Brewer Hannah R, Jones Michael E, Schoemaker Minouk J, Ashworth Alan, Swerdlow Anthony J
Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
Division of Genetics and Epidemiology, The Institute of Cancer Research, Sir Richard Doll Building, Sutton, Surrey, SM2 5NG, UK.
Breast Cancer Res Treat. 2017 Aug;165(1):193-200. doi: 10.1007/s10549-017-4325-2. Epub 2017 Jun 3.
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 < 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.
家族史是乳腺癌发病的重要风险因素,但传统上用于对其进行分类的参数仅基于家族中乳腺癌病例的数量和/或年龄,而未考虑女性家族的规模和年龄结构。
利用来自世代研究的数据,该研究对超过113,000名来自英国普通人群的女性进行了队列研究,我们使用家族史评分(FHS)分析了与一级家族史相关的乳腺癌风险,该评分考虑了基于家族年龄结构和国家癌症发病率的家族病例预期数量。
乳腺癌风险随着FHS的增加而显著增加(P < 0.0001)。最低和最高FHS组之间的风险范围为3.5倍(95%CI 2.56 - 4.79),而有两个或更多患乳腺癌亲属的女性,这是最强的传统家族风险因素,其风险增加了2.5倍(95%CI 1.83 - 3.47)。使用似然比检验,确定家族史导致乳腺癌风险的最佳模型是将FHS和亲属诊断时的年龄相结合。
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病例的传统参数在乳腺癌发病率风险判别方面能提供更大的区分度。我们的模型表明,更强的风险预测指标可能是该评分与亲属诊断年龄的组合。