Breast Cancer Research and Treatment

, Volume 130, Issue 2, pp 517–529

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

  • Xiao-Feng He
  • Jiao Su
  • Ying Zhang
  • Xian Huang
  • Yi Liu
  • Da-Peng Ding
  • Wei Wang
  • K. Arparkorn
Epidemiology

DOI: 10.1007/s10549-011-1583-2

Cite this article as:
He, XF., Su, J., Zhang, Y. et al. Breast Cancer Res Treat (2011) 130: 517. doi:10.1007/s10549-011-1583-2

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 [Ph] = 0.153) and recessive model (OR = 0.70, 95% CI = 0.50–0.92, Ph = 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, Ph = 0.30; recessive model: OR = 1.61, 95% CI = 1.21–2.25, Ph = 0.25; additive model: OR = 1.66, 95% CI = 1.24–2.21, Ph = 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.

Keywords

TP53PolymorphismBreast cancerMeta-analysis

Copyright information

© Springer Science+Business Media, LLC. 2011

Authors and Affiliations

  • Xiao-Feng He
    • 1
  • Jiao Su
    • 2
  • Ying Zhang
    • 3
  • Xian Huang
    • 4
  • Yi Liu
    • 5
  • Da-Peng Ding
    • 6
  • Wei Wang
    • 7
    • 8
  • K. Arparkorn
    • 9
  1. 1.Central LaboratoryPeace Hospital of Changzhi Medical CollegeShanxiChina
  2. 2.Department of Biological ChemistryChangzhi Medical CollegeShanxiChina
  3. 3.College of PharmacyJinan UniversityGuangzhouChina
  4. 4.Prevention and Health SectionCenter for Chronic Disease ControlZhuhaiChina
  5. 5.Department of NeurosurgeryNanfang Hospital of Southern Medical UniversityGuangzhouChina
  6. 6.Department of Biological ChemistrySouthern Medical UniversityGuangzhouChina
  7. 7.Research Center of Clinical MedicineNanfang Hospital of Southern Medical UniversityGuangzhouChina
  8. 8.Biomedical Imaging Research CenterUniversity of FukuiEiheijiJapan
  9. 9.Faculty of Medicine Ramathibodi HospitalBangkokThailand