Development and testing of a polygenic risk score for breast cancer aggressiveness.

ABSTRACT: Aggressive breast cancers portend a poor prognosis, but current polygenic risk scores (PRSs) for breast cancer do not reliably predict aggressive cancers. Aggressiveness can be effectively recapitulated using tumor gene expression profiling. Thus, we sought to develop a PRS for the risk of recurrence score weighted on proliferation (ROR-P), an established prognostic signature. Using 2363 breast cancers with tumor gene expression data and single nucleotide polymorphism (SNP) genotypes, we examined the associations between ROR-P and known breast cancer susceptibility SNPs using linear regression models. We constructed PRSs based on varying p-value thresholds and selected the optimal PRS based on model r² in 5-fold cross-validation. We then used Cox proportional hazards regression

SUBMITTER: Shieh Y 

PROVIDER: S-EPMC10185660 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature