Molecular Biology Reports

, Volume 38, Issue 7, pp 4491–4494

Current evidences on vascular endothelial growth factor polymorphisms and breast cancer susceptibility

  • Li-Xin Qiu
  • Ke Wang
  • Sheng Yang
  • Chen Mao
  • Lei Zhao
  • Lei Yao
  • Jian Zhang
  • Qun-Ling Zhang
  • Si Sun
  • Kai Xue
Article

DOI: 10.1007/s11033-010-0579-z

Cite this article as:
Qiu, LX., Wang, K., Yang, S. et al. Mol Biol Rep (2011) 38: 4491. doi:10.1007/s11033-010-0579-z

Abstract

Several polymorphisms of vascular endothelial growth factor (VEGF) such as 936 C/T, −2578 C/A, −406 C/T, and −1154 G/A polymorphism have been identified. Published data on the association between VEGF polymorphisms and breast cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. Crude OR with 95% CI was used to assess the strength of association between them. For VEGF 936C/T polymorphism, a total of 10 studies including 7,685 cases and 7,915 controls were involved in this meta-analysis. Overall, no significant associations were found between VEGF 936C/T polymorphism and breast cancer risk when all studies pooled into the meta-analysis (TC vs. CC: OR = 0.904, 95% CI = 0.797–1.024; TT vs. CC: OR = 0.974, 95% CI = 0.786–1.205; dominant model: OR = 0.911, 95% CI = 0.811–1.024; and recessive model: OR = 0.991, 95% CI = 0.801–1.226). In the subgroup analysis by ethnicity, still no significant associations were found for all comparison models. For −2578 C/A, −406 C/T, and −1154 G/A polymorphism, there were too limited data to perform a meta-analysis. In conclusion, this meta-analysis suggests that the VEGF 936C/T polymorphism may be not associated with breast cancer development. However, large sample and representative population-based studies with homogeneous breast cancer patients and well matched controls are warranted to confirm this finding.

Keywords

VEGFPolymorphismBreast cancerSusceptibility

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Li-Xin Qiu
    • 1
    • 2
  • Ke Wang
    • 3
  • Sheng Yang
    • 4
  • Chen Mao
    • 5
  • Lei Zhao
    • 6
  • Lei Yao
    • 7
  • Jian Zhang
    • 1
    • 2
  • Qun-Ling Zhang
    • 1
    • 2
  • Si Sun
    • 1
    • 2
  • Kai Xue
    • 1
    • 2
  1. 1.Department of Medical OncologyFudan University Shanghai Cancer CenterShanghaiChina
  2. 2.Department of OncologyShanghai Medical College, Fudan UniversityShanghaiChina
  3. 3.Institute of Respiratory DiseasesFirst Affiliated Hospital, Guangxi Medical UniversityNanningChina
  4. 4.Department of Medical OncologyUnion Hospital, Fu Jian Medical UniversityFuzhouChina
  5. 5.Department of EpidemiologySchool of Public Health and Tropical Medicine, Southern Medical UniversityGuangzhouChina
  6. 6.Department of Epidemiology, School of Public HealthWuhan UniversityWuhanChina
  7. 7.State Key Laboratory of Genetic EngineeringInstitute of Genetics, School of Life Sciences, Fudan UniversityShanghaiChina