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DNA methylation profiles capturing breast cancer heterogeneity
BACKGROUND: As one of the most described epigenetic marks in human cancers, DNA methylation plays essential roles in gene expression regulation and has been implicated in the prognosis and therapeutics of many cancers. We are motivated in this study to explore DNA methylation profiles capturing brea...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839140/ https://www.ncbi.nlm.nih.gov/pubmed/31699026 http://dx.doi.org/10.1186/s12864-019-6142-y |
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author | Chen, Xiao Zhang, Jianying Dai, Xiaofeng |
author_facet | Chen, Xiao Zhang, Jianying Dai, Xiaofeng |
author_sort | Chen, Xiao |
collection | PubMed |
description | BACKGROUND: As one of the most described epigenetic marks in human cancers, DNA methylation plays essential roles in gene expression regulation and has been implicated in the prognosis and therapeutics of many cancers. We are motivated in this study to explore DNA methylation profiles capturing breast cancer heterogeneity to improve breast cancer prognosis at the epigenetic level. RESULTS: Through comparisons on differentially methylated CpG sites among breast cancer subtypes followed by a sequential validation and functional studies using computational approaches, we propose 313 CpG, corresponding to 191 genes, whose methylation pattern identifies the triple negative breast cancer subtype, and report cell migration as represented by extracellular matrix organization and cell proliferation as mediated via MAPK and Wnt signalings are the primary factors driving breast cancer subtyping. CONCLUSIONS: Our study offers novel CpGs and gene methylation patterns with translational potential on triple negative breast cancer prognosis, as well as fresh insights from the epigenetic level on breast cancer heterogeneity. |
format | Online Article Text |
id | pubmed-6839140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68391402019-11-12 DNA methylation profiles capturing breast cancer heterogeneity Chen, Xiao Zhang, Jianying Dai, Xiaofeng BMC Genomics Research Article BACKGROUND: As one of the most described epigenetic marks in human cancers, DNA methylation plays essential roles in gene expression regulation and has been implicated in the prognosis and therapeutics of many cancers. We are motivated in this study to explore DNA methylation profiles capturing breast cancer heterogeneity to improve breast cancer prognosis at the epigenetic level. RESULTS: Through comparisons on differentially methylated CpG sites among breast cancer subtypes followed by a sequential validation and functional studies using computational approaches, we propose 313 CpG, corresponding to 191 genes, whose methylation pattern identifies the triple negative breast cancer subtype, and report cell migration as represented by extracellular matrix organization and cell proliferation as mediated via MAPK and Wnt signalings are the primary factors driving breast cancer subtyping. CONCLUSIONS: Our study offers novel CpGs and gene methylation patterns with translational potential on triple negative breast cancer prognosis, as well as fresh insights from the epigenetic level on breast cancer heterogeneity. BioMed Central 2019-11-07 /pmc/articles/PMC6839140/ /pubmed/31699026 http://dx.doi.org/10.1186/s12864-019-6142-y Text en © The Author(s). 2019 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 Article Chen, Xiao Zhang, Jianying Dai, Xiaofeng DNA methylation profiles capturing breast cancer heterogeneity |
title | DNA methylation profiles capturing breast cancer heterogeneity |
title_full | DNA methylation profiles capturing breast cancer heterogeneity |
title_fullStr | DNA methylation profiles capturing breast cancer heterogeneity |
title_full_unstemmed | DNA methylation profiles capturing breast cancer heterogeneity |
title_short | DNA methylation profiles capturing breast cancer heterogeneity |
title_sort | dna methylation profiles capturing breast cancer heterogeneity |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839140/ https://www.ncbi.nlm.nih.gov/pubmed/31699026 http://dx.doi.org/10.1186/s12864-019-6142-y |
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