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RAD51 135G/C polymorphism and breast cancer risk: a meta-analysis from 21 studies

  • Epidemiology
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Abstract

Growing evidence suggests that RAD51 plays a pivotal role in the repair of DNA double-strand breaks and the maintenance of genomic stability. A single nucleotide polymorphism, 135G/C, has been identified in the 5′ untranslated region of the RAD51 gene and has been shown to influence gene transcription activity. Previous studies yielded conflicting results as to the association of 135G/C polymorphism with breast cancer. We aimed to assess the effect of 135G/C of RAD51 on breast cancer susceptibility with the use of a meta-analysis. We performed a meta-analysis of 21 published case–control studies up to April 2010. We found that the CC genotype was associated with a significantly increased risk of breast cancer when compared with the GG, CG, and CG/GG genotypes. Subgroup analyses showed that individuals carrying the CC genotype were associated with an elevated tumor risk in European populations and in sporadic breast cancer. After stratified analyses according to manuscript quality, the CC genotype was associated with a significantly increased risk of breast cancer compared with the CG genotype in studies of both higher and lower quality. However, significantly elevated risk was found in studies of higher quality, but not in studies of lower quality when homozygote and a recessive comparison model were tested. This meta-analysis indicates that RAD51 135G/C polymorphism may be identified as a susceptibility locus for breast cancer.

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Acknowledgments

This study was supported by the National Natural Science Foundation of China (No. 30901720, 30801317).

Conflict of interest statement

None of the authors has any potential financial conflict of interest related to this manuscript.

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Authors and Affiliations

  1. Laboratory of Molecular Translational Medicine, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, People’s Republic of China

    Lin-Bo Gao & Lin Zhang

  2. Department of Forensic Pathology, Henan University of Science and Technology, Luoyang, Henan, 471003, People’s Republic of China

    Xin-Min Pan

  3. Department of Forensic Biology, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, People’s Republic of China

    Xin-Min Pan, Li-Juan Li, Wei-Bo Liang, Yi Zhu & Lu-Shun Zhang

  4. Department of General Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, People’s Republic of China

    Yong-Gang Wei

  5. Department of Pathology, The First People’s Hospital of Yunnan Province, Kunming, Yunnan, 650000, People’s Republic of China

    Ming Tang

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  1. Lin-Bo Gao
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  2. Xin-Min Pan
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  3. Li-Juan Li
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  7. Yong-Gang Wei
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  8. Ming Tang
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  9. Lin Zhang
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Correspondence to Lin Zhang.

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Lin-Bo Gao and Xin-Min Pan contributed equally to this work.

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Gao, LB., Pan, XM., Li, LJ. et al. RAD51 135G/C polymorphism and breast cancer risk: a meta-analysis from 21 studies. Breast Cancer Res Treat 125, 827–835 (2011). https://doi.org/10.1007/s10549-010-0995-8

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