Breast Cancer Research and Treatment

, Volume 122, Issue 1, pp 267–271

TNFα −308 G/A polymorphism is associated with breast cancer risk: a meta-analysis involving 10,184 cases and 12,911 controls

  • Fang Fang
  • Lei Yao
  • Xiao Jia Yu
  • Lu Yu
  • Qi Wu
  • Long Yu


Tumor necrosis factor α (TNFα) is a pleiotropic cytokine which can regulate a wide variety of cellular responses. Low concentrations of TNFα seem to increase tumor growth and progression. The −308 G/A polymorphism in TNFα has been implicated in breast cancer risk but the published data remain inconclusive. In order to derive a more precise estimation of the relationship, a meta-analysis was performed by searching PubMed, Web of Science, ScienceDirect, EBSCO, CNKI, and Chinese Biomedicine Database. 11 studies including 10,184 cases and 12,911 controls were collected for TNFα −308 G/A polymorphism. Crude ORs with 95% CIs were used to assess the strength of association between the TNFα −308 G/A polymorphism and breast cancer risk. The pooled ORs were performed for codominant model (GG versus AA; GA versus AA), dominant model (GG + GA versus AA), recessive model (GG versus GA + AA), and G allele versus A allele, respectively. Overall, significantly elevated breast cancer risk was found for recessive model (OR = 1.10, 95% CI = 1.04–1.17) and for G allele versus A allele (OR = 1.08, 95% CI = 1.02–1.14). In the subgroup analysis by ethnicity, significantly increased risks were also found among Caucasians for recessive model and for G allele versus A allele (for recessive model: OR = 1.10, 95% CI = 1.04–1.17; for G allele versus A allele: OR = 1.09, 95% CI = 1.03–1.14). However, no significant associations were found among Asians for all genetic models. In conclusion, this meta-analysis suggests that the TNFα −308 G allele is a risk factor for developing breast cancer, especially for Caucasians.


TNFα Polymorphism Breast cancer Susceptibility Meta-analysis 


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Copyright information

© Springer Science+Business Media, LLC. 2009

Authors and Affiliations

  • Fang Fang
    • 1
  • Lei Yao
    • 1
  • Xiao Jia Yu
    • 1
  • Lu Yu
    • 1
  • Qi Wu
    • 1
  • Long Yu
    • 1
    • 2
  1. 1.State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life SciencesFudan UniversityShanghaiChina
  2. 2.Institutes of Biomedical SciencesFudan UniversityShanghaiChina

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