Family history and risk of breast cancer: an analysis accounting for family structure.

Family history and risk of breast cancer: an analysis accounting for family structure.
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DOI:
10.1007/s10549-017-4325-2
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发表时间:
2017-08
影响因子:
3.8
通讯作者:
Swerdlow AJ
Swerdlow AJ
中科院分区:
医学2区
文献类型:
--
作者:
Brewer HR;Jones ME;Schoemaker MJ;Ashworth A;Swerdlow AJ

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家族史是乳腺癌发病率的一个重要风险因素,但传统上用于对其进行分类的参数仅基于家庭中乳腺癌病例的数量和/或年龄,而没有考虑妇女家庭的规模和年龄结构。使用来自世代研究的数据,我们使用家族史评分(FHS)分析了一级家族史与乳腺癌风险的关系,该评分考虑了基于家庭年龄结构和国家癌症发病率的预期家庭病例数。随着FHS的增加,乳腺癌风险显著增加(P趋势< 0.0001)。FHS最低组和最高组之间的风险范围为3.5倍(95% CI 2.56-4.79),而有两个或两个以上亲属患有乳腺癌的妇女,其风险增加了2.5倍(95% CI 1.83-3.47)。使用似然比检验,确定由于家族史导致的乳腺癌风险的最佳模型是将FHS和诊断时的亲属年龄结合起来。基于家族中预期和观察到的乳腺癌的家族史评分比仅基于受影响亲属的病例的传统参数对乳腺癌发病率的风险歧视更大。我们的模型表明,一个更强的风险预测因素可能是这个分数和亲属诊断时的年龄的结合。本文的在线版本(doi:10.1007/s10549-017-4325-2)包含补充材料,仅供授权用户使用。
Family history is an important risk factor for breast cancer incidence, but the parameters conventionally used to categorize it are based solely on numbers and/or ages of breast cancer cases in the family and take no account of the size and age-structure of the woman’s family. Using data from the Generations Study, a cohort of over 113,000 women from the general UK population, we analyzed breast cancer risk in relation to first-degree family history using a family history score (FHS) that takes account of the expected number of family cases based on the family’s age-structure and national cancer incidence rates. Breast cancer risk increased significantly (P trend < 0.0001) with greater FHS. There was a 3.5-fold (95% CI 2.56–4.79) range of risk between the lowest and highest FHS groups, whereas women who had two or more relatives with breast cancer, the strongest conventional familial risk factor, had a 2.5-fold (95% CI 1.83–3.47) increase in risk. Using likelihood ratio tests, the best model for determining breast cancer risk due to family history was that combining FHS and age of relative at diagnosis. A family history score based on expected as well as observed breast cancers in a family can give greater risk discrimination on breast cancer incidence than conventional parameters based solely on cases in affected relatives. Our modeling suggests that a yet stronger predictor of risk might be a combination of this score and age at diagnosis in relatives. The online version of this article (doi:10.1007/s10549-017-4325-2) contains supplementary material, which is available to authorized users.
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