Ontology highlight
ABSTRACT: Introduction
The distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline mutation carriers differs from that of individuals with no known mutation. Histopathological features thus have utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical modeling.Methods
Selection criteria for study/center inclusion were estrogen receptor (ER) status or
SUBMITTER: Spurdle AB
PROVIDER: S-EPMC4352262 | biostudies-literature | 2014 Dec
REPOSITORIES: biostudies-literature