Breast Cancer Research and Treatment

, Volume 122, Issue 2, pp 521–525

Lack of association of CYP1A2-164 A/C polymorphism with breast cancer susceptibility: a meta-analysis involving 17,600 subjects

Authors

  • Li-Xin Qiu
    • Department of Medical Oncology, Cancer HospitalFudan University
    • Department of Oncology, Shanghai Medical CollegeFudan University
  • Lei Yao
    • State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life SciencesFudan University
  • Chen Mao
    • Department of Epidemiology, School of Public Health and Tropical MedicineSouthern Medical University
  • Ke-Da Yu
    • Department of Oncology, Shanghai Medical CollegeFudan University
    • Breast Cancer Institute, Department of Breast Surgery, Cancer HospitalFudan University
  • Ping Zhan
    • Department of Respiratory MedicineNanjing Chest Hospital
  • Bo Chen
    • Department of Geriatrics, First Affiliated HospitalNanjing Medical University
  • Hui Yuan
    • Department of Epidemiology and Biostatistics, School of Public HealthAnhui Medical University
  • Jian Zhang
    • Department of Medical Oncology, Cancer HospitalFudan University
    • Department of Oncology, Shanghai Medical CollegeFudan University
  • Kai Xue
    • Department of Medical Oncology, Cancer HospitalFudan University
    • Department of Oncology, Shanghai Medical CollegeFudan University
    • Department of Medical Oncology, Cancer HospitalFudan University
    • Department of Oncology, Shanghai Medical CollegeFudan University
Epidemiology

DOI: 10.1007/s10549-009-0731-4

Cite this article as:
Qiu, L., Yao, L., Mao, C. et al. Breast Cancer Res Treat (2010) 122: 521. doi:10.1007/s10549-009-0731-4

Abstract

Published data on the association between cytochrome P-450 1A2 (CYP1A2)-164 A/C 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 CYP1A2-164 A/C polymorphism and breast cancer risk. The pooled ORs were performed for co-dominant model (AC versus AA, CC versus AA), dominant model (CC + AC versus AA), and recessive model (CC versus AA + AC), respectively. A total of 9 studies including 7,580 cases and 10,020 controls were involved in this meta-analysis. Overall, no significantly elevated breast cancer risk was found in all genetic models when all studies were pooled into the meta-analysis (AC versus AA: OR = 1.02, 95% CI = 0.92–1.13; CC versus AA: OR = 1.17, 95% CI = 0.83–1.64; dominant model: OR = 1.07, 95% CI = 0.93–1.23; and recessive model: OR = 1.13, 95% CI = 0.82–1.55). In the subgroup analysis by ethnicity or source of controls, there was still no significant association detected in all genetic models. In conclusion, upto date, there is still no enough evidence to indicate the association of CYP1A2-164 A/C polymorphism and breast cancer development.

Keywords

CYP1A2PolymorphismBreast cancerSusceptibilityMeta-analysis

Copyright information

© Springer Science+Business Media, LLC. 2010