Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Xiao, Zhang, Jianying, Dai, Xiaofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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
_version_ 1783467351367221248
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
work_keys_str_mv AT chenxiao dnamethylationprofilescapturingbreastcancerheterogeneity
AT zhangjianying dnamethylationprofilescapturingbreastcancerheterogeneity
AT daixiaofeng dnamethylationprofilescapturingbreastcancerheterogeneity