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      Mechanistic convergence of the TIGIT and PD-1 inhibitory pathways necessitates co-blockade to optimize anti-tumor CD8 + T cell responses

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          SUMMARY

          Dual blockade of the PD-1 and TIGIT coinhibitory receptors on T cells shows promising early results in cancer patients. Here, we studied the mechanisms whereby PD-1 and/or TIGIT blockade modulate anti-tumor CD8 + T cells. Although PD-1 and TIGIT are thought to regulate different costimulatory receptors (CD28 and CD226), effectiveness of PD-1 or TIGIT inhibition in preclinical tumor models was reduced in the absence of CD226. CD226 expression associated with clinical benefit in patients with non-small cell lung carcinoma (NSCLC) treated with anti-PD-L1 antibody atezolizumab. CD226 and CD28 were co-expressed on NSCLC infiltrating CD8 + T cells poised for expansion. Mechanistically, PD-1 inhibited phosphorylation of both CD226 and CD28 via its ITIM-containing intracellular domain (ICD); TIGIT’s ICD was dispensable, with TIGIT restricting CD226 co-stimulation by blocking interaction with their common ligand PVR (CD155). Thus, full restoration of CD226 signaling, and optimal anti-tumor CD8 + T cell responses, requires blockade of TIGIT and PD-1, providing a mechanistic rationale for combinatorial targeting in the clinic.

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          In brief

          Dual blockade of the PD-1 and TIGIT coinhibitory receptors on T cells shows promising early results in cancer patients. Banta et al. find that PD-1 and TIGIT disrupt activation of the costimulatory receptor CD226 through distinct mechanisms, providing mechanistic rationale for the dual blockade of PD-(L)1 and TIGIT in cancer immunotherapy.

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          Most cited references70

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          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            Single-cell transcriptomics has transformed our ability to characterize cell states, but deep biological understanding requires more than a taxonomic listing of clusters. As new methods arise to measure distinct cellular modalities, a key analytical challenge is to integrate these datasets to better understand cellular identity and function. Here, we develop a strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities. After demonstrating improvement over existing methods for integrating scRNA-seq data, we anchor scRNA-seq experiments with scATAC-seq to explore chromatin differences in closely related interneuron subsets and project protein expression measurements onto a bone marrow atlas to characterize lymphocyte populations. Lastly, we harmonize in situ gene expression and scRNA-seq datasets, allowing transcriptome-wide imputation of spatial gene expression patterns. Our work presents a strategy for the assembly of harmonized references and transfer of information across datasets.
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              Oncology meets immunology: the cancer-immunity cycle.

              The genetic and cellular alterations that define cancer provide the immune system with the means to generate T cell responses that recognize and eradicate cancer cells. However, elimination of cancer by T cells is only one step in the Cancer-Immunity Cycle, which manages the delicate balance between the recognition of nonself and the prevention of autoimmunity. Identification of cancer cell T cell inhibitory signals, including PD-L1, has prompted the development of a new class of cancer immunotherapy that specifically hinders immune effector inhibition, reinvigorating and potentially expanding preexisting anticancer immune responses. The presence of suppressive factors in the tumor microenvironment may explain the limited activity observed with previous immune-based therapies and why these therapies may be more effective in combination with agents that target other steps of the cycle. Emerging clinical data suggest that cancer immunotherapy is likely to become a key part of the clinical management of cancer. Copyright © 2013 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                9432918
                8591
                Immunity
                Immunity
                Immunity
                1074-7613
                1097-4180
                12 July 2022
                08 March 2022
                16 July 2022
                : 55
                : 3
                : 512-526.e9
                Affiliations
                [1 ]Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
                [2 ]Section of Cell & Developmental Biology, Division of Biological Sciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
                [3 ]Present address: Iovance, 3802 Spectrum Blvd., Tampa, FL 33612, USA
                [4 ]Present address: Graphite Bio, 279 E. Grand Avenue, South San Francisco, CA 94080, USA
                [5 ]These authors contributed equally
                [6 ]Senior author
                [7 ]Lead contact
                Author notes

                AUTHOR CONTRIBUTIONS

                K.L.B., A.S.C., and E.Y.C. performed in vivo tumor studies, in vitro assays, and bioinformatics analyses; A.A.-Y., C.T., and W.E.O. performed CyTOF bioinformatics analyses; T.D.W. performed scRNA-seq bioinformatics analyses; R.C. and S.M. managed and performed in vivo tumor studies; L.C.-A. performed FRET experiments; and X.X. and A.F. performed the MS experiments under the supervision of E.J.B. X.X. performed coculture and liposome experiments and in vitro assays; J.L.G., I.M., E.H., and E.Y.C. conceived and supervised this work; and K.L.B., X.X., E.H., E.Y.C., and I.M wrote the manuscript.

                Article
                NIHMS1820604
                10.1016/j.immuni.2022.02.005
                9287124
                35263569
                47c4c275-622d-442e-be65-afd08324aebf

                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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