The predictive ability of the 313 variant-based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant.
Where this comes from
- Record sourced from PubMed, PMID 34113011.
- Also identified by DOI 10.1038/s41436-021-01198-7 and PMC identifier 8460445.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
To evaluate the association between a previously published 313 variant-based breast cancer (BC) polygenic risk score (PRS<sub>313</sub>) and contralateral breast cancer (CBC) risk, in BRCA1 and BRCA2 pathogenic variant heterozygotes. We included women of European ancestry with a prevalent first primary invasive BC (BRCA1 = 6,591 with 1,402 prevalent CBC cases; BRCA2 = 4,208 with 647 prevalent CBC cases) from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA), a large international retrospective series. Cox regression analysis was performed to assess the association between overall and ER-specific PRS<sub>313</sub> and CBC risk. For BRCA1 heterozygotes the estrogen receptor (ER)-negative PRS<sub>313</sub> showed the largest association with CBC risk, hazard ratio (HR) per SD = 1.12, 95% confidence interval (CI) (1.06-1.18), C-index = 0.53; for BRCA2 heterozygotes, this was the ER-positive PRS<sub>313</sub>, HR = 1.15, 95% CI (1.07-1.25), C-index = 0.57. Adjusting for family history, age at diagnosis, treatment, or pathological characteristics for the first BC did not change association effect sizes. For women developing first BC < age 40 years, the cumulative PRS<sub>313</sub> 5th and 95th percentile 10-year CBC risks were 22% and 32% for BRCA1 and 13% and 23% for BRCA2 heterozygotes, respectively. The PRS<sub>313</sub> can be used to refine individual CBC risks for BRCA1/2 heterozygotes of European ancestry, however the PRS<sub>313</sub> needs to be considered in the context of a multifactorial risk model to evaluate whether it might influence clinical decision-making.
Medical subject headings
- Breast Neoplasms