DNA methylation profiles capturing breast cancer heterogeneity
Abstract 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 captur...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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BMC
2019-11-01
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| Series: | BMC Genomics |
| Online Access: | http://link.springer.com/article/10.1186/s12864-019-6142-y |
| _version_ | 1829481353475784704 |
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| author | Xiao Chen Jianying Zhang Xiaofeng Dai |
| author_facet | Xiao Chen Jianying Zhang Xiaofeng Dai |
| author_sort | Xiao Chen |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-14T21:26:54Z |
| format | Article |
| id | doaj.art-235096b055594028ae15c9f3cc2bb053 |
| institution | Directory Open Access Journal |
| issn | 1471-2164 |
| language | English |
| last_indexed | 2024-12-14T21:26:54Z |
| publishDate | 2019-11-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Genomics |
| spelling | doaj.art-235096b055594028ae15c9f3cc2bb0532022-12-21T22:46:47ZengBMCBMC Genomics1471-21642019-11-0120111210.1186/s12864-019-6142-yDNA methylation profiles capturing breast cancer heterogeneityXiao Chen0Jianying Zhang1Xiaofeng Dai2School of Biotechnology, Jiangnan UniversityHenan Academy of Medical and Pharmaceutical Sciences, Zhengzhou UniversityWuxi School of Medicine, Jiangnan UniversityAbstract 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.http://link.springer.com/article/10.1186/s12864-019-6142-y |
| spellingShingle | Xiao Chen Jianying Zhang Xiaofeng Dai DNA methylation profiles capturing breast cancer heterogeneity BMC Genomics |
| 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 |
| url | http://link.springer.com/article/10.1186/s12864-019-6142-y |
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