The Contribution of Germline Predisposition Gene Mutations to Clinical Subtypes of Invasive Breast Cancer from a Clinical Genetic Testing Cohort

Chunling Hu, Eric C. Polley, Siddhartha Yadav, Jenna Lilyquist, Hermela Shimelis, Jie Na, Steven N. Hart, David E. Goldgar, Swati Shah, Tina Pesaran, Jill S. Dolinsky, Holly Laduca, Fergus J. Couch

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Background: The germline cancer predisposition genes associated with increased risk of each clinical subtype of breast cancer, defined by estrogen receptor (ER), progesterone receptor (PR), and HER2, are not well defined. Methods: A total of 54 555 invasive breast cancer patients with 56 480 breast tumors were subjected to clinical hereditary cancer multigene panel testing. Heterogeneity for predisposition genes across clinical breast cancer subtypes was assessed by comparing mutation frequencies by gene among tumor subtypes and by association studies between each tumor subtype and reference controls. Results: Mutations in 15 cancer predisposition genes were detected in 8.6% of patients with ER+/HER2-; 8.9% with ER+/HER2+; 7.7% with ER-/HER2+; and 14.4% of ER-/PR-/HER2- tumors. BRCA1, BRCA2, BARD1, and PALB2 mutations were enriched in ER- and HER2- tumors; RAD51C and RAD51D mutations were enriched in ER- tumors only; TP53 mutations were enriched in HER2+ tumors, and ATM and CHEK2 mutations were enriched in both ER+ and/or HER2+ tumors. All genes were associated with moderate (odds ratio > 2.00) or strong (odds ratio > 5.00) risks of at least one subtype of breast cancer in case-control analyses. Mutations in ATM, BARD1, BRCA1, BRCA2, CHEK2, PALB2, RAD51C, RAD51D, and TP53 had predicted lifetime absolute risks of at least 20.0% for breast cancer. Conclusions: Germline mutations in hereditary cancer panel genes confer subtype-specific risks of breast cancer. Combined tumor subtype, age at breast cancer diagnosis, and family history of breast and/or ovarian cancer information provides refined categorical estimates of mutation prevalence for women considering genetic testing.

Original languageEnglish (US)
Pages (from-to)1231-1241
Number of pages11
JournalJournal of the National Cancer Institute
Volume112
Issue number12
DOIs
StatePublished - Dec 1 2020

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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