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      DNA methylation landscapes of 1538 breast cancers reveal a replication-linked clock, epigenomic instability and cis-regulation

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          Abstract

          DNA methylation is aberrant in cancer, but the dynamics, regulatory role and clinical implications of such epigenetic changes are still poorly understood. Here, reduced representation bisulfite sequencing (RRBS) profiles of 1538 breast tumors and 244 normal breast tissues from the METABRIC cohort are reported, facilitating detailed analysis of DNA methylation within a rich context of genomic, transcriptional, and clinical data. Tumor methylation from immune and stromal signatures are deconvoluted leading to the discovery of a tumor replication-linked clock with genome-wide methylation loss in non-CpG island sites. Unexpectedly, methylation in most tumor CpG islands follows two replication-independent processes of gain (MG) or loss (ML) that we term epigenomic instability. Epigenomic instability is correlated with tumor grade and stage, TP53 mutations and poorer prognosis. After controlling for these global trans-acting trends, as well as for X-linked dosage compensation effects, cis-specific methylation and expression correlations are uncovered at hundreds of promoters and over a thousand distal elements. Some of these targeted known tumor suppressors and oncogenes. In conclusion, this study demonstrates that global epigenetic instability can erode cancer methylomes and expose them to localized methylation aberrations in-cis resulting in transcriptional changes seen in tumors.

          Abstract

          Understanding the molecular mechanisms underlying DNA methylation in cancer and its clinical relevance remains crucial. Here, the authors study RRBS-based profiles of 1538 breast tumours and 244 normal breast tissues from the METABRIC cohort and report epigenomic instability and cis-regulatory effects.

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          The Hallmarks of Cancer

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            Comprehensive molecular portraits of human breast tumors

            Summary We analyzed primary breast cancers by genomic DNA copy number arrays, DNA methylation, exome sequencing, mRNA arrays, microRNA sequencing and reverse phase protein arrays. Our ability to integrate information across platforms provided key insights into previously-defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity. Somatic mutations in only three genes (TP53, PIK3CA and GATA3) occurred at > 10% incidence across all breast cancers; however, there were numerous subtype-associated and novel gene mutations including the enrichment of specific mutations in GATA3, PIK3CA and MAP3K1 with the Luminal A subtype. We identified two novel protein expression-defined subgroups, possibly contributed by stromal/microenvironmental elements, and integrated analyses identified specific signaling pathways dominant in each molecular subtype including a HER2/p-HER2/HER1/p-HER1 signature within the HER2-Enriched expression subtype. Comparison of Basal-like breast tumors with high-grade Serous Ovarian tumors showed many molecular commonalities, suggesting a related etiology and similar therapeutic opportunities. The biologic finding of the four main breast cancer subtypes caused by different subsets of genetic and epigenetic abnormalities raises the hypothesis that much of the clinically observable plasticity and heterogeneity occurs within, and not across, these major biologic subtypes of breast cancer.
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              Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications

