Meta-analysis of DNA methylation biomarkers in hepatocellular carcinoma

// Cheng Zhang 1 , Jinyun Li 2 , Tao Huang 2 , Shiwei Duan 2 , Dongjun Dai 2 , Danjie Jiang 2 , Xinbing Sui 3 , Da Li 3 , Yidan Chen 1 , Fei Ding 1 , Changxin Huang 1 , Gongying Chen 1 , Kaifeng Wang 1 1 Department of Medical Oncology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China 2 Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang, China 3 Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang, China Correspondence to: Kaifeng Wang, email: wangkf2000@163.com Gongying Chen, email: chengongying@hotmail.com Keywords: meta-analysis, DNA methylation, biomarker, hepatocellular carcinoma Received: May 03, 2016      Accepted: November 01, 2016      Published: November 08, 2016 ABSTRACT DNA methylation is an epigenetic mechanism in the pathogenesis of hepatocellular carcinoma (HCC). Here, we conducted a systematic meta-analysis to evaluate the contribution of DNA methylation to the risk of HCC. A total of 2109 publications were initially retrieved from PubMed, Web of Science, Cochrane Library, Embase, CNKI and Wanfang literature database. After a four-step filtration, we harvested 144 case-control articles in the meta-analysis. Our results revealed that 24 genes (carcinoma tissues vs adjacent tissues), 17 genes (carcinoma tissues vs normal tissues) and six genes (carcinoma serums vs normal serums) were significantly hypermethylated in HCC. Subgroup meta-analysis by geographical populations showed that six genes (carcinoma tissues vs adjacent tissues) and four genes (carcinoma tissues vs normal tissues) were significantly hypermethylated in HCC. Our meta-analysis identified the correlations between a number of aberrant methylated genes ( p16 , RASSF1A , GSTP1 , p14 , CDH1 , APC , RUNX3 , SOCS1 , p15 , MGMT , SFRP1 , WIF1 , PRDM2 , DAPK1 , RARβ , hMLH1 , p73 , DLC1 , p53 , SPINT2 , OPCML and WT1 ) and HCC. Aberrant DNA methylation might become useful biomarkers for the prediction and diagnosis of HCC.