and an agonistic antibody to the co-stimulatory receptor GITR (glucocorticoid-induced tumor necrosis factor receptor-related protein) that depletes T reg cells induces synergistic antitumor activity. Gal-9 expression and secretion are promoted by interferon β and γ, and high Gal-9 expression correlates with poor prognosis in multiple human cancers. Our work uncovers a function for PD-1 in exhausted T cell survival and suggests Gal-9 as a promising target for immunotherapy.

          Abstract

          Galectin-9 regulates several cellular processes including TIM-3-mediated T cell death. Here the authors show that co-expressed PD-1 protects TIM-3 + T cells from galectin-9-induced cell death and that anti-galectin-9 in combination with GITR agonism promotes an anti-tumor immune response.

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          The blockade of immune checkpoints in cancer immunotherapy.

          Among the most promising approaches to activating therapeutic antitumour immunity is the blockade of immune checkpoints. Immune checkpoints refer to a plethora of inhibitory pathways hardwired into the immune system that are crucial for maintaining self-tolerance and modulating the duration and amplitude of physiological immune responses in peripheral tissues in order to minimize collateral tissue damage. It is now clear that tumours co-opt certain immune-checkpoint pathways as a major mechanism of immune resistance, particularly against T cells that are specific for tumour antigens. Because many of the immune checkpoints are initiated by ligand-receptor interactions, they can be readily blocked by antibodies or modulated by recombinant forms of ligands or receptors. Cytotoxic T-lymphocyte-associated antigen 4 (CTLA4) antibodies were the first of this class of immunotherapeutics to achieve US Food and Drug Administration (FDA) approval. Preliminary clinical findings with blockers of additional immune-checkpoint proteins, such as programmed cell death protein 1 (PD1), indicate broad and diverse opportunities to enhance antitumour immunity with the potential to produce durable clinical responses.
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            GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses

            Abstract Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions. While certain existing web servers are valuable and widely used, many expression analysis functions needed by experimental biologists are still not adequately addressed by these tools. We introduce GEPIA (Gene Expression Profiling Interactive Analysis), a web-based tool to deliver fast and customizable functionalities based on TCGA and GTEx data. GEPIA provides key interactive and customizable functions including differential expression analysis, profiling plotting, correlation analysis, patient survival analysis, similar gene detection and dimensionality reduction analysis. The comprehensive expression analyses with simple clicking through GEPIA greatly facilitate data mining in wide research areas, scientific discussion and the therapeutic discovery process. GEPIA fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources. GEPIA is available at http://gepia.cancer-pku.cn/.
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              The immune contexture in human tumours: impact on clinical outcome.

              Tumours grow within an intricate network of epithelial cells, vascular and lymphatic vessels, cytokines and chemokines, and infiltrating immune cells. Different types of infiltrating immune cells have different effects on tumour progression, which can vary according to cancer type. In this Opinion article we discuss how the context-specific nature of infiltrating immune cells can affect the prognosis of patients.
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                Author and article information

                Contributors
                ryang@mdanderson.org
                mhung@cmu.edu.tw
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                5 February 2021
                5 February 2021
                2021
                : 12
                : 832
                Affiliations
                [1 ]GRID grid.240145.6, ISNI 0000 0001 2291 4776, Department of Molecular and Cellular Oncology, , The University of Texas MD Anderson Cancer Center, ; Houston, TX USA
                [2 ]GRID grid.412645.0, ISNI 0000 0004 1757 9434, Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, , Tianjin Medical University General Hospital, ; Tianjin, China
                [3 ]GRID grid.254145.3, ISNI 0000 0001 0083 6092, Graduate Institute of Biomedical Sciences and Center for Molecular Medicine, , China Medical University, ; Taichung, Taiwan
                [4 ]GRID grid.413087.9, ISNI 0000 0004 1755 3939, Department of Liver Surgery and Transplantation, Liver Cancer Institute, , Zhongshan Hospital, Fudan University and Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, ; Shanghai, China
                [5 ]GRID grid.410736.7, ISNI 0000 0001 2204 9268, Department of Pathology, , Harbin Medical University, ; Harbin, China
                [6 ]GRID grid.202119.9, ISNI 0000 0001 2364 8385, Department of Biomedical Sciences, , College of Medicine, Inha University, ; Incheon, Korea
                [7 ]GRID grid.410764.0, ISNI 0000 0004 0573 0731, Division of Hematology/Medical Oncology, Department of Internal Medicine, , Taichung Veterans General Hospital, ; Taichung, Taiwan
                [8 ]GRID grid.12981.33, ISNI 0000 0001 2360 039X, Department of Medical Oncology, , The Seventh Affiliated Hospital, Sun Yat−Sen University, ; Shenzhen, China
                Author information
                http://orcid.org/0000-0002-0278-4385
                http://orcid.org/0000-0003-4317-4740
                Article
                21099
                10.1038/s41467-021-21099-2
                7864927
                33547304
                3c85b7c6-e8f9-4b4f-af85-5a10eec0a2c7
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 April 2020
                : 7 January 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100001006, Breast Cancer Research Foundation (BCRF);
                Funded by: FundRef https://doi.org/10.13039/501100001026, National Breast Cancer Foundation (NBCF);
                Funded by: FundRef https://doi.org/10.13039/501100004543, China Scholarship Council (CSC);
                Funded by: Inha University Institution Fund (to J.-H.C.); and Inha University Research Grant (to J.-H.C).
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                cancer,cancer immunotherapy,tumour immunology,cell biology,immunology
                Uncategorized
                cancer, cancer immunotherapy, tumour immunology, cell biology, immunology

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