              Summary: A combination of bisulfite treatment of DNA and high-throughput sequencing (BS-Seq) can capture a snapshot of a cell's epigenomic state by revealing its genome-wide cytosine methylation at single base resolution. Bismark is a flexible tool for the time-efficient analysis of BS-Seq data which performs both read mapping and methylation calling in a single convenient step. Its output discriminates between cytosines in CpG, CHG and CHH context and enables bench scientists to visualize and interpret their methylation data soon after the sequencing run is completed. Availability and implementation: Bismark is released under the GNU GPLv3+ licence. The source code is freely available from www.bioinformatics.bbsrc.ac.uk/projects/bismark/. Contact: felix.krueger@bbsrc.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
                amos.tanay@weizmann.ac.il
                Carlos.Caldas@cruk.cam.ac.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                13 September 2021
                13 September 2021
                2021
                : 12
                : 5406
                Affiliations
                [1 ]GRID grid.5335.0, ISNI 0000000121885934, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, , University of Cambridge, ; Cambridge, UK
                [2 ]GRID grid.5335.0, ISNI 0000000121885934, Department of Oncology, , University of Cambridge, ; Cambridge, UK
                [3 ]GRID grid.13992.30, ISNI 0000 0004 0604 7563, Department of Computer Science and Applied Mathematics, and Department of Biological Regulation, , Weizmann Institute of Science, ; Rehovot, Israel
                [4 ]GRID grid.451388.3, ISNI 0000 0004 1795 1830, Mechanisms of Transcription Laboratory, , The Francis Crick Institute, ; London, UK
                [5 ]Cancer Research UK Cambridge Centre, Cambridge, UK
                [6 ]GRID grid.24029.3d, ISNI 0000 0004 0383 8386, Cambridge Experimental Cancer Medicine Centre and NIHR Cambridge Biomedical Research Centre, , Cambridge University Hospitals NHS Foundation Trust, ; Cambridge, UK
                [7 ]GRID grid.470367.1, Research Institute in Oncology and Hematology, ; Winnipeg, Manitoba Canada
                [8 ]GRID grid.13097.3c, ISNI 0000 0001 2322 6764, School of Cancer and Pharmaceutical Sciences, , King’s College London, ; London, UK
                [9 ]GRID grid.240404.6, ISNI 0000 0001 0440 1889, Division of Cancer and Stem Cells, School of Medicine, , University of Nottingham and Nottingham University Hospital NHS Trust, ; Nottingham, UK
                [10 ]GRID grid.5386.8, ISNI 000000041936877X, Division of Hematology and Medical Oncology, , Weill Cornell Medicine, ; New York, NY USA
                [11 ]GRID grid.27755.32, ISNI 0000 0000 9136 933X, Department of Medicine, , University of Virginia School of Medicine, ; Charlottesville, VA USA
                [12 ]GRID grid.27755.32, ISNI 0000 0000 9136 933X, Department of Biochemistry and Molecular Genetics, , University of Virginia School of Medicine, ; Charlottesville, VA USA
                [13 ]GRID grid.5386.8, ISNI 000000041936877X, Department of Physiology and Biophysics, , Weill Cornell Medicine, ; New York, NY USA
                [14 ]GRID grid.248762.d, ISNI 0000 0001 0702 3000, Department of Molecular Oncology, British Columbia Cancer Research Centre, ; Vancouver, British Columbia Canada
                [15 ]GRID grid.7497.d, ISNI 0000 0004 0492 0584, Present Address: German Cancer Research Center (DKFZ), ; Heidelberg, 69120 Germany
                Author information
                http://orcid.org/0000-0001-7010-8189
                http://orcid.org/0000-0002-8458-9507
                http://orcid.org/0000-0001-5697-1082
                http://orcid.org/0000-0003-3345-3965
                http://orcid.org/0000-0001-7587-0906
                http://orcid.org/0000-0001-8577-9655
                http://orcid.org/0000-0001-5292-8474
                http://orcid.org/0000-0002-4771-628X
                http://orcid.org/0000-0002-1850-1642
                http://orcid.org/0000-0002-8074-2287
                http://orcid.org/0000-0002-0487-9599
                http://orcid.org/0000-0003-0008-4884
                http://orcid.org/0000-0001-9419-3824
                http://orcid.org/0000-0003-3547-1489
                Article
                25661
                10.1038/s41467-021-25661-w
                8437946
                34518533
                d2311424-0989-4848-9454-e22af70b0689
                © 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
                : 22 March 2021
                : 18 August 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100004440, Wellcome Trust (Wellcome);
                Funded by: FundRef https://doi.org/10.13039/501100000289, Cancer Research UK (CRUK);
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
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                © The Author(s) 2021

                Uncategorized
                breast cancer,epigenomics
                Uncategorized
                breast cancer, epigenomics

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