Breast Cancer Research and Treatment

, Volume 122, Issue 1, pp 237–242

No association between CYP1B1 Val432Leu polymorphism and breast cancer risk: a meta-analysis involving 40,303 subjects

Epidemiology

DOI: 10.1007/s10549-009-0689-2

Cite this article as:
Yao, L., Fang, F., Wu, Q. et al. Breast Cancer Res Treat (2010) 122: 237. doi:10.1007/s10549-009-0689-2

Abstract

Breast cancer is the most common cancer in women. To date, many publications have evaluated the association between Cytochrome P450 1B1 (CYP1B1) Val432Leu polymorphism and breast cancer risk. However, the results remain inconclusive. In order to derive a more precise estimation of the association, a meta-analysis was performed in this study. By searching Medline, Pubmed, and ISI Web of Knowledge databases, 26 studies including 19,028 cases and 21,275 controls were collected for CYP1B1 Val432Leu polymorphism. Crude ORs with 95% CIs were used to assess the strength of association between CYP1B1 Val432Leu polymorphism and breast cancer risk. The pooled ORs were performed for codominant model, dominant model, and recessive model, respectively. Overall, no significant associations between CYP1B1 Val432Leu polymorphism and breast cancer susceptibility were found for Val/Val versus Leu/Leu (OR = 0.98; 95% CI: 0.90–1.06), Val/Leu versus Leu/Leu (OR = 1.01; 95% CI: 0.93–1.09), Val/Val + Val/Leu versus Leu/Leu (OR = 1.00; 95% CI: 0.93–1.08) and Val/Val versus Val/Leu + Leu/Leu (OR = 0.96; 95% CI: 0.91–1.01). In the stratified analysis by ethnicity, menopausal status and sources of controls, significant associations were still not observed in all genetic models. In conclusion, this meta-analysis provides strong evidence that CYP1B1 Val432Leu polymorphism is not associated with breast cancer risk.

Keywords

CYP1B1 Polymorphism Breast cancer Susceptibility Meta-analysis 

Copyright information

© Springer Science+Business Media, LLC. 2009

Authors and Affiliations

  • Lei Yao
    • 1
    • 2
  • Fang Fang
    • 1
  • Qi Wu
    • 1
  • Yang Zhong
    • 2
  • Long Yu
    • 1
  1. 1.State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life SciencesFudan UniversityShanghaiPeople’s Republic of China
  2. 2.Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, School of Life SciencesFudan UniversityShanghaiPeople’s Republic of China

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