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      Distinct Immunological Landscapes Characterize Inherited and Sporadic Mismatch Repair Deficient Endometrial Cancer

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          Abstract

          Around 30% of endometrial cancers (EC) are mismatch repair (MMR) deficient, mostly as a consequence of mutations acquired during tumorigenesis, but a significant minority is caused by Lynch syndrome (LS). This inherited cancer predisposition syndrome primes an anti-cancer immune response, even in healthy carriers. We sought to explore the intra-tumoral immunological differences between genetically confirmed LS-associated MMR-deficient (MMRd), sporadic MMR-deficient, and MMR-proficient (MMRp) EC. Endometrial tumors from women with known LS were identified ( n = 25). Comparator tumors were recruited prospectively and underwent microsatellite instability (MSI) testing, immunohistochemistry (IHC) for MMR expression and MLH1 methylation testing. Those found to have MLH1 hypermethylation formed the sporadic MMR-deficient group ( n = 33). Those found to be mismatch repair proficient and microsatellite stable formed the MMR-proficient group ( n = 35). A fully automated monoplex IHC panel was performed on sequential formalin-fixed paraffin-embedded tumor sections to identify CD3+, CD8+, CD45RO+, FoxP3+, and PD-1+ immune cells, and PD-L1 expression by tumor/immune cells. Two independent observers quantified immune marker expression at the tumor center and invasive margin. Mean and overall compartmental T-cell counts generated standard (binary: Low/High) and higher resolution (quaternary: 0–25, 25–50, 50–75, 75–100%) immune scores, which were used as explanatory features in neural network, support vector machine, and discriminant predictive modeling. Overall T-cell counts were significantly different between the three cohorts: CD3+ ( p = <0.0001), CD8+ ( p = <0.0001), CD45RO+ (<0.0001), FoxP3+ ( p = <0.0001), and PD1+ ( p = <0.0001), with LS-associated MMR-deficient tumors having highest infiltrations. There were significant differences in CD8+ ( p = 0.02), CD45RO+ ( p = 0.007), and PD-1+ ( p = 0.005) T-cell counts at the invasive margin between LS-associated and sporadic MMR-deficient tumors, but not between sporadic MMR-deficient and MMR-proficient tumors. Predictive modeling could accurately determine MMR status based on CD8+ T-cell counts within the tumor center alone. This study shows that LS-associated and sporadic MMR-deficient EC are distinct immunological entities, which has important implications for treatment and prognosis.

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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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            Cancer incidence and survival in Lynch syndrome patients receiving colonoscopic and gynaecological surveillance: first report from the prospective Lynch syndrome database

            Objective Estimates of cancer risk and the effects of surveillance in Lynch syndrome have been subject to bias, partly through reliance on retrospective studies. We sought to establish more robust estimates in patients undergoing prospective cancer surveillance. Design We undertook a multicentre study of patients carrying Lynch syndrome-associated mutations affecting MLH1, MSH2, MSH6 or PMS2. Standardised information on surveillance, cancers and outcomes were collated in an Oracle relational database and analysed by age, sex and mutated gene. Results 1942 mutation carriers without previous cancer had follow-up including colonoscopic surveillance for 13 782 observation years. 314 patients developed cancer, mostly colorectal (n=151), endometrial (n=72) and ovarian (n=19). Cancers were detected from 25 years onwards in MLH1 and MSH2 mutation carriers, and from about 40 years in MSH6 and PMS2 carriers. Among first cancer detected in each patient the colorectal cancer cumulative incidences at 70 years by gene were 46%, 35%, 20% and 10% for MLH1, MSH2, MSH6 and PMS2 mutation carriers, respectively. The equivalent cumulative incidences for endometrial cancer were 34%, 51%, 49% and 24%; and for ovarian cancer 11%, 15%, 0% and 0%. Ten-year crude survival was 87% after any cancer, 91% if the first cancer was colorectal, 98% if endometrial and 89% if ovarian. Conclusions The four Lynch syndrome-associated genes had different penetrance and expression. Colorectal cancer occurred frequently despite colonoscopic surveillance but resulted in few deaths. Using our data, a website has been established at http://LScarisk.org enabling calculation of cumulative cancer risks as an aid to genetic counselling in Lynch syndrome.
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              Prognostic and predictive values of the immunoscore in patients with rectal cancer.

              To determine whether the tumor immune infiltrate, as recently evaluated with the Immunoscore methodology, could be a useful prognostic marker in patients with rectal cancers.
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                09 January 2020
                2019
                : 10
                : 3023
                Affiliations
                [1] 1University of Manchester Medical School , Manchester, United Kingdom
                [2] 2Manchester Royal Infirmary, Manchester University NHS Foundation Trust , Manchester, United Kingdom
                [3] 3Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester , Manchester, United Kingdom
                [4] 4Division of Evolution and Genomic Medicine, Faculty of Biology, Medicine and Health, St. Mary's Hospital, University of Manchester , Manchester, United Kingdom
                [5] 5Department of Histopathology, Manchester University NHS Foundation Trust , Manchester, United Kingdom
                [6] 6Department of Pathology, Leiden University Medical Center , Leiden, Netherlands
                [7] 7Manchester Centre for Genomic Medicine, Manchester Academic Health Science Centre, St. Mary's Hospital, Manchester University NHS Foundation Trust , Manchester, United Kingdom
                [8] 8Department of Obstetrics and Gynaecology, Manchester Academic Health Science Centre, St. Mary's Hospital, Manchester University NHS Foundation Trust , Manchester, United Kingdom
                Author notes

                Edited by: Khashayarsha Khazaie, Mayo Clinic College of Medicine & Science, United States

                Reviewed by: Jan Peter Böhm, Central Finland Health Care District, Finland; Joao Siufi Neto, Beneficência Portuguesa de São Paulo, Brazil

                *Correspondence: Emma J. Crosbie emma.crosbie@ 123456manchester.ac.uk

                This article was submitted to Cancer Immunity and Immunotherapy, a section of the journal Frontiers in Immunology

                †These authors have contributed equally to this work

                Article
                10.3389/fimmu.2019.03023
                6970202
                31998307
                14ef5931-e432-4bab-ab81-d949b6bd7b63
                Copyright © 2020 Ramchander, Ryan, Walker, Harries, Bolton, Bosse, Evans and Crosbie.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 07 October 2019
                : 10 December 2019
                Page count
                Figures: 6, Tables: 4, Equations: 0, References: 48, Pages: 15, Words: 7795
                Funding
                Funded by: National Institute for Health Research 10.13039/501100000272
                Funded by: Medical Research Council 10.13039/501100000265
                Categories
                Immunology
                Original Research

                Immunology
                lynch syndrome,endometrial cancer,mismatch repair,microsatellite instability,immune microenvironment,pd-1,immune checkpoint,predictive modeling

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