Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Department of Oncology, South General Hospital, Stockholm, Sweden.
Cancer Res. 2020 Apr 1;80(7):1590-1600. doi: 10.1158/0008-5472.CAN-19-2455.
Mammographic features influence breast cancer risk and are used in risk prediction models. Understanding how genetics influence mammographic features is important because the mechanisms through which they are associated with breast cancer are not well known. Here, using mammographic screening history and detailed questionnaire data from 56,820 women from the KARMA prospective cohort study, we investigated the association between a genetic predisposition to breast cancer and mammographic features among women with a family history of breast cancer ( = 49,674) and a polygenic risk score (PRS, = 9,365). The heritability of mammographic features such as dense area (MD), microcalcifications, masses, and density change (MDC, cm/year) was estimated using 1,940 sister pairs. Heritability was estimated at 58% [95% confidence interval (CI), 48%-67%) for MD, 23% (2%-45%) for microcalcifications, and 13% (1%-25%)] for masses. The estimated heritability for MDC was essentially null (2%; 95% CI, -8% to 12%). The association between a genetic predisposition to breast cancer (using PRS) and MD and microcalcifications was positive, while for masses this was borderline significant. In addition, for MDC, having a family history of breast cancer was associated with slightly greater MD reduction. In summary, we have confirmed previous findings of heritability in MD, and also established heritability of the number of microcalcifications and masses at baseline. Because these features are associated with breast cancer risk and can improve detecting women at short-term risk of breast cancer, further investigation of common loci associated with mammographic features is warranted to better understand the etiology of breast cancer. SIGNIFICANCE: These findings provide novel data on the heritability of microcalcifications, masses, and density change, which are all associated with breast cancer risk and can indicate women at short-term risk.
乳腺的影像学特征会影响乳腺癌的发病风险,并被用于风险预测模型。了解遗传因素如何影响乳腺影像学特征很重要,因为我们目前还不完全清楚它们与乳腺癌相关的作用机制。在此,我们利用 KARMA 前瞻性队列研究中 56820 名有乳腺癌家族史女性的乳腺影像学筛查史和详细的问卷调查数据,调查了乳腺癌遗传易感性与有乳腺癌家族史的女性(=49674 人)和多基因风险评分(PRS,=9365 人)的乳腺影像学特征之间的关联。通过对 1940 对姐妹进行分析,我们估计了致密区域(MD)、微钙化、肿块和密度变化(MDC,cm/年)等乳腺影像学特征的遗传力。MD 的遗传力估计值为 58%(95%置信区间为 48%-67%),微钙化的遗传力为 23%(2%-45%),肿块的遗传力为 13%(1%-25%)。MDC 的遗传力估计值基本为零(2%;95%置信区间,-8%至 12%)。乳腺癌遗传易感性(使用 PRS)与 MD 和微钙化呈正相关,而与肿块的相关性则接近显著水平。此外,对于 MDC,有乳腺癌家族史与 MD 降低幅度略大相关。综上所述,我们证实了 MD 具有可遗传性,并且还确定了基线时微钙化和肿块数量的遗传力。由于这些特征与乳腺癌风险相关,并且可以提高对短期乳腺癌风险女性的检出率,因此进一步研究与乳腺影像学特征相关的常见基因座有助于更好地了解乳腺癌的病因。