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Association between the p53 polymorphisms and breast cancer risk: meta-analysis based on case–control study

  • Epidemiology
  • Published:
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Abstract

p53 is a tumor suppressor gene and plays an important role in the etiology of breast cancer. However, studies on the association between p53 polymorphisms and breast cancer risk have yielded conflicting results. We performed a meta-analysis to investigate the association between breast cancer and the p53 polymorphisms codon 72 (27,046 cases and 30,998 controls), IVS3 16 bp (3,332 cases and 3,700 controls) and IVS6+62A>G (8,787 cases and 9,869 controls) in different inheritance models. When all the eligible studies of codon 72 polymorphism were pooled into this meta-analysis, there was no evidence of significant association between breast cancer risk and p53 codon 72 polymorphism in any genetic model. However, in the stratified analysis for Indian population, significantly association was observed in additive model (OR = 0.62, 95% CI = 0.46–0.82, P value of heterogeneity test [P h] = 0.153) and recessive model (OR = 0.70, 95% CI = 0.50–0.92, P h = 0.463). IVS3 16 bp was significantly associated with breast cancer risk in a pooled 15 studies dataset (dominant model: OR = 1.14, 95% CI = 1.02–1.27, P h = 0.30; recessive model: OR = 1.61, 95% CI = 1.21–2.25, P h = 0.25; additive model: OR = 1.66, 95% CI = 1.24–2.21, P h = 0.28). No significant association was found between IVS6+62A>G polymorphism and breast cancer risk in a total of 14 studies. In summary, these results indicate that IVS3 16 bp is likely an important genetic marker contributing to susceptibility of breast cancer, and codon 72 homozygous mutants may be associated with decreased breast cancer risk in Indian population.

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Authors and Affiliations

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

    Xiao-Feng He

  2. Department of Biological Chemistry, Changzhi Medical College, Shanxi, 046000, China

    Jiao Su

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

    Ying Zhang

  4. Prevention and Health Section, Center for Chronic Disease Control, Zhuhai, 519000, China

    Xian Huang

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

    Yi Liu

  6. Department of Biological Chemistry, Southern Medical University, Guangzhou, 510515, China

    Da-Peng Ding

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

    Wei Wang

  8. Biomedical Imaging Research Center, University of Fukui, Eiheiji, Fukui, 910-1193, Japan

    Wei Wang

  9. Faculty of Medicine Ramathibodi Hospital, Rama VI Road, Bangkok, 10400, Thailand

    K. Arparkorn

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He, XF., Su, J., Zhang, Y. et al. Association between the p53 polymorphisms and breast cancer risk: meta-analysis based on case–control study. Breast Cancer Res Treat 130, 517–529 (2011). https://doi.org/10.1007/s10549-011-1583-2

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