Clinical implications of incorporating genetic and non-genetic risk factors in CanRisk-based breast cancer risk prediction.

ABSTRACT:

Background

Breast cancer (BC) risk prediction models consider cancer family history (FH) and germline pathogenic variants (PVs) in risk genes. It remains elusive to what extent complementation with polygenic risk score (PRS) and non-genetic risk factor (NGRFs) data affects individual intensified breast surveillance (IBS) recommendations according to European guidelines.

Methods

For 425 cancer-free women with cancer FH (mean age 40·6 years, range 21-74), recruited in France, Germany and the Netherlands, germline PV status, NGRFs, and a 306 variant-based PRS (PRS₃₀₆) were assessed to calculate estimated lifetime risks (eLTR) and estimated 10-year risks (e10YR) using CanRisk. The proportions of women changing country-specific European risk categories for IBS recommen

SUBMITTER: Tuchler A 

PROVIDER: S-EPMC10749276 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature