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      DNA methylation repels binding of hypoxia-inducible transcription factors to maintain tumor immunotolerance

      research-article
      1 , 2 , 1 , 2 , 1 , 2 , 1 , 2 , 3 , 4 , 1 , 2 , 1 , 5 , 6 , 1 , 7 , 8 , 9 , 10 , 1 , 2 , 1 , 5 , 6 , 11 , 11 , 11 , 12 , 13 , 14 , 15 , 1 , 7 , 8 , 3 , 16 , 17 , 18 , 6 , 19 , 1 , 5 , 1 , 2 , 11 , , 1 , 2 ,
      Genome Biology
      BioMed Central
      DNA methylation, Hypoxia, HIF, Cryptic transcripts, Immunotherapy, Cancer, Transcription factor binding

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          Abstract

          Background

          Hypoxia is pervasive in cancer and other diseases. Cells sense and adapt to hypoxia by activating hypoxia-inducible transcription factors (HIFs), but it is still an outstanding question why cell types differ in their transcriptional response to hypoxia.

          Results

          We report that HIFs fail to bind CpG dinucleotides that are methylated in their consensus binding sequence, both in in vitro biochemical binding assays and in vivo studies of differentially methylated isogenic cell lines. Based on in silico structural modeling, we show that 5-methylcytosine indeed causes steric hindrance in the HIF binding pocket. A model wherein cell-type-specific methylation landscapes, as laid down by the differential expression and binding of other transcription factors under normoxia, control cell-type-specific hypoxia responses is observed. We also discover ectopic HIF binding sites in repeat regions which are normally methylated. Genetic and pharmacological DNA demethylation, but also cancer-associated DNA hypomethylation, expose these binding sites, inducing HIF-dependent expression of cryptic transcripts. In line with such cryptic transcripts being more prone to cause double-stranded RNA and viral mimicry, we observe low DNA methylation and high cryptic transcript expression in tumors with high immune checkpoint expression, but not in tumors with low immune checkpoint expression, where they would compromise tumor immunotolerance. In a low-immunogenic tumor model, DNA demethylation upregulates cryptic transcript expression in a HIF-dependent manner, causing immune activation and reducing tumor growth.

          Conclusions

          Our data elucidate the mechanism underlying cell-type-specific responses to hypoxia and suggest DNA methylation and hypoxia to underlie tumor immunotolerance.

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          Most cited references30

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          Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade.

          The Cancer Genome Atlas revealed the genomic landscapes of human cancers. In parallel, immunotherapy is transforming the treatment of advanced cancers. Unfortunately, the majority of patients do not respond to immunotherapy, making the identification of predictive markers and the mechanisms of resistance an area of intense research. To increase our understanding of tumor-immune cell interactions, we characterized the intratumoral immune landscapes and the cancer antigenomes from 20 solid cancers and created The Cancer Immunome Atlas (https://tcia.at/). Cellular characterization of the immune infiltrates showed that tumor genotypes determine immunophenotypes and tumor escape mechanisms. Using machine learning, we identified determinants of tumor immunogenicity and developed a scoring scheme for the quantification termed immunophenoscore. The immunophenoscore was a superior predictor of response to anti-cytotoxic T lymphocyte antigen-4 (CTLA-4) and anti-programmed cell death protein 1 (anti-PD-1) antibodies in two independent validation cohorts. Our findings and this resource may help inform cancer immunotherapy and facilitate the development of precision immuno-oncology.
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            Insertion-and-deletion-derived tumour-specific neoantigens and the immunogenic phenotype: a pan-cancer analysis

            The focus of tumour-specific antigen analyses has been on single nucleotide variants (SNVs), with the contribution of small insertions and deletions (indels) less well characterised. We investigated whether the frameshift nature of indel mutations, which create novel open reading frames and a large quantity of mutagenic peptides highly distinct from self, might contribute to the immunogenic phenotype.
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              CANCER IMMUNOLOGY. The "cancer immunogram".

