Breast Cancer Research and Treatment

, Volume 123, Issue 1, pp 227–231 | Cite as

The association between ERCC2 Asp312Asn polymorphism and breast cancer risk: a meta-analysis involving 22,766 subjects

  • Lei Yao
  • Li-Xin Qiu
  • Lu Yu
  • Zhen Yang
  • Xia-Jia Yu
  • Yang Zhong
  • Xi-Chun Hu
  • Long Yu


To date, many publications discussed the correlation between ERCC2 Asp312Asn polymorphism and breast cancer risk. However, the results were not unanimous. In order to derive a more precise conclusion, a meta-analysis was performed in this study by searching Medline, PubMed, and ISI Web of Knowledge databases. Finally, 17 studies including 12,019 cases and 10,747 controls were collected for this meta-analysis. The strength of association between ERCC2 Asp312Asn polymorphism and breast cancer risk was assessed by calculating crude ORs with 95% CIs. Overall, no significant associations between ERCC2 Asp312Asn polymorphism and breast cancer susceptibility were found. In the stratified analysis by ethnicity, significant associations were observed for Asn/Asn versus Asp/Asp (OR = 0.55; 95% CI 0.32–0.96) and Asn/Asn versus Asn/Asp + Asp/Asp (OR = 0.53; 95% CI 0.32–0.90) in Asians. In the stratified analysis by study design, significant associations were found for Asn/Asn versus Asp/Asp (OR = 0.79; 95% CI 0.64–0.98) and Asn/Asn versus Asn/Asp + Asp/Asp (OR = 0.82; 95% CI 0.68–0.99) in population-based studies. In conclusion, this meta-analysis provides an evidence that ERCC2 312Asn allele may have a protective effect for breast cancer development in Asians.


ERCC2 Polymorphism Breast cancer Meta-analysis 



This study was supported by National 973 Programs of China Grants 2004CB518605, the National 863 Project of China Grants 2006AA020501, and the National Key Sci-Tech Special Project of China Grants 2008ZX10002-020.


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Copyright information

© Springer Science+Business Media, LLC. 2010

Authors and Affiliations

  • Lei Yao
    • 1
    • 4
  • Li-Xin Qiu
    • 2
    • 3
  • Lu Yu
    • 1
  • Zhen Yang
    • 4
  • Xia-Jia Yu
    • 1
  • Yang Zhong
    • 4
  • Xi-Chun Hu
    • 2
    • 3
  • Long Yu
    • 1
    • 5
  1. 1.State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life SciencesFudan UniversityShanghaiPeople’s Republic of China
  2. 2.Department of Medical Oncology, Cancer HospitalFudan UniversityShanghaiPeople’s Republic of China
  3. 3.Department of Oncology, Shanghai Medical CollegeFudan UniversityShanghaiPeople’s Republic of China
  4. 4.Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, School of Life SciencesFudan UniversityShanghaiPeople’s Republic of China
  5. 5.Institutes of Biomedical SciencesFudan UniversityShanghaiPeople’s Republic of China

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