Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK.
Br J Cancer. 2024 Nov;131(9):1473-1479. doi: 10.1038/s41416-024-02851-z. Epub 2024 Sep 18.
The clinical validity of the multifactorial BOADICEA model for epithelial tubo-ovarian cancer (EOC) risk prediction has not been assessed in a large sample size or over a longer term.
We evaluated the model discrimination and calibration in the UK Biobank cohort comprising 199,429 women (733 incident EOCs) of European ancestry without previous cancer history. We predicted 10-year EOC risk incorporating data on questionnaire-based risk factors (QRFs), family history, a 36-SNP polygenic risk score and pathogenic variants (PV) in six EOC susceptibility genes (BRCA1, BRCA2, RAD51C, RAD51D, BRIP1 and PALB2).
Discriminative ability was maximised under the multifactorial model that included all risk factors (AUC = 0.68, 95% CI: 0.66-0.70). This model was well calibrated in deciles of predicted risk with calibration slope=0.99 (95% CI: 0.98-1.01). Discriminative ability was similar in women younger or older than 60 years. The AUC was higher when analyses were restricted to PV carriers (0.76, 95% CI: 0.69-0.82). Using relative risk (RR) thresholds, the full model classified 97.7%, 1.7%, 0.4% and 0.2% women in the RR < 2.0, 2.0 ≤ RR < 2.9, 2.9 ≤ RR < 6.0 and RR ≥ 6.0 categories, respectively, identifying 9.1 of incident EOC among those with RR ≥ 2.0.
BOADICEA, implemented in CanRisk ( www.canrisk.org ), provides valid 10-year EOC risks and can facilitate clinical decision-making in EOC risk management.
多因素 BOADICEA 模型在预测上皮性卵巢癌(EOC)风险方面的临床有效性尚未在大样本量或较长时间内得到评估。
我们评估了该模型在英国生物库队列中的区分度和校准度,该队列包含 199429 名无既往癌症史的欧洲裔女性(733 例 EOC 病例)。我们通过问卷风险因素(QRF)、家族史、36 个单核苷酸多态性(SNP)多基因风险评分以及六个 EOC 易感性基因(BRCA1、BRCA2、RAD51C、RAD51D、BRIP1 和 PALB2)中的致病性变异(PV)来预测 10 年 EOC 风险。
多因素模型(包含所有风险因素)的区分能力最佳(AUC=0.68,95%CI:0.66-0.70)。该模型在预测风险的十分位数中校准良好,校准斜率=0.99(95%CI:0.98-1.01)。在 60 岁以下或以上的女性中,该模型的区分能力相似。当分析仅限于 PV 携带者时,AUC 更高(0.76,95%CI:0.69-0.82)。使用相对风险(RR)阈值,全模型将 97.7%、1.7%、0.4%和 0.2%的女性分别归入 RR<2.0、2.0≤RR<2.9、2.9≤RR<6.0 和 RR≥6.0 类别,RR≥2.0 的女性中有 9.1 例发生 EOC。
BOADICEA 已在 CanRisk(www.canrisk.org)中实现,可提供有效的 10 年 EOC 风险,并有助于 EOC 风险管理中的临床决策。