Literature DB >> 20811671

High-throughput DNA hypermethylation profiling in different ovarian epithelial cancer subtypes using universal bead array.

Man Soo Yoon1, Dong Soo Suh, Kyung Un Choi, Mee Young Sol, Dong Hoon Shin, Won Young Park, Jung Hee Lee, Seong Muk Jeong, Woo Gyeong Kim, Na Ri Shin.   

Abstract

DNA hypermethylation is common and plays a critical role in the regulation of gene expression. It is considered a major cause of carcinogenesis. High-throughput profiling method has been developed to analyze the methylation status of hundreds of pre-selected genes simultaneously. The aim of this study was to analyze promoter hypermethylation profiles of each subtype of ovarian epithelial cancer (OEC), to improve the understanding of the role of epigenetic silencing in carcinogenesis. DNA hypermethylation profiles on fresh frozen tissue samples of 5 serous, 3 mucinous, 5 endometrioid and 4 clear cell types of OEC, as well as 5 normal ovarian tissue samples as control. We used a high-throughput method for analyzing the hypermethylation status of 1,505 CpG loci selected from 871 genes simultaneously by GoldenGate Methylation Cancer Panel I (Illumina Human-6 v2 Expression BeadChip). Methylation status of seven genes was verified by methylation specific PCR (MSP). We identified 20, 37, 15 and 56 hypermethylated CpG locations in serous, mucinous, endometrioid and clear cell type OEC compared to control. Only 6 CpG loci were commonly hypermethylated across all subtypes of OEC. Hypermethylated loci of serous 17 (81.0%) and endometrioid type 10 (71.4%) were identical to that of clear cell type. However, mucinous type showed 17 peculiar loci (43.6%) out of 39 hypermethylated loci. The unique DNA hypermethylation patterns identified in different OEC subtypes suggest that their cause may involve different epigenetic mechanisms and the Bead chip used in this study is a useful tool to analyze DNA hypermethylation.

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Year:  2010        PMID: 20811671     DOI: 10.3892/or.2010.917

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  6 in total

1.  Epigenetic determinants of ovarian clear cell carcinoma biology.

Authors:  Ken Yamaguchi; Zhiqing Huang; Noriomi Matsumura; Masaki Mandai; Takako Okamoto; Tsukasa Baba; Ikuo Konishi; Andrew Berchuck; Susan K Murphy
Journal:  Int J Cancer       Date:  2014-01-14       Impact factor: 7.396

Review 2.  Epigenetics in ovarian cancer.

Authors:  Yanina Natanzon; Ellen L Goode; Julie M Cunningham
Journal:  Semin Cancer Biol       Date:  2017-08-03       Impact factor: 15.707

Review 3.  DNA methylation changes in epithelial ovarian cancer histotypes.

Authors:  Madalene A Earp; Julie M Cunningham
Journal:  Genomics       Date:  2015-09-10       Impact factor: 5.736

4.  Promoter methylation status of HIN-1 associated with outcomes of ovarian clear cell adenocarcinoma.

Authors:  Chih-Ming Ho; Chi-Jung Huang; Chia-Yen Huang; Yih-Yiing Wu; Shwu-Fen Chang; Wen-Fang Cheng
Journal:  Mol Cancer       Date:  2012-08-08       Impact factor: 27.401

5.  TGFBI promoter hypermethylation correlating with paclitaxel chemoresistance in ovarian cancer.

Authors:  Ning Wang; Hui Zhang; Qin Yao; Yankui Wang; Shuzhen Dai; Xingsheng Yang
Journal:  J Exp Clin Cancer Res       Date:  2012-01-16

6.  Distinct DNA Methylation Profiles in Ovarian Tumors: Opportunities for Novel Biomarkers.

Authors:  Lorena Losi; Sergio Fonda; Sara Saponaro; Sonia T Chelbi; Cesare Lancellotti; Gaia Gozzi; Loredana Alberti; Luca Fabbiani; Laura Botticelli; Jean Benhattar
Journal:  Int J Mol Sci       Date:  2018-05-24       Impact factor: 5.923

  6 in total

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