Dataset Information

Association of ERCC1 rs3212986 & ERCC2 rs13181 polymorphisms with the risk of glioma.

ABSTRACT: OBJECTIVE:: Several previous studies have reported the role variant of ERCC1 rs3212986 and ERCC2 rs13181 polymorphisms in the risk of glioma, but the results of these studies are inconsistent. Therefore, we aimed to conduct a meta-analysis to investigate the role of ERCC1 rs3212986 and ERCC2 rs13181 on the risk of glioma. METHODS:A comprehensive research was conducted through the databases of Pubmed, EMBASE and the China National Knowledge Infrastructure (CNKI) platforms until June 1, 2014, including 14 eligible case-control studies. RESULTS:Our meta-analysis found that ERCC1 rs3212986 AA genotype was significantly associated with increased risk of glioma compared with CC genotype, and the pooled OR (95%CI) was 1.29(1.07-1.55). By subgroup analysis, ERCC1 rs3212986 AA genotype was found to be significantly correlated with increased glioma risk in Chinese population (OR=1.37, 95%CI=1.07, 1.55), Similarly, we found that ERCC2 rs13181 GT and TT genotypes were significantly associated with increased risk of glioma in Chinese population, with ORs(95%CI) of 1.47(1.17-1.85) and 1.50(1.02-2.22). But ERCC1 rs3212986 and ERCC2 rs13181 polymorphisms had no significant association with glioma risk in Caucasian populations. By begg's funnel plot, we found that no publication bias was existed in this meta-analysis. CONCLUSION:Our meta-analysis suggested that ERCC1 rs3212986 and ERCC2 rs13181 polymorphism play an important risk factor for brain tumor development in Chinese population, but no association in Caucasian populations.

SUBMITTER: Cui QK

PROVIDER: S-EPMC4320740 | biostudies-literature | 2014 Nov-Dec

REPOSITORIES: biostudies-literature

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Association of ERCC1 rs3212986 & ERCC2 rs13181 polymorphisms with the risk of glioma.

Cui Qing-Ke QK Zhu Jian-Xin JX Liu Wei-Dong WD Wang Yun-Hua YH Wang Zhi-Gang ZG

Pakistan journal of medical sciences 20141101 6

<h4>Objective</h4>: Several previous studies have reported the role variant of ERCC1 rs3212986 and ERCC2 rs13181 polymorphisms in the risk of glioma, but the results of these studies are inconsistent. Therefore, we aimed to conduct a meta-analysis to investigate the role of ERCC1 rs3212986 and ERCC2 rs13181 on the risk of glioma.<h4>Methods</h4>A comprehensive research was conducted through the databases of Pubmed, EMBASE and the China National Knowledge Infrastructure (CNKI) platforms until Jun ...[more]

PMID: 25674148

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Project description:Glioma is the most common type of primary brain tumour which accounts for about 30% of all brain and central nervous system tumours, and approximately 70% of adult malignant brain tumours. Numerous studies have been performed to assess the relationship between ERCC2 rs13181 polymorphism and the risk of glioma development, yet these findings of these studies are often inconsistent and contradictory. Therefore, the aim of this study is to conduct a systematic review and meta-analysis to assess the role of ERCC2 rs13181 in glioma developing. In this work, we have conducted a systematic review and meta-analysis. In order to collect the results of relevant studies on the association of ERCC2 rs13181 gene polymorphism with glioma, we initially searched the Scopus, Embase, Web of Science (WoS), PubMed, and ScienceDirect databases, without a lower time limit, and until June 2020. In order to analyse the eligible studies, the random effects model was used and the heterogeneity of the studies was investigated with the I 2 index. Data analysis was performed within the Comprehensive Meta-Analysis software (version 2). The total number of studies that focused on patients with glioma was 10. The odds ratio of GG vs TT genotype in patients with glioma based on meta-analysis was 1.08 (0.85-1.37: 95% confidence interval), which indicates the increasing effect of GG vs TT genotype by 0.08. The odds ratio of GG + TG vs TT genotype in patients with glioma was 1.22 (1.38-1.7: 95% confidence interval) based on meta-analysis, which indicates the increasing effect of GG + TG vs TT genotype as 0.22. The odds ratio of TG vs TT genotype in patients with glioma was 1.2 (0.38-1.4: 95% confidence interval), which shows the increasing effect of TG vs TT genotype by 0.2. The odds ratio of G vs T genotype in patients with glioma based on the meta-analysis was 1.15 (1.26-1.4: 95% confidence interval), which indicates the increasing effect of G vs T genotype by 0.15. The odds ratio of GG vs TG + TT genotype in patients with glioma based on meta-analysis was 1.22 (1.33-1.45: 95% confidence interval), which indicates the increasing effect of GG vs TG + TT genotype by 0.22. The results of this systematic review and meta-analysis show that ERCC2 rs13181 polymorphism and its genotypes are an important risk factor for genetic susceptibility to glioma tumour.

Project description:ObjectivesTo comprehensively evaluate the association of ERCC1 C8092A and ERCC2 Lys751Gln polymorphisms with the risk of glioma.MethodsPotential studies were searched and selected through the Pubmed/MEDLINE, EMBASE, the China National Knowledge Infrastructure (CNKI) platforms, WanFang and VIP database up to June 2013. Two investigators independently reviewed full text and included studies met inclusion criteria. Combined odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated in a fixed-effects model or a random-effects model according to results of heterogeneity test. All analyses were performed by Revman 5.2 and Stata 10.0 software.ResultsA total of 10 studies were included in our meta-analysis, including 3,580 glioma patients and 4,728 controls. Overall, ERCC1 C8092A polymorphism was associated with the risk of glioma (AA vs. CC: OR = 1.29, 95%CI: 1.07-1.55, P = 0.01; recessive model: OR = 1.29; 95% CI: 1.07-1.55, P = 0.01). When stratified by ethnicity, significant association was only observed in the Chinese population (AA vs. CC: OR = 1.37, 95%CI: 1.03-1.81, P = 0.03; recessive model: OR = 1.34; 95% CI: 1.02-1.75, P = 0.04). For ERCC2 Lys751Gln polymorphism, no significant association was found between ERCC2 Lys751Gln polymorphism and the risk of glioma in different genetic models. A significant association of ERCC2 Lys751Gln polymorphism with the risk of glioma was identified in the Caucasian population under recessive model (OR = 0.87; 95% CI: 0.78-0.98, P = 0.02), but not in the Chinese population.ConclusionThis meta-analysis suggested that the AA genotype of ERCC1 C8092A polymorphism might increase the susceptibility of glioma in the Chinese population. And the TT genotype of ERCC2 Lys751Gln polymorphism may decrease the risk of glioma in the Caucasian population. But the small number of studies and moderate methodological quality require cautious interpretation of the study results.

Dataset Information

Association of ERCC1 rs3212986 & ERCC2 rs13181 polymorphisms with the risk of glioma.

Publications

Association of ERCC1 rs3212986 & ERCC2 rs13181 polymorphisms with the risk of glioma.

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