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Breast Cancer Research and Treatment

, Volume 123, Issue 2, pp 563–567 | Cite as

TGFB1 L10P polymorphism is associated with breast cancer susceptibility: evidence from a meta-analysis involving 47,817 subjects

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

Abstract

Published data on the association between TGFB1 L10P polymorphism and breast cancer risk are inconclusive. In order to derive a more precise estimation of the relationship, a meta-analysis was performed. Crude ORs with 95% CIs were used to assess the strength of association between them. A total of 30 studies including 20,401 cases and 27,416 controls were involved in this meta-analysis. Overall, significantly elevated breast cancer risk was associated with TGFB1 10P allele when all studies were pooled into the meta-analysis (LP vs. LL: OR = 1.046, 95% CI = 1.003–1.090; dominant model: OR = 1.052, 95% CI = 1.012–1.095). In the subgroup analysis by ethnicity, statistically significantly elevated risk was found in Caucasians (dominant model: OR = 1.045, 95% CI = 1.001–1.091). When stratified by study design, statistically significantly elevated risk was found based on population-based studies (dominant model: OR = 1.076, 95% CI = 1.019–1.136). In conclusion, this meta-analysis suggests that the TGFB1 10P allele may be a low-penetrant risk factor for developing breast cancer. However, large sample and representative population-based studies with homogeneous breast cancer patients and well-matched controls are warranted to confirm this finding.

Keywords

TGFB1 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
  • Kai Xue
    • 1
    • 2
  • Jian Zhang
    • 1
    • 2
  • Hui Yuan
    • 7
  • Xi-Chun Hu
    • 1
    • 2
  1. 1.Department of Medical Oncology, Cancer HospitalFudan UniversityShanghaiChina
  2. 2.Department of Oncology, Shanghai Medical CollegeFudan 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 UniversityHefeiChina

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