Breast Cancer Research and Treatment

, Volume 122, Issue 2, pp 471–481

Factors influencing the association between CYP17 T34C polymorphism and the risk of breast cancer: meta-regression and subgroup analysis


DOI: 10.1007/s10549-009-0690-9

Cite this article as:
Chen, Y. & Pei, J. Breast Cancer Res Treat (2010) 122: 471. doi:10.1007/s10549-009-0690-9


A number of studies have been investigated the association between CYP17 T34C polymorphism and the risk of breast cancer; the results of these studies are inconsistent, however. This fact implies that the effect of CYP17 T34C polymorphism on susceptibility to breast cancer may be modified by other risk factors. In order to provide a more definitive conclusion, a full meta-analysis combining and summarizing 24 studies was first performed. Both traditional method and Bayesian approach were applied. Odds ratio was estimated using a dominant mode of inheritance after a biological justification for the choice of genetic model. The results of homogeneity analysis (H = 1.16, I2 = 25.4%, and P = 0.127) suggested the presence of heterogeneity across the studies. Thus, random effects models simulated by the DerSimonian–Laird method were employed. The capability of a Bayesian approach was highlighted in the estimation of a pooled odds ratio and 95% confidence interval. The results of meta-analysis (OR = 1.001, CI = 0.832–1.208) suggest no significant association in the combined populations. Furthermore, Bayesian meta-regression and subgroup analysis were conducted to investigate the sources of heterogeneity. The risk factors evaluated in the study were menopausal status, ethnicity, age at menarche, age at first birth, parity, use of oral contraceptives, body mass index (BMI), and use of hormone repair therapy (HRT). After these population stratifications, there was evidence indicating that a possible impact of menopausal status, age at menarche, and BMI on the association between CYP17 T34C polymorphism and the risk of breast cancer.


CYP17PolymorphismBreast cancerBayesian meta-regressionSubgroup meta-analysis

Supplementary material

10549_2009_690_MOESM1_ESM.pdf (151 kb)
Fig. 1S Cumulative meta-analysis (by sample size) for association between the CYP17 T34C polymorphism and the risk of breast cancer. The odds ratio and its 95% confidence interval were computed accumulatively (PDF 152 kb)
10549_2009_690_MOESM2_ESM.pdf (11 kb)
Fig. 2S The frequencies of C allele carriers in control groups of Asian and non-Asian women (PDF 11 kb)
10549_2009_690_MOESM3_ESM.pdf (14 kb)
Fig. 3S HapMap (CEU population, northern and western European ancestry) of LD block structure of ~2 kb region surrounding CYP17 T34C (PDF 14 kb)

Copyright information

© Springer Science+Business Media, LLC. 2009

Authors and Affiliations

  1. 1.Department of PharmacologyNanjing Medical UniversityNanjingChina
  2. 2.Jiangsu Provincial Jiaotong Planning and Design InstituteNanjingChina