Interaction of dense breast patterns with other breast cancer risk factors in a case-control study
Interaction of dense breast patterns with other breast cancer risk factors in a case-control study
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DOI：
10.1038/sj.bjc.6601911
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发表时间：
2004-07-19
影响因子：
8.8
通讯作者：
Gao, F
中科院分区：
文献类型：
--
作者：
Duffy, SW;Jakes, RW;Gao, F
乳腺密度与其他乳腺癌风险因素之间的相互作用问题令人感兴趣，因为它关系到密度作为乳腺癌风险变化的标志物的使用。我们在新加坡的172例乳腺癌病例和338例年龄匹配的对照中研究了乳腺实质模式和其他13个潜在的乳腺癌危险因素。密集型乳腺模式被定义为具有Tabar实质模式IV或V。我们发现密集型和种族之间存在显著的相互作用（P=0.046），密集型和分娩次数之间存在显著的相互作用（P=0.04）。在非致密型乳腺的女性中，非中国人的风险低于中国人，比值比（OR）为0.47（95% CI 0.24，0.88），而在致密型乳腺的女性中，非中国人的风险显著较高（OR 5.34，95% CI 0.54，52.51）。换句话说，仅在非中国人中观察到密集模式的风险增加（OR 13.99，95%CI 1.33，146.99）。在经产妇女中，三次或三次以上分娩的保护作用仅在致密型乳房中观察到（OR=0.21，95%CI 0.06，0.70）。提示，但不显着的相互作用与密集的模式，观察到曾经交付，年龄在第一次分娩，母乳喂养和身体质量指数。结果与致密乳房模式作为乳腺癌风险激素调节的标志一致。
The question of interactions between breast density and other breast cancer risk factors is of interest, since it bears upon the use of density as a marker for changes in breast cancer risk. We studied breast parenchymal patterns and 13 other potential risk factors for breast cancer in 172 breast cancer cases and 338 age-matched controls in Singapore. Dense breast patterns were defined as having Tabar parenchymal pattern IV or V. We found significant interactions between dense patterns and ethnic group (P=0.046), and between dense patterns and number of deliveries (P=0.04). Among women with nondense breast patterns, the non-Chinese had lower risk than the Chinese with an odds ratio (OR) of 0.47 (95% CI 0.24, 0.88), whereas in those with dense patterns, the non-Chinese had considerably higher risks (OR 5.34, 95% CI 0.54, 52.51). Alternatively expressed, the increased risk with dense patterns was only observed in the non-Chinese (OR 13.99, 95% CI 1.33, 146.99). Among parous women, the protective effect of three or more deliveries was only observed in those with dense breast patterns (OR=0.21, 95% CI 0.06, 0.70). Suggestive but nonsignificant interactions with dense patterns were observed for ever having delivered, age at first delivery, breast feeding and body mass index. The results are consistent with dense breast patterns as a marker for hormonal modification of breast cancer risk.