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Medical Oncology

, Volume 28, Issue 2, pp 424–428 | Cite as

Lack of significant association between TGF-β1 -590C/T polymorphism and breast cancer risk: a meta-analysis

  • Yongsheng Huang
  • Youjin Hao
  • Binghui Li
  • Jingtian Xie
  • Ji Qian
  • Chen Chao
  • Long Yu
Original Paper

Abstract

Transforming growth factor β1 (TGF-β1) is a cytokine that plays an important role in the control of cell proliferation and differentiation in breast cancer. The -509C/T polymorphism in the TGF-β1 gene has been implicated in breast cancer risk. However, studies on the association between this polymorphism and breast cancer risk have produced conflicting results. To derive a more precise estimation of the relationship, a meta-analysis of the -509C/T polymorphism (5,825 cases and 7,953 controls) from seven published case–control studies was performed. Our analysis suggests that -509C/T has no association with breast cancer risk when using either dominant [odds ratio (OR) = 1.01, 95% confidence intervals (CI): 0.82–1.24], or recessive models (OR = 0.91, 95% CI: 0.66–1.27), or other genetic models to analyze the data. In ethnic subgroups analysis, -509C/T also did not appear to be a risk factor for breast cancer. However, larger scale primary studies are still required to further evaluate the interaction of TGF-β1 -509C/T polymorphism and breast cancer risk in specific populations.

Keywords

TGF-β1 Breast cancer Polymorphism Meta-analysis 

Notes

Acknowledgments

The authors thank Dr. John Kokontis for editorial assistance of the manuscript. This work was supported by National 973 Programs of China grant [2004CB518605 to L.Y.], the National 863 project of China [2006AA020501 to L.Y.],the National Key Sci-Tech Special Project of China [2008ZX10002-020], the Project of the Shanghai Municipal Science and Technology Commission [03dz14086], and the National Natural Science foundation of China [30024001,30771188].

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life ScienceFudan UniversityShanghaiPeople’s Republic of China
  2. 2.Ben May Department for Cancer ResearchUniversity of ChicagoChicagoUSA
  3. 3.James Frank InstituteUniversity of ChicagoChicagoUSA

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