Refined histopathological predictors of BRCA1 and BRCA2 mutation status: A large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia Academic Article uri icon

Overview

MeSH Major

  • Breast Neoplasms
  • Carcinoma
  • Genes, BRCA1
  • Genes, BRCA2
  • Triple Negative Breast Neoplasms

abstract

  • These results refine likelihood-ratio estimates for predicting BRCA1 and BRCA2 mutation status by using commonly measured histopathological features. Age at diagnosis is an important variable for most analyses, and grade is more informative than ER status for BRCA2 mutation carrier prediction. The estimates will improve BRCA1 and BRCA2 variant classification and inform patient mutation testing and clinical management.

authors

publication date

  • December 23, 2014

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC4352262

Digital Object Identifier (DOI)

  • 10.1186/s13058-014-0474-y

PubMed ID

  • 25857409

Additional Document Info

start page

  • 3419

volume

  • 16

number

  • 1