Hierarchical clustering of breast cancer methylomes revealed differentially methylated and expressed breast cancer genes

I. Hsuan Lin, Dow Tien Chen, Yi Feng Chang, Yu Ling Lee, Chia Hsin Su, Ching Cheng, Yi Chien Tsai, Swee Chuan Ng, Hsiao Tan Chen, Mei Chen Lee, Hong Wei Chen, Shih Hui Suen, Yu Cheng Chen, Tze Tze Liu, Chuan Hsiung Chang, Ming Ta Hsu

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Oncogenic transformation of normal cells often involves epigenetic alterations, including histone modification and DNA methylation. We conducted whole-genome bisulfite sequencing to determine the DNA methylomes of normal breast, fibroadenoma, invasive ductal carcinomas and MCF7. The emergence, disappearance, expansion and contraction of kilobase-sized hypomethylated regions (HMRs) and the hypomethylation of the megabase-sized partially methylated domains (PMDs) are the major forms of methylation changes observed in breast tumor samples. Hierarchical clustering of HMR revealed tumor-specific hypermethylated clusters and differential methylated enhancers specific to normal or breast cancer cell lines. Joint analysis of gene expression and DNA methylation data of normal breast and breast cancer cells identified differentially methylated and expressed genes associated with breast and/or ovarian cancers in cancer-specific HMR clusters. Furthermore, aberrant patterns of X-chromosome inactivation (XCI) was found in breast cancer cell lines as well as breast tumor samples in the TCGA BRCA (breast invasive carcinoma) dataset. They were characterized with differentially hypermethylated XIST promoter, reduced expression of XIST, and over-expression of hypomethylated X-linked genes. High expressions of these genes were significantly associated with lower survival rates in breast cancer patients. Comprehensive analysis of the normal and breast tumor methylomes suggests selective targeting of DNA methylation changes during breast cancer progression. The weak causal relationship between DNA methylation and gene expression observed in this study is evident of more complex role of DNA methylation in the regulation of gene expression in human epigenetics that deserves further investigation.

Original languageEnglish
Article numbere0118453
JournalPLoS One
Volume10
Issue number2
DOIs
Publication statusPublished - Feb 23 2015
Externally publishedYes

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Neoplasm Genes
breast neoplasms
Cluster Analysis
Genes
Breast Neoplasms
Tumors
DNA methylation
Cells
Gene expression
DNA Methylation
breasts
genes
epigenetics
Methylation
gene expression
carcinoma
Chromosomes
Gene Expression
Epigenomics
Histones

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Hierarchical clustering of breast cancer methylomes revealed differentially methylated and expressed breast cancer genes. / Lin, I. Hsuan; Chen, Dow Tien; Chang, Yi Feng; Lee, Yu Ling; Su, Chia Hsin; Cheng, Ching; Tsai, Yi Chien; Ng, Swee Chuan; Chen, Hsiao Tan; Lee, Mei Chen; Chen, Hong Wei; Suen, Shih Hui; Chen, Yu Cheng; Liu, Tze Tze; Chang, Chuan Hsiung; Hsu, Ming Ta.

In: PLoS One, Vol. 10, No. 2, e0118453, 23.02.2015.

Research output: Contribution to journalArticle

Lin, IH, Chen, DT, Chang, YF, Lee, YL, Su, CH, Cheng, C, Tsai, YC, Ng, SC, Chen, HT, Lee, MC, Chen, HW, Suen, SH, Chen, YC, Liu, TT, Chang, CH & Hsu, MT 2015, 'Hierarchical clustering of breast cancer methylomes revealed differentially methylated and expressed breast cancer genes', PLoS One, vol. 10, no. 2, e0118453. https://doi.org/10.1371/journal.pone.0118453
Lin, I. Hsuan ; Chen, Dow Tien ; Chang, Yi Feng ; Lee, Yu Ling ; Su, Chia Hsin ; Cheng, Ching ; Tsai, Yi Chien ; Ng, Swee Chuan ; Chen, Hsiao Tan ; Lee, Mei Chen ; Chen, Hong Wei ; Suen, Shih Hui ; Chen, Yu Cheng ; Liu, Tze Tze ; Chang, Chuan Hsiung ; Hsu, Ming Ta. / Hierarchical clustering of breast cancer methylomes revealed differentially methylated and expressed breast cancer genes. In: PLoS One. 2015 ; Vol. 10, No. 2.
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