Multigene panel testing in unselected Israeli breast cancer cases: mutational spectrum and use of BRCA1/2 mutation prediction algorithms

Rinat Bernstein-Molho, Amihood Singer, Yael Laitman, Iris Netzer, Shelley Zalmanoviz, Eitan Friedman*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Background: Studies assessing the contribution of non-BRCA1/2 gene mutations to inherited breast cancer (BC) predisposition consistently reported low (up to 4%) yield. The current study aimed at assessing the spectrum of non-BRCA mutations in unselected Israeli BC cases and the utility of BRCAPRO and Penn II models, as tools for prediction of detecting non-BRCA1/2 mutations in Israeli BC patients who tested negative for the predominant Jewish BRCA1/2 mutations. Methods: All consecutive Jewish Israeli BC patients at the Sheba Medical center who tested negative for the predominant BRCA1/2 mutations and elected to perform multigene panel testing were included. For each patient probability of BRCA mutation detection was calculated by the Penn II algorithm and the BRCAPRO tool. Results: Overall, 144 cases were included (median age at diagnosis was 48, range 20–73 years); 48% were Ashkenazim. One patient harbored a non-founder BRCA1 mutation (c.5434C>G; p.P1812A). Pathogenic/likely pathogenic (P/LP) mutations in non-BRCA1/2 genes were detected in additional 14/144 patients, including CHEK2 (n = 5), RAD51D (n = 2), MSH6 (n = 2), and one each in ATM, RET, TP53, NBN, and BAP1. Using a cutoff of 15% probability of BRCA mutation detection, both models accurately predicted the observed carrier rate of non-BRCA mutations. Conclusions: In unselected Jewish Israeli BC patients, the rate of detecting non-founder BRCA1/2 mutations is low, with CHEK2 mutations detected in 3.4% of cases. BRCA1/2 mutation prediction models may be utilized for selecting patients eligible for further multigene panel testing after exclusion of predominant BRCA1/2 mutations.

Original languageEnglish
Pages (from-to)165-170
Number of pages6
JournalBreast Cancer Research and Treatment
Volume176
Issue number1
DOIs
StatePublished - 15 Jul 2019

Keywords

  • Breast cancer
  • Cancer susceptibility genes
  • Non-BRCA1/2
  • Prediction models

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