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      The unfolded protein response links tumor aneuploidy to local immune dysregulation

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          Abstract

          Aneuploidy is a chromosomal abnormality associated with poor prognosis in many cancer types. Here, we tested the hypothesis that the unfolded protein response (UPR) mechanistically links aneuploidy and local immune dysregulation. Using a single somatic copy number alteration (SCNA) score inclusive of whole‐chromosome, chromosome arm, and focal alterations in a pan‐cancer analysis of 9,375 samples in The Cancer Genome Atlas (TCGA) database, we found an inverse correlation with a cytotoxicity (CYT) score across disease stages. Co‐expression patterns of UPR genes changed substantially between SCNA low and SCNA high groups. Pathway activity scores showed increased activity of multiple branches of the UPR in response to aneuploidy. The PERK branch showed the strongest association with a reduced CYT score. The conditioned medium of aneuploid cells transmitted XBP1 splicing and caused IL‐6 and arginase 1 transcription in receiver bone marrow‐derived macrophages and markedly diminished the production of IFN‐γ and granzyme B in activated human T cells. We propose the UPR as a mechanistic link between aneuploidy and immune dysregulation in the tumor microenvironment.

          Abstract

          Aneuploidy, the unfolded protein response (UPR) and dysregulated local immunity are a common feature of human solid tumors, however, the relationship between these three variables has not been explored before. This study shows that the UPR links aneuploidy in tumor cells to dysregulation of macrophages and T cells in the tumor microenvironment.

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          Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.

          To explore the distinct genotypic and phenotypic states of melanoma tumors, we applied single-cell RNA sequencing (RNA-seq) to 4645 single cells isolated from 19 patients, profiling malignant, immune, stromal, and endothelial cells. Malignant cells within the same tumor displayed transcriptional heterogeneity associated with the cell cycle, spatial context, and a drug-resistance program. In particular, all tumors harbored malignant cells from two distinct transcriptional cell states, such that tumors characterized by high levels of the MITF transcription factor also contained cells with low MITF and elevated levels of the AXL kinase. Single-cell analyses suggested distinct tumor microenvironmental patterns, including cell-to-cell interactions. Analysis of tumor-infiltrating T cells revealed exhaustion programs, their connection to T cell activation and clonal expansion, and their variability across patients. Overall, we begin to unravel the cellular ecosystem of tumors and how single-cell genomics offers insights with implications for both targeted and immune therapies.
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            Molecular and genetic properties of tumors associated with local immune cytolytic activity.

            How the genomic landscape of a tumor shapes and is shaped by anti-tumor immunity has not been systematically explored. Using large-scale genomic data sets of solid tissue tumor biopsies, we quantified the cytolytic activity of the local immune infiltrate and identified associated properties across 18 tumor types. The number of predicted MHC Class I-associated neoantigens was correlated with cytolytic activity and was lower than expected in colorectal and other tumors, suggesting immune-mediated elimination. We identified recurrently mutated genes that showed positive association with cytolytic activity, including beta-2-microglobulin (B2M), HLA-A, -B and -C and Caspase 8 (CASP8), highlighting loss of antigen presentation and blockade of extrinsic apoptosis as key strategies of resistance to cytolytic activity. Genetic amplifications were also associated with high cytolytic activity, including immunosuppressive factors such as PDL1/2 and ALOX12B/15B. Our genetic findings thus provide evidence for immunoediting in tumors and uncover mechanisms of tumor-intrinsic resistance to cytolytic activity.
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              Cancer genome landscapes.

              Over the past decade, comprehensive sequencing efforts have revealed the genomic landscapes of common forms of human cancer. For most cancer types, this landscape consists of a small number of "mountains" (genes altered in a high percentage of tumors) and a much larger number of "hills" (genes altered infrequently). To date, these studies have revealed ~140 genes that, when altered by intragenic mutations, can promote or "drive" tumorigenesis. A typical tumor contains two to eight of these "driver gene" mutations; the remaining mutations are passengers that confer no selective growth advantage. Driver genes can be classified into 12 signaling pathways that regulate three core cellular processes: cell fate, cell survival, and genome maintenance. A better understanding of these pathways is one of the most pressing needs in basic cancer research. Even now, however, our knowledge of cancer genomes is sufficient to guide the development of more effective approaches for reducing cancer morbidity and mortality.
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                Author and article information

                Contributors
                hkcarter@health.ucsd.edu
                mzanetti@health.ucsd.edu
                Journal
                EMBO Rep
                EMBO Rep
                10.1002/(ISSN)1469-3178
                EMBR
                embor
                EMBO Reports
                John Wiley and Sons Inc. (Hoboken )
                1469-221X
                1469-3178
                26 October 2021
                06 December 2021
                26 October 2021
                : 22
                : 12 ( doiID: 10.1002/embr.v22.12 )
                : e52509
                Affiliations
                [ 1 ] Division of Medical Genetics Biostatistics Department of Medicine, Bioinformatics and System Biology Program University of California, San Diego La Jolla CA USA
                [ 2 ] The Laboratory of Immunology Department of Medicine and Moores Cancer Center University of California, San Diego La Jolla CA USA
                [ 3 ] IGM Genomics Center University of California, San Diego La Jolla CA USA
                Author notes
                [*] [* ] Corresponding author. Tel: +1 858 822 4706; E‐mail: hkcarter@ 123456health.ucsd.edu

                Corresponding author. Tel: +1 858 822 5412; E‐mail: mzanetti@ 123456health.ucsd.edu

                [ † ]

                These authors contributed equally to this work

                Author information
                https://orcid.org/0000-0002-8295-876X
                https://orcid.org/0000-0002-3531-4371
                https://orcid.org/0000-0001-7929-9508
                https://orcid.org/0000-0002-1729-2463
                https://orcid.org/0000-0001-6346-8776
                Article
                EMBR202152509
                10.15252/embr.202152509
                8647024
                34698427
                138fb169-41d0-4ecb-8b4c-11edeaffe5d7
                © 2021 The Authors. Published under the terms of the CC BY 4.0 license

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 14 September 2021
                : 21 January 2021
                : 22 September 2021
                Page count
                Figures: 14, Tables: 4, Pages: 24, Words: 18342
                Funding
                Funded by: HHS | NIH | NCI | Cancer Moonshot (Misión contra el Cáncer) , doi 10.13039/100015338;
                Award ID: RO1 CA220009
                Funded by: Mark Foundation For Cancer Research (The Mark Foundation for Cancer Research) , doi 10.13039/100014599;
                Award ID: 18‐022‐ELA
                Funded by: HHS | NIH | National Cancer Institute (NCI) , doi 10.13039/100000054;
                Award ID: T32CA121938
                Categories
                Article
                Articles
                Custom metadata
                2.0
                06 December 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.9 mode:remove_FC converted:06.12.2021

                Molecular biology
                aneuploidy,macrophages,t cells,tumor immune microenvironment,unfolded protein response,cancer,immunology,translation & protein quality

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