Literature DB >> 16492926

Joint effects of the CYP1A1 MspI, ERalpha PvuII, and ERalpha XbaI polymorphisms on the risk of breast cancer: results from a population-based case-control study in Shanghai, China.

Yueping Shen1, De-Kun Li, Junqing Wu, Zibao Zhang, Ersheng Gao.   

Abstract

Estrogen-metabolizing gene and estrogen receptor (ER) genes are the possible risk factors implicated in the initiation and development of breast through estrogen tumorigenesis pathway. We examined whether CYP1A1 MspI, ERalpha PvuII, and ERalpha XbaI genetic polymorphisms could increase the risk of breast cancer among Chinese women and gene-gene joint effect on the breast cancer risk in a subset from a population-based case-control study conducted in urban Shanghai from January 1, 1998 and November 31, 2001. PCR-RFLP method based on buccal cells was used to examine the three candidate polymorphisms in 282 breast cancer cases and 298 controls. Compared with CYP1A1 MspI m1/m1, the risk of breast cancer was doubled for genotypes CYP1A1 MspI m1/m2 [odds ratio (OR), 1.83; 95% confidence interval (95% CI), 1.24-2.69] and CYP1A1 MspI m2/m2 (OR, 2.22; 95% CI, 1.26-3.85). The association seemed to be stronger among cases diagnosed older than 45 years and women without a family history of breast cancer. ERalpha PvuII pp and ERalpha XbaI xx polymorphisms, which are in possible linkage disequilibrium, were both associated with a nonsignificantly elevated risk in all subjects; the associations seemed to be stronger among women with a family history of breast cancer. There seems to be a joint effect on the breast cancer risk between CYP1A1 MspI and ERalpha XbaI genotypes (m2/m2 and xx; OR, 5.87; 95% CI, 1.38-24.98), between CYP1A1 MspI and ERalpha PvuII genotypes (m2/m2 and pp; OR, 2.39; 95% CI, 0.81-7.07), and among all three genotypes (m2/m2, pp, and xx; OR, 8.07; 95% CI, 1.45-44.77). Results of this study indicate that estrogen-metabolizing genes and estrogen receptor may jointly play a role in the etiology of breast cancer.

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Year:  2006        PMID: 16492926     DOI: 10.1158/1055-9965.EPI-05-0485

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  23 in total

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