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Association between the RAD51 135 G>C Polymorphism and Risk of Cancer: A Meta-Analysis of 19,068 Cases and 22,630 Controls

BACKGROUND: RAD51 135G>C can modify promoter activity and the penetrance of BRCA1/2 mutations, which plays vital roles in the etiology of various cancer. To date, previous published data on the association between RAD51 135G>C polymorphism and cancer risk remained controversial. Recent meta-an...

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Autores principales: Wang, Wei, Li, Jia-Lin, He, Xiao-Feng, Li, An-Ping, Cai, Yong-Lin, Xu, Na, Sun, Shu-Mei, Wu, Bing-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3767694/
https://www.ncbi.nlm.nih.gov/pubmed/24040396
http://dx.doi.org/10.1371/journal.pone.0075153
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author Wang, Wei
Li, Jia-Lin
He, Xiao-Feng
Li, An-Ping
Cai, Yong-Lin
Xu, Na
Sun, Shu-Mei
Wu, Bing-Yi
author_facet Wang, Wei
Li, Jia-Lin
He, Xiao-Feng
Li, An-Ping
Cai, Yong-Lin
Xu, Na
Sun, Shu-Mei
Wu, Bing-Yi
author_sort Wang, Wei
collection PubMed
description BACKGROUND: RAD51 135G>C can modify promoter activity and the penetrance of BRCA1/2 mutations, which plays vital roles in the etiology of various cancer. To date, previous published data on the association between RAD51 135G>C polymorphism and cancer risk remained controversial. Recent meta-analysis only analyzed RAD51 135G>C polymorphism with breast cancer risk, but the results were also inconsistent. METHODS: A meta-analysis based on 39 case-control studies was performed to investigate the association between cancer susceptibility and RAD51 135G>C. Odds ratios (OR) with 95% confidence intervals (CIs) were used to assess the association in different inheritance models. Heterogeneity among studies was tested and sensitivity analysis was applied. RESULTS: Overall, no significant association was found between RAD51 135G>C polymorphism and cancer susceptibility in any genetic model. In further stratified analysis, significantly elevated breast cancer risk was observed in BRCA2 mutation carriers (recessive model: OR = 4.88, 95% CI = 1.10–21.67; additive model: OR = 4.92, 95% CI = 1.11–21.83). CONCLUSIONS: This meta-analysis suggests that RAD51 variant 135C homozygote is associated with elevated breast cancer risk among BRCA2 mutation carriers. Moreover, our work also points out the importance of new studies for RAD51 135G>C association in acute myeloid leukemia, especially in Caucasians, where at least some of the covariates responsible for heterogeneity could be controlled, to obtain a more conclusive understanding about the function of the RAD51 135G>C polymorphism in cancer development.
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spelling pubmed-37676942013-09-13 Association between the RAD51 135 G>C Polymorphism and Risk of Cancer: A Meta-Analysis of 19,068 Cases and 22,630 Controls Wang, Wei Li, Jia-Lin He, Xiao-Feng Li, An-Ping Cai, Yong-Lin Xu, Na Sun, Shu-Mei Wu, Bing-Yi PLoS One Research Article BACKGROUND: RAD51 135G>C can modify promoter activity and the penetrance of BRCA1/2 mutations, which plays vital roles in the etiology of various cancer. To date, previous published data on the association between RAD51 135G>C polymorphism and cancer risk remained controversial. Recent meta-analysis only analyzed RAD51 135G>C polymorphism with breast cancer risk, but the results were also inconsistent. METHODS: A meta-analysis based on 39 case-control studies was performed to investigate the association between cancer susceptibility and RAD51 135G>C. Odds ratios (OR) with 95% confidence intervals (CIs) were used to assess the association in different inheritance models. Heterogeneity among studies was tested and sensitivity analysis was applied. RESULTS: Overall, no significant association was found between RAD51 135G>C polymorphism and cancer susceptibility in any genetic model. In further stratified analysis, significantly elevated breast cancer risk was observed in BRCA2 mutation carriers (recessive model: OR = 4.88, 95% CI = 1.10–21.67; additive model: OR = 4.92, 95% CI = 1.11–21.83). CONCLUSIONS: This meta-analysis suggests that RAD51 variant 135C homozygote is associated with elevated breast cancer risk among BRCA2 mutation carriers. Moreover, our work also points out the importance of new studies for RAD51 135G>C association in acute myeloid leukemia, especially in Caucasians, where at least some of the covariates responsible for heterogeneity could be controlled, to obtain a more conclusive understanding about the function of the RAD51 135G>C polymorphism in cancer development. Public Library of Science 2013-09-09 /pmc/articles/PMC3767694/ /pubmed/24040396 http://dx.doi.org/10.1371/journal.pone.0075153 Text en © 2013 Wang et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Wang, Wei
Li, Jia-Lin
He, Xiao-Feng
Li, An-Ping
Cai, Yong-Lin
Xu, Na
Sun, Shu-Mei
Wu, Bing-Yi
Association between the RAD51 135 G>C Polymorphism and Risk of Cancer: A Meta-Analysis of 19,068 Cases and 22,630 Controls
title Association between the RAD51 135 G>C Polymorphism and Risk of Cancer: A Meta-Analysis of 19,068 Cases and 22,630 Controls
title_full Association between the RAD51 135 G>C Polymorphism and Risk of Cancer: A Meta-Analysis of 19,068 Cases and 22,630 Controls
title_fullStr Association between the RAD51 135 G>C Polymorphism and Risk of Cancer: A Meta-Analysis of 19,068 Cases and 22,630 Controls
title_full_unstemmed Association between the RAD51 135 G>C Polymorphism and Risk of Cancer: A Meta-Analysis of 19,068 Cases and 22,630 Controls
title_short Association between the RAD51 135 G>C Polymorphism and Risk of Cancer: A Meta-Analysis of 19,068 Cases and 22,630 Controls
title_sort association between the rad51 135 g>c polymorphism and risk of cancer: a meta-analysis of 19,068 cases and 22,630 controls
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3767694/
https://www.ncbi.nlm.nih.gov/pubmed/24040396
http://dx.doi.org/10.1371/journal.pone.0075153
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