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Tissue-independent and tissue-specific patterns of DNA methylation alteration in cancer

BACKGROUND: There is growing evidence that DNA methylation alterations contribute to carcinogenesis. While cancer tissue exhibits widespread DNA methylation changes, the proportion of tissue-specific versus tissue-independent DNA methylation alterations in cancer is unclear. In addition, it is unkno...

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Autores principales: Chen, Yuting, Breeze, Charles E., Zhen, Shao, Beck, Stephan, Teschendorff, Andrew E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4782576/
https://www.ncbi.nlm.nih.gov/pubmed/26958079
http://dx.doi.org/10.1186/s13072-016-0058-4
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author Chen, Yuting
Breeze, Charles E.
Zhen, Shao
Beck, Stephan
Teschendorff, Andrew E.
author_facet Chen, Yuting
Breeze, Charles E.
Zhen, Shao
Beck, Stephan
Teschendorff, Andrew E.
author_sort Chen, Yuting
collection PubMed
description BACKGROUND: There is growing evidence that DNA methylation alterations contribute to carcinogenesis. While cancer tissue exhibits widespread DNA methylation changes, the proportion of tissue-specific versus tissue-independent DNA methylation alterations in cancer is unclear. In addition, it is unknown which factors determine the patterns of aberrant DNA methylation in cancer. RESULTS: Using HumanMethylation450 BeadChips (450k), we here analyze genome-wide DNA methylation patterns of ten types of fetal tissue, in addition to matched normal-cancer data for corresponding tissue types, encompassing over 3000 samples. We demonstrate that the level of aberrant cancer DNA methylation in gene promoters and gene bodies is highly correlated between cancer types. We estimate that up to 60 % of the DNA methylation variation in a cancer genome of a given tissue type is explained by the corresponding variation in a cancer genome of another type, implying that much of the cancer DNA methylation landscape is tissue independent. We further show that histone marks in normal cells are better predictors of aberrant cancer DNA methylation than the corresponding signals in human embryonic stem cells. We build predictors of cancer DNA methylation patterns and show that although inclusion of three histone marks (H3K4me3, H3K27me3 and H3K36me3) improves model accuracy, the bivalent marks are the most predictive. Finally, we show that chromatin accessibility of gene promoters in normal tissue dictates the promoter’s propensity to acquire aberrant DNA methylation in cancer in so far as it determines its level of DNA methylation in normal tissue. CONCLUSIONS: Our data show that a considerable fraction of the aberrant cancer DNA methylation landscape results from a mechanism that is largely tissue specific. Histone marks as specified in the normal cell of origin provide highly predictive models of aberrant cancer DNA methylation and outperform those derived from the same marks in hESCs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13072-016-0058-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-47825762016-03-09 Tissue-independent and tissue-specific patterns of DNA methylation alteration in cancer Chen, Yuting Breeze, Charles E. Zhen, Shao Beck, Stephan Teschendorff, Andrew E. Epigenetics Chromatin Research BACKGROUND: There is growing evidence that DNA methylation alterations contribute to carcinogenesis. While cancer tissue exhibits widespread DNA methylation changes, the proportion of tissue-specific versus tissue-independent DNA methylation alterations in cancer is unclear. In addition, it is unknown which factors determine the patterns of aberrant DNA methylation in cancer. RESULTS: Using HumanMethylation450 BeadChips (450k), we here analyze genome-wide DNA methylation patterns of ten types of fetal tissue, in addition to matched normal-cancer data for corresponding tissue types, encompassing over 3000 samples. We demonstrate that the level of aberrant cancer DNA methylation in gene promoters and gene bodies is highly correlated between cancer types. We estimate that up to 60 % of the DNA methylation variation in a cancer genome of a given tissue type is explained by the corresponding variation in a cancer genome of another type, implying that much of the cancer DNA methylation landscape is tissue independent. We further show that histone marks in normal cells are better predictors of aberrant cancer DNA methylation than the corresponding signals in human embryonic stem cells. We build predictors of cancer DNA methylation patterns and show that although inclusion of three histone marks (H3K4me3, H3K27me3 and H3K36me3) improves model accuracy, the bivalent marks are the most predictive. Finally, we show that chromatin accessibility of gene promoters in normal tissue dictates the promoter’s propensity to acquire aberrant DNA methylation in cancer in so far as it determines its level of DNA methylation in normal tissue. CONCLUSIONS: Our data show that a considerable fraction of the aberrant cancer DNA methylation landscape results from a mechanism that is largely tissue specific. Histone marks as specified in the normal cell of origin provide highly predictive models of aberrant cancer DNA methylation and outperform those derived from the same marks in hESCs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13072-016-0058-4) contains supplementary material, which is available to authorized users. BioMed Central 2016-03-08 /pmc/articles/PMC4782576/ /pubmed/26958079 http://dx.doi.org/10.1186/s13072-016-0058-4 Text en © Chen et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.
spellingShingle Research
Chen, Yuting
Breeze, Charles E.
Zhen, Shao
Beck, Stephan
Teschendorff, Andrew E.
Tissue-independent and tissue-specific patterns of DNA methylation alteration in cancer
title Tissue-independent and tissue-specific patterns of DNA methylation alteration in cancer
title_full Tissue-independent and tissue-specific patterns of DNA methylation alteration in cancer
title_fullStr Tissue-independent and tissue-specific patterns of DNA methylation alteration in cancer
title_full_unstemmed Tissue-independent and tissue-specific patterns of DNA methylation alteration in cancer
title_short Tissue-independent and tissue-specific patterns of DNA methylation alteration in cancer
title_sort tissue-independent and tissue-specific patterns of dna methylation alteration in cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4782576/
https://www.ncbi.nlm.nih.gov/pubmed/26958079
http://dx.doi.org/10.1186/s13072-016-0058-4
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