CpG island methylator phenotype, Helicobacter pylori, Epstein-Barr virus, and microsatellite instability and prognosis in gastric cancer: a systematic review and meta-analysis.

BACKGROUND: The controversy of CpG island methylator phenotype (CIMP) in gastric cancer persists, despite the fact that many studies have been conducted on its relation with helicobacter pylori (H. pylori), Epstein-Barr virus (EBV), and microsatellite instability (MSI) and prognosis. To drive a more...

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Main Authors: Liang Zong, Yasuyuki Seto
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3903497?pdf=render
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author Liang Zong
Yasuyuki Seto
author_facet Liang Zong
Yasuyuki Seto
author_sort Liang Zong
collection DOAJ
description BACKGROUND: The controversy of CpG island methylator phenotype (CIMP) in gastric cancer persists, despite the fact that many studies have been conducted on its relation with helicobacter pylori (H. pylori), Epstein-Barr virus (EBV), and microsatellite instability (MSI) and prognosis. To drive a more precise estimate of this postulated relationship, a meta-analysis was performed based on existing relevant studies. METHODS: We combined individual patient data from 12 studies which involved 1000 patients with gastric cancer, which met the criteria. We tabulated and analyzed parameters from each study, including H. pylori, EBV, MSI, and clinical information of patients. RESULTS: The overall OR for H. pylori infection in CIMP positive group vs. negative group revealed that significantly elevated risks of positive H. pylori infection in the former were achieved (OR 2.23 95% CI, 1.25-4.00; P = 0.007, Pheterogeneity = 0.05). Similarly, strong relation between EBV infection and CIMP was achieved by OR 51.27 (95% CI, 9.39-279.86; P<0.00001, Pheterogeneity = 0.39). The overall OR for MSI in CIMP positive group vs. negative group was 4.44 (95% CI, 1.17-16.88; P = 0.03, Pheterogeneity = 0.01). However, there did not appear to be any correlations with clinical parameters such as tumor site, pathological type, cell differentiation, TNM stage, distant metastasis, lymph node metastasis, and 5-year survival. CONCLUSIONS: The meta-analysis highlights the strong relation of CIMP with H. pylori, EBV, and MSI, but CIMP can not be used as a prognostic marker for gastric cancer.
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spelling doaj.art-984b8a2c649041b9afd13d44553772182022-12-22T03:07:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0191e8609710.1371/journal.pone.0086097CpG island methylator phenotype, Helicobacter pylori, Epstein-Barr virus, and microsatellite instability and prognosis in gastric cancer: a systematic review and meta-analysis.Liang ZongYasuyuki SetoBACKGROUND: The controversy of CpG island methylator phenotype (CIMP) in gastric cancer persists, despite the fact that many studies have been conducted on its relation with helicobacter pylori (H. pylori), Epstein-Barr virus (EBV), and microsatellite instability (MSI) and prognosis. To drive a more precise estimate of this postulated relationship, a meta-analysis was performed based on existing relevant studies. METHODS: We combined individual patient data from 12 studies which involved 1000 patients with gastric cancer, which met the criteria. We tabulated and analyzed parameters from each study, including H. pylori, EBV, MSI, and clinical information of patients. RESULTS: The overall OR for H. pylori infection in CIMP positive group vs. negative group revealed that significantly elevated risks of positive H. pylori infection in the former were achieved (OR 2.23 95% CI, 1.25-4.00; P = 0.007, Pheterogeneity = 0.05). Similarly, strong relation between EBV infection and CIMP was achieved by OR 51.27 (95% CI, 9.39-279.86; P<0.00001, Pheterogeneity = 0.39). The overall OR for MSI in CIMP positive group vs. negative group was 4.44 (95% CI, 1.17-16.88; P = 0.03, Pheterogeneity = 0.01). However, there did not appear to be any correlations with clinical parameters such as tumor site, pathological type, cell differentiation, TNM stage, distant metastasis, lymph node metastasis, and 5-year survival. CONCLUSIONS: The meta-analysis highlights the strong relation of CIMP with H. pylori, EBV, and MSI, but CIMP can not be used as a prognostic marker for gastric cancer.http://europepmc.org/articles/PMC3903497?pdf=render
spellingShingle Liang Zong
Yasuyuki Seto
CpG island methylator phenotype, Helicobacter pylori, Epstein-Barr virus, and microsatellite instability and prognosis in gastric cancer: a systematic review and meta-analysis.
PLoS ONE
title CpG island methylator phenotype, Helicobacter pylori, Epstein-Barr virus, and microsatellite instability and prognosis in gastric cancer: a systematic review and meta-analysis.
title_full CpG island methylator phenotype, Helicobacter pylori, Epstein-Barr virus, and microsatellite instability and prognosis in gastric cancer: a systematic review and meta-analysis.
title_fullStr CpG island methylator phenotype, Helicobacter pylori, Epstein-Barr virus, and microsatellite instability and prognosis in gastric cancer: a systematic review and meta-analysis.
title_full_unstemmed CpG island methylator phenotype, Helicobacter pylori, Epstein-Barr virus, and microsatellite instability and prognosis in gastric cancer: a systematic review and meta-analysis.
title_short CpG island methylator phenotype, Helicobacter pylori, Epstein-Barr virus, and microsatellite instability and prognosis in gastric cancer: a systematic review and meta-analysis.
title_sort cpg island methylator phenotype helicobacter pylori epstein barr virus and microsatellite instability and prognosis in gastric cancer a systematic review and meta analysis
url http://europepmc.org/articles/PMC3903497?pdf=render
work_keys_str_mv AT liangzong cpgislandmethylatorphenotypehelicobacterpyloriepsteinbarrvirusandmicrosatelliteinstabilityandprognosisingastriccancerasystematicreviewandmetaanalysis
AT yasuyukiseto cpgislandmethylatorphenotypehelicobacterpyloriepsteinbarrvirusandmicrosatelliteinstabilityandprognosisingastriccancerasystematicreviewandmetaanalysis