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Epigenomic Profiling of DNA Methylation in Paired Prostate Cancer Versus Adjacent Benign Tissue

Overview
Journal Prostate
Date 2015 Sep 19
PMID 26383847
Citations 37
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Abstract

Background: Aberrant DNA methylation may promote prostate carcinogenesis. We investigated epigenome-wide DNA methylation profiles in prostate cancer (PCa) compared to adjacent benign tissue to identify differentially methylated CpG sites.

Methods: The study included paired PCa and adjacent benign tissue samples from 20 radical prostatectomy patients. Epigenetic profiling was done using the Infinium HumanMethylation450 BeadChip. Linear models that accounted for the paired study design and False Discovery Rate Q-values were used to evaluate differential CpG methylation. mRNA expression levels of the genes with the most differentially methylated CpG sites were analyzed.

Results: In total, 2,040 differentially methylated CpG sites were identified in PCa versus adjacent benign tissue (Q-value < 0.001), the majority of which were hypermethylated (n = 1,946; 95%). DNA methylation profiles accurately distinguished between PCa and benign tissue samples. Twenty-seven top-ranked hypermethylated CpGs had a mean methylation difference of at least 40% between tissue types, which included 25 CpGs in 17 genes. Furthermore, for 10 genes over 50% of promoter region CpGs were hypermethylated in PCa versus benign tissue. The top-ranked differentially methylated genes included three genes that were associated with both promoter hypermethylation and reduced gene expression: SCGB3A1, HIF3A, and AOX1. Analysis of The Cancer Genome Atlas (TCGA) data provided confirmatory evidence for our findings.

Conclusions: This study of PCa versus adjacent benign tissue showed many differentially methylated CpGs and regions in and outside gene promoter regions, which may potentially be used for the development of future epigenetic-based diagnostic tests or as therapeutic targets.

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References
1.
McKee T, Tricoli J . Epigenetics of prostate cancer. Methods Mol Biol. 2014; 1238:217-34. DOI: 10.1007/978-1-4939-1804-1_11. View

2.
Devaney J, Wang S, Funda S, Long J, Taghipour D, Tbaishat R . Identification of novel DNA-methylated genes that correlate with human prostate cancer and high-grade prostatic intraepithelial neoplasia. Prostate Cancer Prostatic Dis. 2013; 16(4):292-300. DOI: 10.1038/pcan.2013.21. View

3.
Gao T, He B, Pan Y, Li R, Xu Y, Chen L . The association of retinoic acid receptor beta2(RARβ2) methylation status and prostate cancer risk: a systematic review and meta-analysis. PLoS One. 2013; 8(5):e62950. PMC: 3652867. DOI: 10.1371/journal.pone.0062950. View

4.
Jeronimo C, Bastian P, Bjartell A, Carbone G, Catto J, Clark S . Epigenetics in prostate cancer: biologic and clinical relevance. Eur Urol. 2011; 60(4):753-66. DOI: 10.1016/j.eururo.2011.06.035. View

5.
Butcher L, Beck S . Probe Lasso: a novel method to rope in differentially methylated regions with 450K DNA methylation data. Methods. 2014; 72:21-8. PMC: 4304833. DOI: 10.1016/j.ymeth.2014.10.036. View