首页> 外文期刊>Breast Cancer Research >Tumour morphology of early-onset breast cancers predicts breast cancer risk for first-degree relatives: the Australian Breast Cancer Family Registry
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Tumour morphology of early-onset breast cancers predicts breast cancer risk for first-degree relatives: the Australian Breast Cancer Family Registry

机译:早期乳腺癌的肿瘤形态预测一级亲属的乳腺癌风险:澳大利亚乳腺癌家庭注册

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IntroductionWe hypothesised that breast cancer risk for relatives of women with early-onset breast cancer could be predicted by tumour morphological features.MethodsWe studied female first-degree relatives of a population-based sample of 452 index cases with a first primary invasive breast cancer diagnosed before the age of 40 years. For the index cases, a standardised tumour morphology review had been conducted for all; estrogen (ER) and progesterone receptor (PR) status was available for 401 (89%), and 77 (17%) had a high-risk mutation in a breast cancer susceptibility gene or methylation of the BRCA1 promoter region in peripheral blood DNA. We calculated standardised incidence ratios (SIR) by comparing the number of mothers and sisters with breast cancer with the number expected based on Australian incidence rates specific for age and year of birth.ResultsUsing Cox proportional hazards modelling, absence of extensive sclerosis, extensive intraductal carcinoma, absence of acinar and glandular growth patterns, and the presence of trabecular and lobular growth patterns were independent predictors with between a 1.8- and 3.1-fold increased risk for relatives (all P <0.02). Excluding index cases with known genetic predisposition or BRCA1 promoter methylation, absence of extensive sclerosis, circumscribed growth, extensive intraductal carcinoma and lobular growth pattern were independent predictors with between a 2.0- and 3.3-fold increased risk for relatives (all P <0.02). Relatives of the 128 (34%) index cases with none of these four features were at population risk (SIR = 1.03, 95% CI = 0.57 to 1.85) while relatives of the 37 (10%) index cases with two or more features were at high risk (SIR = 5.18, 95% CI = 3.22 to 8.33).ConclusionsThis wide variation in risks for relatives based on tumour characteristics could be of clinical value, help discover new breast cancer susceptibility genes and be an advance on the current clinical practice of using ER and PR as pathology-based predictors of familial and possibly genetic risks.
机译:前言我们假设可以通过肿瘤的形态学特征预测患有早发性乳腺癌的女性亲属的乳腺癌风险。方法我们研究了以人群为基础的452例病例的女性一级亲属,该病例在早先被确诊为原发性浸润性乳腺癌年龄40岁。对于索引病例,已经对所有患者进行了标准化的肿瘤形态学检查。 401(89%)的雌激素(ER)和孕激素受体(PR)状态可用,乳腺癌易感性基因中高风险突变或外周血DNA中BRCA1启动子区域甲基化的发生率为77(17%)。我们通过比较患有乳腺癌的母亲和姐妹的数量与根据特定于澳大利亚的年龄和出生年份的澳大利亚发病率的预期数量进行比较来计算标准化的发病率(SIR)。结果使用Cox比例风险模型,没有广泛的硬化症,广泛的导管内癌,没有腺泡和腺的生长方式以及小梁和小叶的生长方式是独立的预测因素,亲属的风险增加了1.8到3.1倍(所有P <0.02)。不包括具有已知遗传易感性或BRCA1启动子甲基化,不存在广泛性硬化症,界限性生长,广泛性导管内癌和小叶生长方式的指数病例,它们是独立的预测因素,其亲属风险增加2.0到3.3倍(所有P <0.02)。没有这四个特征的128个(34%)指数病例的亲属处于人群风险(SIR = 1.03,95%CI = 0.57至1.85),而具有两个或更多特征的37个(10%)指数病例的亲属处于人群风险中。结论:这种基于肿瘤特征的亲属风险的巨大差异可能具有临床价值,有助于发现新的乳腺癌易感基因,并可能在当前临床实践中取得进展。处于高风险状态(SIR = 5.18,95%CI = 3.22至8.33)。 ER和PR作为基于病理的家族性和遗传风险预测指标的研究。

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