Breast Cancer Research and Treatment

, Volume 123, Issue 2, pp 543–547

Lack of association between MnSOD Val16Ala polymorphism and breast cancer risk: a meta-analysis involving 58,448 subjects

  • Li-Xin Qiu
  • Lei Yao
  • Chen Mao
  • Bo Chen
  • Ping Zhan
  • Hui Yuan
  • Kai Xue
  • Jian Zhang
  • Xi-Chun Hu
Epidemiology

Abstract

Published data on the association between MnSOD Val16Ala polymorphism and breast cancer risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. Medline, PubMed, Embase, and Web of Science were searched. Crude ORs with 95% CIs were used to assess the strength of association between the MnSOD Val16Ala polymorphism and breast cancer risk. The pooled ORs were performed for co-dominant model (Val/Ala vs. Val/Val, Ala/Ala vs. Val/Val), dominant model (Ala/Ala + Val/Ala vs. Val/Val), and recessive model (Ala/Ala vs. Val/Ala + Val/Val), respectively. A total of 32 studies including 26,022 cases and 32,426 controls were involved in this meta-analysis. Overall, no significant associations were found between MnSOD Val16Ala polymorphism and breast cancer risk when all studies pooled into the meta-analysis (Val/Ala vs. Val/Val: OR = 1.022, 95% CI = 0.981–1.064; Ala/Ala vs. Val/Val: OR = 1.006, 95% CI = 0.934–1.083; dominant model: OR = 1.013, 95% CI = 0.962–1.066; and recessive model: OR = 0.985, 95% CI = 0.931–1.042). In the subgroup analysis by ethnicity or study design, still no significant associations were found for all comparison models. In conclusion, this meta-analysis suggests that the MnSOD Val16Ala 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

MnSOD Polymorphism Breast cancer Susceptibility Meta-analysis 

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Copyright information

© Springer Science+Business Media, LLC. 2010

Authors and Affiliations

  • Li-Xin Qiu
    • 1
    • 2
  • Lei Yao
    • 3
  • Chen Mao
    • 4
  • Bo Chen
    • 5
  • Ping Zhan
    • 6
  • Hui Yuan
    • 7
  • Kai Xue
    • 1
    • 2
  • Jian Zhang
    • 1
    • 2
  • Xi-Chun Hu
    • 1
    • 2
  1. 1.Department of Medical Oncology, Cancer HospitalFudan UniversityShanghaiChina
  2. 2.Department of OncologyShanghai Medical College, Fudan UniversityShanghaiChina
  3. 3.State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life SciencesFudan UniversityShanghaiChina
  4. 4.Department of Epidemiology, School of Public Health and Tropical MedicineSouthern Medical UniversityGuangzhouChina
  5. 5.Department of Geriatrics, First Affiliated HospitalNanjing Medical UniversityNanjingChina
  6. 6.Department of Respiratory MedicineNanjing Chest HospitalNanjingChina
  7. 7.Department of Epidemiology and Biostatistics, School of Public HealthAnhui Medical UniversityAnhuiChina

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