Rebbeck Timothy R, Troxel Andrea B, Walker Amy H, Panossian Saarene, Gallagher Stephen, Shatalova Ekaterina G, Blanchard Rebecca, Norman Sandra, Bunin Greta, DeMichele Angela, Berlin Michelle, Schinnar Rita, Berlin Jesse A, Strom Brian L
Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, 904 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104-6021, USA.
Cancer Epidemiol Biomarkers Prev. 2007 Mar;16(3):444-50. doi: 10.1158/1055-9965.EPI-06-0800.
Estrogen exposures have been associated with breast cancer risk, and genes involved in estrogen metabolism have been reported to mediate that risk. Our goal was to better understand whether combinations of candidate estrogen metabolism genotypes are associated with breast cancer etiology. A population-based case-control study in three counties of the Philadelphia Metropolitan area was undertaken. We evaluated seven main effects and 21 first-order interactions in African Americans and European Americans for genotypes at COMT, CYP1A1, CYP1A2, CYP1B1, CYP3A4, SULT1A1, and SULT1E1 in 878 breast cancer cases and 1,409 matched random digit-dialed controls. In European Americans, we observed main effect associations of genotypes containing any CYP1A12C (odds ratio, 1.71; 95% confidence interval, 1.09-2.67) and breast cancer. No significant main effects were observed in African Americans. Three significant first-order interactions were observed. In European Americans, interactions between SULT1A12 and CYP1A12C genotypes (P(interaction) < 0.001) and between SULT1E1 and CYP1A21F genotypes were observed (P(interaction) = 0.006). In African Americans, an interaction between SULT1A12 and CYP1B14 was observed (P(interaction) = 0.041). We applied the false-positive report probability approach, which suggested that these associations were noteworthy; however, we cannot rule out the possibility that chance led to these associations. Pending future confirmation of these results, our data suggest that breast cancer etiology in both European American and African American postmenopausal women may involve the interaction of a gene responsible for the generation of catecholestrogens with a gene involved in estrogen and catecholestrogen sulfation.
雌激素暴露与乳腺癌风险相关,据报道,参与雌激素代谢的基因介导了这种风险。我们的目标是更好地了解候选雌激素代谢基因型组合是否与乳腺癌病因相关。我们在费城大都市区的三个县开展了一项基于人群的病例对照研究。我们评估了878例乳腺癌病例和1409例匹配的随机数字拨号对照中,非裔美国人和欧裔美国人在儿茶酚-O-甲基转移酶(COMT)、细胞色素P450 1A1(CYP1A1)、细胞色素P450 1A2(CYP1A2)、细胞色素P450 1B1(CYP1B1)、细胞色素P450 3A4(CYP3A4)、磺基转移酶1A1(SULT1A1)和磺基转移酶1E1(SULT1E1)基因座的7个主要效应和21个一阶相互作用。在欧裔美国人中,我们观察到含有任何CYP1A12C基因型(比值比,1.71;95%置信区间,1.09 - 2.67)与乳腺癌之间存在主要效应关联。在非裔美国人中未观察到显著的主要效应。观察到三个显著的一阶相互作用。在欧裔美国人中,观察到SULT1A12与CYP1A12C基因型之间的相互作用(交互作用P值<0.001)以及SULT1E1与CYP1A21F基因型之间的相互作用(交互作用P值 = 0.006)。在非裔美国人中,观察到SULT1A12与CYP1B14之间的相互作用(交互作用P值 = 0.041)。我们应用了假阳性报告概率方法,该方法表明这些关联值得关注;然而,我们不能排除这些关联是由偶然因素导致的可能性。在这些结果得到未来确认之前,我们的数据表明,欧裔美国人和非裔美国绝经后女性的乳腺癌病因可能涉及一个负责儿茶酚雌激素生成的基因与一个参与雌激素和儿茶酚雌激素硫酸化的基因之间的相互作用。