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Pan-cancer patterns of DNA methylation
The comparison of DNA methylation patterns across cancer types (pan-cancer methylome analyses) has revealed distinct subgroups of tumors that share similar methylation patterns. Integration of these data with the wealth of information derived from cancer genome profiling studies performed by large i...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254427/ https://www.ncbi.nlm.nih.gov/pubmed/25473433 http://dx.doi.org/10.1186/s13073-014-0066-6 |
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author | Witte, Tania Plass, Christoph Gerhauser, Clarissa |
author_facet | Witte, Tania Plass, Christoph Gerhauser, Clarissa |
author_sort | Witte, Tania |
collection | PubMed |
description | The comparison of DNA methylation patterns across cancer types (pan-cancer methylome analyses) has revealed distinct subgroups of tumors that share similar methylation patterns. Integration of these data with the wealth of information derived from cancer genome profiling studies performed by large international consortia has provided novel insights into the cellular aberrations that contribute to cancer development. There is evidence that genetic mutations in epigenetic regulators (such as DNMT3, IDH1/2 or H3.3) mediate or contribute to these patterns, although a unifying molecular mechanism underlying the global alterations of DNA methylation has largely been elusive. Knowledge gained from pan-cancer methylome analyses will aid the development of diagnostic and prognostic biomarkers, improve patient stratification and the discovery of novel druggable targets for therapy, and will generate hypotheses for innovative clinical trial designs based on methylation subgroups rather than on cancer subtypes. In this review, we discuss recent advances in the global profiling of tumor genomes for aberrant DNA methylation and the integration of these data with cancer genome profiling data, highlight potential mechanisms leading to different methylation subgroups, and show how this information can be used in basic research and for translational applications. A remaining challenge is to experimentally prove the functional link between observed pan-cancer methylation patterns, the associated genetic aberrations, and their relevance for the development of cancer. |
format | Online Article Text |
id | pubmed-4254427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42544272014-12-04 Pan-cancer patterns of DNA methylation Witte, Tania Plass, Christoph Gerhauser, Clarissa Genome Med Review The comparison of DNA methylation patterns across cancer types (pan-cancer methylome analyses) has revealed distinct subgroups of tumors that share similar methylation patterns. Integration of these data with the wealth of information derived from cancer genome profiling studies performed by large international consortia has provided novel insights into the cellular aberrations that contribute to cancer development. There is evidence that genetic mutations in epigenetic regulators (such as DNMT3, IDH1/2 or H3.3) mediate or contribute to these patterns, although a unifying molecular mechanism underlying the global alterations of DNA methylation has largely been elusive. Knowledge gained from pan-cancer methylome analyses will aid the development of diagnostic and prognostic biomarkers, improve patient stratification and the discovery of novel druggable targets for therapy, and will generate hypotheses for innovative clinical trial designs based on methylation subgroups rather than on cancer subtypes. In this review, we discuss recent advances in the global profiling of tumor genomes for aberrant DNA methylation and the integration of these data with cancer genome profiling data, highlight potential mechanisms leading to different methylation subgroups, and show how this information can be used in basic research and for translational applications. A remaining challenge is to experimentally prove the functional link between observed pan-cancer methylation patterns, the associated genetic aberrations, and their relevance for the development of cancer. BioMed Central 2014-08-30 /pmc/articles/PMC4254427/ /pubmed/25473433 http://dx.doi.org/10.1186/s13073-014-0066-6 Text en © Witte et al.; licensee BioMed Central 2014 The licensee has exclusive rights to distribute this article, in any medium, for 12 months following its publication. After this time, the article is available under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 | Review Witte, Tania Plass, Christoph Gerhauser, Clarissa Pan-cancer patterns of DNA methylation |
title | Pan-cancer patterns of DNA methylation |
title_full | Pan-cancer patterns of DNA methylation |
title_fullStr | Pan-cancer patterns of DNA methylation |
title_full_unstemmed | Pan-cancer patterns of DNA methylation |
title_short | Pan-cancer patterns of DNA methylation |
title_sort | pan-cancer patterns of dna methylation |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254427/ https://www.ncbi.nlm.nih.gov/pubmed/25473433 http://dx.doi.org/10.1186/s13073-014-0066-6 |
work_keys_str_mv | AT wittetania pancancerpatternsofdnamethylation AT plasschristoph pancancerpatternsofdnamethylation AT gerhauserclarissa pancancerpatternsofdnamethylation |