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Meta-analysis of DNA methylation biomarkers in hepatocellular carcinoma
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, Cochr...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348390/ https://www.ncbi.nlm.nih.gov/pubmed/27835605 http://dx.doi.org/10.18632/oncotarget.13221 |
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author | Zhang, Cheng Li, Jinyun Huang, Tao Duan, Shiwei Dai, Dongjun Jiang, Danjie Sui, Xinbing Li, Da Chen, Yidan Ding, Fei Huang, Changxin Chen, Gongying Wang, Kaifeng |
author_facet | Zhang, Cheng Li, Jinyun Huang, Tao Duan, Shiwei Dai, Dongjun Jiang, Danjie Sui, Xinbing Li, Da Chen, Yidan Ding, Fei Huang, Changxin Chen, Gongying Wang, Kaifeng |
author_sort | Zhang, Cheng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5348390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53483902017-03-31 Meta-analysis of DNA methylation biomarkers in hepatocellular carcinoma Zhang, Cheng Li, Jinyun Huang, Tao Duan, Shiwei Dai, Dongjun Jiang, Danjie Sui, Xinbing Li, Da Chen, Yidan Ding, Fei Huang, Changxin Chen, Gongying Wang, Kaifeng Oncotarget Research Paper 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. Impact Journals LLC 2016-11-08 /pmc/articles/PMC5348390/ /pubmed/27835605 http://dx.doi.org/10.18632/oncotarget.13221 Text en Copyright: © 2016 Zhang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Zhang, Cheng Li, Jinyun Huang, Tao Duan, Shiwei Dai, Dongjun Jiang, Danjie Sui, Xinbing Li, Da Chen, Yidan Ding, Fei Huang, Changxin Chen, Gongying Wang, Kaifeng Meta-analysis of DNA methylation biomarkers in hepatocellular carcinoma |
title | Meta-analysis of DNA methylation biomarkers in hepatocellular carcinoma |
title_full | Meta-analysis of DNA methylation biomarkers in hepatocellular carcinoma |
title_fullStr | Meta-analysis of DNA methylation biomarkers in hepatocellular carcinoma |
title_full_unstemmed | Meta-analysis of DNA methylation biomarkers in hepatocellular carcinoma |
title_short | Meta-analysis of DNA methylation biomarkers in hepatocellular carcinoma |
title_sort | meta-analysis of dna methylation biomarkers in hepatocellular carcinoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348390/ https://www.ncbi.nlm.nih.gov/pubmed/27835605 http://dx.doi.org/10.18632/oncotarget.13221 |
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