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

  • Epidemiology
  • Published:
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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.

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Authors and Affiliations

  1. Department of Medical Oncology, Cancer Hospital, Fudan University, Shanghai, China

    Li-Xin Qiu, Jian Zhang, Kai Xue & Xi-Chun Hu

  2. Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China

    Li-Xin Qiu, Ke-Da Yu, Jian Zhang, Kai Xue & Xi-Chun Hu

  3. State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China

    Lei Yao

  4. Department of Epidemiology, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou, China

    Chen Mao

  5. Breast Cancer Institute, Department of Breast Surgery, Cancer Hospital, Fudan University, Shanghai, China

    Ke-Da Yu

  6. Department of Respiratory Medicine, Nanjing Chest Hospital, Nanjing, China

    Ping Zhan

  7. Department of Geriatrics, First Affiliated Hospital, Nanjing Medical University, Nanjing, China

    Bo Chen

  8. Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Anhui, China

    Hui Yuan

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  1. Li-Xin Qiu
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  2. Lei Yao
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  8. Jian Zhang
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  9. Kai Xue
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  10. Xi-Chun Hu
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Corresponding author

Correspondence to Xi-Chun Hu.

Additional information

Li-Xin Qiu, Lei Yao, and Chen Mao contributed equally to this study and should be considered as co-first authors.

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Qiu, LX., Yao, L., Mao, C. et al. Lack of association of CYP1A2-164 A/C polymorphism with breast cancer susceptibility: a meta-analysis involving 17,600 subjects. Breast Cancer Res Treat 122, 521–525 (2010). https://doi.org/10.1007/s10549-009-0731-4

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  • DOI: https://doi.org/10.1007/s10549-009-0731-4

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