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                Author and article information

                Contributors
                bernard.thienpont@kuleuven.be
                diether.lambrechts@vib-kuleuven.be
                Journal
                Genome Biol
                Genome Biol
                Genome Biology
                BioMed Central (London )
                1474-7596
                1474-760X
                27 July 2020
                27 July 2020
                2020
                : 21
                : 182
                Affiliations
                [1 ]GRID grid.11486.3a, ISNI 0000000104788040, Center for Cancer Biology, VIB, ; 3000 Leuven, Belgium
                [2 ]GRID grid.5596.f, ISNI 0000 0001 0668 7884, Laboratory of Translational Genetics, Department of Human Genetics, , KU Leuven, ; 3000 Leuven, Belgium
                [3 ]GRID grid.418195.0, ISNI 0000 0001 0694 2777, Epigenetics Programme, Babraham Institute, ; Cambridge, CB22 3AT UK
                [4 ]GRID grid.5335.0, ISNI 0000000121885934, The Old Schools, , University of Cambridge, ; Trinity Lane Cambridge, CB2 1TN UK
                [5 ]GRID grid.5596.f, ISNI 0000 0001 0668 7884, Laboratory of Tumor Inflammation and Angiogenesis, Department of Oncology, , KU Leuven, ; 3000 Leuven, Belgium
                [6 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, Target Discovery Institute, Nuffield Department of Medicine, , University of Oxford, ; Oxford, UK
                [7 ]GRID grid.12981.33, ISNI 0000 0001 2360 039X, State Key Laboratory of Ophthalmology, Zhongsan Ophthalmic Center, , Sun Yat-Sen University, ; Guangzhou, China
                [8 ]GRID grid.5596.f, ISNI 0000 0001 0668 7884, Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology, Leuven Cancer Institute, , KU Leuven, ; 3000 Leuven, Belgium
                [9 ]GRID grid.5510.1, ISNI 0000 0004 1936 8921, Institute of Basic Medical Sciences, , University of Oslo, ; 0372 Oslo, Norway
                [10 ]GRID grid.5596.f, ISNI 0000 0001 0668 7884, Laboratory of Dermatology, Department of Oncology, , KU Leuven, ; 3000 Leuven, Belgium
                [11 ]GRID grid.5596.f, ISNI 0000 0001 0668 7884, Laboratory for Functional Epigenetics, Department of Human Genetics, , KU Leuven, ; 3000 Leuven, Belgium
                [12 ]GRID grid.5342.0, ISNI 0000 0001 2069 7798, Unit for Structural Biology, Department of Biochemistry and Microbiology, , Ghent University, ; 9052 Ghent, Belgium
                [13 ]GRID grid.11486.3a, ISNI 0000000104788040, VIB Center for Inflammation Research, ; 9052 Ghent, Belgium
                [14 ]GRID grid.25879.31, ISNI 0000 0004 1936 8972, Abramson Family Cancer Research Institute, Perelman School of Medicine, , University of Pennsylvania, ; Philadelphia, PA 19104 USA
                [15 ]GRID grid.25879.31, ISNI 0000 0004 1936 8972, Department of Cell and Developmental Biology, Perelman School of Medicine, , University of Pennsylvania, ; Philadelphia, PA 19104 USA
                [16 ]GRID grid.5335.0, ISNI 0000000121885934, Centre for Trophoblast Research, , University of Cambridge, ; Cambridge, CB2 3EG UK
                [17 ]GRID grid.10306.34, ISNI 0000 0004 0606 5382, Wellcome Trust Sanger Institute, ; Hinxton, Cambridge, CB10 1SA UK
                [18 ]GRID grid.5335.0, ISNI 0000000121885934, Department of Physiology, Development and Neuroscience, , University of Cambridge, ; Cambridge, CB2 3EG UK
                [19 ]GRID grid.5596.f, ISNI 0000 0001 0668 7884, Clinical and Experimental Endocrinology, Department of Chronic Diseases, Metabolism and Ageing, , KU Leuven, ; 3000 Leuven, Belgium
                Author information
                http://orcid.org/0000-0002-8772-6845
                Article
                2087
                10.1186/s13059-020-02087-z
                7384226
                32718321
                c8266324-af9a-4ddd-8d30-eedf3240a889
                © The Author(s) 2020

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 23 January 2020
                : 29 June 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: CHAMELEON 617595
                Award ID: CHAMELEO 334420
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100005026, Stichting Tegen Kanker;
                Award ID: FAF-C/2016/876
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100003130, Fonds Wetenschappelijk Onderzoek;
                Award ID: G070615N
                Award ID: 11B3818N
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Genetics
                dna methylation,hypoxia,hif,cryptic transcripts,immunotherapy,cancer,transcription factor binding
                Genetics
                dna methylation, hypoxia, hif, cryptic transcripts, immunotherapy, cancer, transcription factor binding

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