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Association between the XRCC3 polymorphisms and breast cancer risk: meta-analysis based on case–control studies

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Abstract

The previous published data on the association between X-ray repair cross-complementing group 3 (XRCC3) T241M, A4541G, and A17893G polymorphisms and breast cancer risk remained controversial. Hence, we performed a meta-analysis to investigate the association between breast cancer and XRCC3 T241M (21,910 cases and 23,961 controls), A4541G (9,633 cases and 10,994 controls), and A17893G polymorphisms (10,761 cases and 12,235 controls) in different inheritance models. When all the eligible studies were pooled into the meta-analysis of XRCC3 T241M polymorphism, significantly increased risk of breast cancer was observed in recessive model (odds' ratio [OR] = 1.10, 95% confidence interval [CI] = 1.04–1.16) and in additive model (OR = 1.10, 95% CI = 1.03–1.16). No significant association was found between A4541G polymorphism and breast cancer risk. When all the eligible studies were pooled into the meta-analysis of XRCC3 A17893G polymorphism, no significant association was found in any genetic model. Additionally, when one study was deleted in the sensitive analysis, the results of XRCC3 A17893G were changed in the additive model (OR = 0.90, 95% CI = 0.82–0.99) and dominant model (OR = 0.94, 95% CI = 0.89–0.99). In summary, this meta-analysis indicates that T241M polymorphism show an increased breast cancer risk and A17893G polymorphism may be associated with decreased breast cancer risk. A study with the larger sample size is needed to further evaluated gene-environment interaction on XRCC3 T241M, A4541G, and A17893G polymorphisms and breast cancer risk.

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Authors and Affiliations

  1. Central Laboratory, Peace Hospital of Changzhi Medical College, Changzhi, 046000, China

    Xiao-Feng He

  2. Department of Hematology, Peace Hospital of Changzhi Medical College, Changzhi, 046000, China

    Wu Wei

  3. Department of Biological Chemistry, Changzhi Medical College, Changzhi, 046000, China

    Jiao Su

  4. Department of Public Sports, Changzhi Medical College, Changzhi, 046000, China

    Zi-Xuan Yang

  5. Neurosurgery Department, Nanfang Hospital of Southern Medical University, Guangzhou, 510515, China

    Yi Liu

  6. College of Pharmacy, Jinan University, Guangzhou, 510632, China

    Ying Zhang

  7. Institute of Genetic Engineering, Southern Medical University, Guangzhou, 510515, China

    Da-Peng Ding

  8. Research Center of Clinical Medicine, Nanfang Hospital of Southern Medical University, Guangzhou, 510515, China

    Wei Wang

  9. Biomedical Imaging Research Center, University of Fukui, Eiheiji, Fukui, 910–1193, Japan

    Wei Wang

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  1. Xiao-Feng He
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Correspondence to Xiao-Feng He.

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Xiao-feng He, Wu Wei, and Wei Wang contributed equally to this work and should be considered as co-first authors.

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He, XF., Wei, W., Su, J. et al. Association between the XRCC3 polymorphisms and breast cancer risk: meta-analysis based on case–control studies. Mol Biol Rep 39, 5125–5134 (2012). https://doi.org/10.1007/s11033-011-1308-y

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  • DOI: https://doi.org/10.1007/s11033-011-1308-y

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