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Association between common polymorphisms in ERCC gene and glioma risk: A meta-analysis of 15 studies

BACKGROUND: A number of studies have investigated the roles of excision repair cross complementation group 1 (ERCC1), ERCC2, and ERCC5 genes polymorphisms in the development of glioma; however, the results were inconsistent. Here, we performed a meta-analysis to investigate the association between 6...

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Autores principales: Qian, Tengda, Zhang, Bin, Qian, Chunsheng, He, Yunwen, Li, Yihuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440135/
https://www.ncbi.nlm.nih.gov/pubmed/28514298
http://dx.doi.org/10.1097/MD.0000000000006832
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author Qian, Tengda
Zhang, Bin
Qian, Chunsheng
He, Yunwen
Li, Yihuan
author_facet Qian, Tengda
Zhang, Bin
Qian, Chunsheng
He, Yunwen
Li, Yihuan
author_sort Qian, Tengda
collection PubMed
description BACKGROUND: A number of studies have investigated the roles of excision repair cross complementation group 1 (ERCC1), ERCC2, and ERCC5 genes polymorphisms in the development of glioma; however, the results were inconsistent. Here, we performed a meta-analysis to investigate the association between 6 polymorphisms in the ERCC genes (rs3212986, rs11615, rs13181, rs1799793, rs238406, rs17655) and glioma risk. METHODS: The PubMed, Embase, and Web of science were searched up to September 6, 2016, for studies on the association between ERCC polymorphisms and glioma risk. A fixed-effects or random-effects model was used to calculate the pooled odds ratios based on the results from the heterogeneity tests. Sensitivity and cumulative meta-analyses were also performed. RESULTS: A total of 15 studies were eligible for the pooled analysis, conducted in 2 populations of ethnic descent: 8 Europeans and 7 Asians. The results showed that ERCC1 rs3212986 polymorphism was positively associated with glioma [AA vs CC: odds ratio (OR) = 1.298, 95% confidence interval (95% CI) = 1.043–1.230, P = .025]. Association of the ERCC2 rs13181 and rs1799793 polymorphisms was only observed in Asians (CC vs AA for rs13181: OR = 1.539, 95% CI = 1.122–2.109, P = .007; AA vs GG for rs1799793: OR = 1.474, 95% CI = 1.090–1.994, P = .012). However, no association was observed between glioma risk and ERCC1 rs11615, ERCC2 rs238406, and ERCC5 rs17655 polymorphisms. Moreover, sensitivity and cumulative meta-analyses confirmed the stability of the results. CONCLUSIONS: Our meta-analysis indicated that the ERCC1 rs3212986 polymorphism and 2 polymorphisms in ERCC2 gene (rs13181 and rs1799793) contributed to the susceptibility of glioma.
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spelling pubmed-54401352017-05-25 Association between common polymorphisms in ERCC gene and glioma risk: A meta-analysis of 15 studies Qian, Tengda Zhang, Bin Qian, Chunsheng He, Yunwen Li, Yihuan Medicine (Baltimore) 3500 BACKGROUND: A number of studies have investigated the roles of excision repair cross complementation group 1 (ERCC1), ERCC2, and ERCC5 genes polymorphisms in the development of glioma; however, the results were inconsistent. Here, we performed a meta-analysis to investigate the association between 6 polymorphisms in the ERCC genes (rs3212986, rs11615, rs13181, rs1799793, rs238406, rs17655) and glioma risk. METHODS: The PubMed, Embase, and Web of science were searched up to September 6, 2016, for studies on the association between ERCC polymorphisms and glioma risk. A fixed-effects or random-effects model was used to calculate the pooled odds ratios based on the results from the heterogeneity tests. Sensitivity and cumulative meta-analyses were also performed. RESULTS: A total of 15 studies were eligible for the pooled analysis, conducted in 2 populations of ethnic descent: 8 Europeans and 7 Asians. The results showed that ERCC1 rs3212986 polymorphism was positively associated with glioma [AA vs CC: odds ratio (OR) = 1.298, 95% confidence interval (95% CI) = 1.043–1.230, P = .025]. Association of the ERCC2 rs13181 and rs1799793 polymorphisms was only observed in Asians (CC vs AA for rs13181: OR = 1.539, 95% CI = 1.122–2.109, P = .007; AA vs GG for rs1799793: OR = 1.474, 95% CI = 1.090–1.994, P = .012). However, no association was observed between glioma risk and ERCC1 rs11615, ERCC2 rs238406, and ERCC5 rs17655 polymorphisms. Moreover, sensitivity and cumulative meta-analyses confirmed the stability of the results. CONCLUSIONS: Our meta-analysis indicated that the ERCC1 rs3212986 polymorphism and 2 polymorphisms in ERCC2 gene (rs13181 and rs1799793) contributed to the susceptibility of glioma. Wolters Kluwer Health 2017-05-19 /pmc/articles/PMC5440135/ /pubmed/28514298 http://dx.doi.org/10.1097/MD.0000000000006832 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle 3500
Qian, Tengda
Zhang, Bin
Qian, Chunsheng
He, Yunwen
Li, Yihuan
Association between common polymorphisms in ERCC gene and glioma risk: A meta-analysis of 15 studies
title Association between common polymorphisms in ERCC gene and glioma risk: A meta-analysis of 15 studies
title_full Association between common polymorphisms in ERCC gene and glioma risk: A meta-analysis of 15 studies
title_fullStr Association between common polymorphisms in ERCC gene and glioma risk: A meta-analysis of 15 studies
title_full_unstemmed Association between common polymorphisms in ERCC gene and glioma risk: A meta-analysis of 15 studies
title_short Association between common polymorphisms in ERCC gene and glioma risk: A meta-analysis of 15 studies
title_sort association between common polymorphisms in ercc gene and glioma risk: a meta-analysis of 15 studies
topic 3500
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440135/
https://www.ncbi.nlm.nih.gov/pubmed/28514298
http://dx.doi.org/10.1097/MD.0000000000006832
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