Prospective validation of the BOADICEA multifactorial breast cancer risk prediction model in a large prospective cohort study

被引:42
作者
Yang, Xin [1 ]
Eriksson, Mikael [2 ]
Czene, Kamila [2 ]
Lee, Andrew [1 ]
Leslie, Goska [1 ]
Lush, Michael [1 ]
Wang, Jean [1 ]
Dennis, Joe [1 ]
Dorling, Leila [1 ]
Carvalho, Sara [1 ]
Mavaddat, Nasim [1 ]
Simard, Jacques [3 ,4 ]
Schmidt, Marjanka K. [5 ,6 ]
Easton, Douglas F. [1 ,7 ]
Hall, Per [2 ,8 ]
Antoniou, Antonis C. [1 ]
机构
[1] Univ Cambridge, Ctr Canc Genet Epidemiol, Dept Publ Hlth & Primary Care, Strangeways Res Lab, Cambridge CB1 8RN, England
[2] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
[3] Univ Laval, Dept Mol Med, Quebec City, PQ, Canada
[4] Univ Laval, CHU Quebec, Res Ctr, Quebec City, PQ, Canada
[5] Leiden Univ, Dept Clin Genet, Med Ctr, Leiden, Netherlands
[6] Antoni van Leeuwenhoek Hosp, Netherlands Canc Inst, Devis Mol Pathol, Amsterdam, Netherlands
[7] Univ Cambridge, Ctr Canc Genet Epidemiol, Dept Oncol, Cambridge, England
[8] Soder Sjukhuset, Dept Oncol, Stockholm, Sweden
基金
加拿大健康研究院;
关键词
genetic counseling; public health; women's health; BRCA1/2 CARRIER COHORT; DENSITY; DISCRIMINATION; WOMEN;
D O I
10.1136/jmg-2022-108806
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background The multifactorial Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) breast cancer risk prediction model has been recently extended to consider all established breast cancer risk factors. We assessed the clinical validity of the model in a large independent prospective cohort. Methods We validated BOADICEA (V.6) in the Swedish KARolinska Mammography Project for Risk Prediction of Breast Cancer (KARMA) cohort including 66 415 women of European ancestry (median age 54 years, IQR 45-63; 816 incident breast cancers) without previous cancer diagnosis. We calculated 5-year risks on the basis of questionnaire-based risk factors, pedigree-structured first-degree family history, mammographic density (BI-RADS), a validated breast cancer polygenic risk score (PRS) based on 313-SNPs, and pathogenic variant status in 8 breast cancer susceptibility genes: BRCA1, BRCA2, PALB2, CHEK2, ATM, RAD51C, RAD51D and BARD1. Calibration was assessed by comparing observed and expected risks in deciles of predicted risk and the calibration slope. The discriminatory ability was assessed using the area under the curve (AUC). Results Among the individual model components, the PRS contributed most to breast cancer risk stratification. BOADICEA was well calibrated in predicting the risks for low-risk and high-risk women when all, or subsets of risk factors are included in the risk prediction. Discrimination was maximised when all risk factors are considered (AUC=0.70, 95% CI: 0.66 to 0.73; expected-to-observed ratio=0.88, 95% CI: 0.75 to 1.04; calibration slope=0.97, 95% CI: 0.95 to 0.99). The full multifactorial model classified 3.6% women as high risk (5-year risk >= 3%) and 11.1% as very low risk (5-year risk <0.33%). Conclusion The multifactorial BOADICEA model provides valid breast cancer risk predictions and a basis for personalised decision-making on disease prevention and screening.
引用
收藏
页码:1196 / 1205
页数:10
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