Multigene panel testing in unselected Israeli breast cancer cases: mutational spectrum and use of BRCA1/2 mutation prediction algorithms.
Breast cancer
Cancer susceptibility genes
Non-BRCA1/2
Prediction models
Journal
Breast cancer research and treatment
ISSN: 1573-7217
Titre abrégé: Breast Cancer Res Treat
Pays: Netherlands
ID NLM: 8111104
Informations de publication
Date de publication:
Jul 2019
Jul 2019
Historique:
received:
09
03
2019
accepted:
08
04
2019
pubmed:
14
4
2019
medline:
26
11
2019
entrez:
14
4
2019
Statut:
ppublish
Résumé
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. 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. 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. 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.
Sections du résumé
BACKGROUND
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
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
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
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.
Identifiants
pubmed: 30980208
doi: 10.1007/s10549-019-05228-6
pii: 10.1007/s10549-019-05228-6
doi:
Substances chimiques
Biomarkers, Tumor
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM