Breast Cancer Research and Treatment

, Volume 120, Issue 2, pp 509–517

P53 codon 72 polymorphism contributes to breast cancer risk: a meta-analysis based on 39 case–control studies

  • Zhizhong Zhang
  • Meilin Wang
  • Dongmei Wu
  • Miaomiao Wang
  • Na Tong
  • Yuanyuan Tian
  • Zhengdong Zhang
Epidemiology

DOI: 10.1007/s10549-009-0480-4

Cite this article as:
Zhang, Z., Wang, M., Wu, D. et al. Breast Cancer Res Treat (2010) 120: 509. doi:10.1007/s10549-009-0480-4

Abstract

P53 is a tumor suppressor gene and plays important roles in the etiology of breast cancer. Studies revealing conflicting results on the role of p53 codon 72 polymorphism (G>C) on breast cancer risk led us to perform a meta-analysis to investigate this relationship. Thirty-nine published studies, including 26,041 breast cancer cases and 29,679 controls were identified. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the strength of the associations. The overall results suggested that the variant genotypes were associated with a significantly reduced breast cancer risk (GC vs. GG: OR = 0.91, 95% CI: 0.83–1.00; CC/GC vs. GG: OR = 0.90, 95% CI: 0.82–0.99). In the stratified analyses, significantly decreased risks were also found among European populations (GC vs. GG: OR = 0.89, 95% CI: 0.80–0.99; CC/GC vs. GG: OR = 0.88, 95% CI: 0.80–0.98) and studies with population-based controls (GC vs. GG: OR = 0.88, 95% CI: 0.78–0.98; CC/GC vs. GG: OR = 0.87, 95% CI: 0.78–0.97). The results suggested that p53 codon 72 polymorphism may contribute to susceptibility to breast cancer, especially in Europeans. Additional well-designed large studies were required to validate this association in different populations.

Keywords

P53Breast cancerMeta-analysisMolecular epidemiologyGenetic variation

Supplementary material

10549_2009_480_MOESM1_ESM.doc (90 kb)
Supplementary material 1 (DOC 89 kb)

Copyright information

© Springer Science+Business Media, LLC. 2009

Authors and Affiliations

  • Zhizhong Zhang
    • 1
    • 2
  • Meilin Wang
    • 1
    • 2
  • Dongmei Wu
    • 2
  • Miaomiao Wang
    • 2
  • Na Tong
    • 3
  • Yuanyuan Tian
    • 2
  • Zhengdong Zhang
    • 1
    • 2
    • 3
  1. 1.Key Laboratory of Reproductive MedicineNanjing Medical UniversityNanjingChina
  2. 2.Department of Molecular & Genetic Toxicology, School of Public HealthNanjing Medical UniversityNanjingChina
  3. 3.Epidemiology & BiostatisticsCancer Center of Nanjing Medical UniversityNanjingChina