Varying levels of family history of breast cancer in relation to mammographic breast density (United States)
Varying levels of family history of breast cancer in relation to mammographic breast density (United States)
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DOI：
10.1007/s10552-006-0026-6
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发表时间：
2006-08-01
影响因子：
2.3
通讯作者：
Buist, Diana S. M.
中科院分区：
文献类型：
--
作者：
Crest, Anthony B.;Aiello, Erin J.;Buist, Diana S. M.
目的探讨乳腺癌家族史与乳腺钼靶X线摄影乳腺密度的关系。方法研究对象为35,019名绝经后妇女，年龄≥ 40岁，参加了一项基于人群的乳腺钼靶X线摄影筛查项目。我们收集了有乳腺癌病史的一级和二级女性亲属的数量和类型以及诊断时的年龄。我们使用乳腺成像报告和数据系统（TM）乳腺密度分类来识别脂肪（1 =几乎完全脂肪或2 =分散的纤维腺体组织）和致密（3 =不均匀致密或4 =极致密）乳腺的女性。我们使用逻辑回归来计算致密性乳腺（N = 18，111）与脂肪性乳腺（N = 16，908）相比的比值比（OR）和95%置信区间。结果患有致密性乳腺的女性一级亲属的几率比无家族史的女性高17%。一级亲属受影响越多，几率越大[>= N3 vs.（OR = 1.46; 1.05-2.01）]和>= 1名患病一级亲属诊断< 50岁的女性（OR = 1.22;（1.10-1.34）结论乳腺癌家族史与乳腺密度的相关性越强，基因相似可能有共同的，但未被发现的遗传因素影响乳腺癌和乳房X线摄影乳腺密度。
Objective We examined the relationship between breast cancer family history and mammographic breast density.Methods Participants included 35,019 postmenopausal women aged >= N40 years enrolled in a population-based mammography screening program. We collected data on the number and type of 1st and 2nd degree female relatives with a history of breast cancer and their ages at diagnosis. We used the Breast Imaging Reporting and Data System (TM) breast density categories to identify women with fatty (1 = almost entirely fatty or 2 = scattered fibroglandular tissue) and dense (3 = heterogeneously dense or 4 = extremely dense) breasts. We used logistic regression to calculate odds ratios (OR) and 95% confidence intervals for dense (N = 18,111) compared to fatty breasts (N = 16,908).Results The odds of having dense breasts were 17% greater for women with affected 1st degree relatives than women with no family history. The odds increased with more affected 1st degree relatives [>= N3 vs. none (OR = 1.46; 1.05-2.01)] and among women with >= 1 affected 1st degree relative diagnosed < 50 years (OR = 1.22; 1.10-1.34).Conclusions Having a family history of breast cancer was more strongly associated with mammographic breast density when the affected relatives were more genetically similar. There may be common, yet undiscovered, genetic elements that affect breast cancer and mammographic breast density.