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Variants of cancer susceptibility genes in Korean BRCA1/2 mutation-negative patients with high risk for hereditary breast cancer

Overview of attention for article published in BMC Cancer, January 2018
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Title
Variants of cancer susceptibility genes in Korean BRCA1/2 mutation-negative patients with high risk for hereditary breast cancer
Published in
BMC Cancer, January 2018
DOI 10.1186/s12885-017-3940-y
Pubmed ID
Authors

Ji Soo Park, Seung-Tae Lee, Eun Ji Nam, Jung Woo Han, Jung-Yun Lee, Jieun Kim, Tae Il Kim, Hyung Seok Park

Abstract

We evaluated the incidence and spectrum of pathogenic and likely pathogenic variants of cancer susceptibility genes in BRCA1/2 mutation-negative Korean patients with a high risk for hereditary breast cancer using a comprehensive multigene panel that included 35 cancer susceptibility genes. Samples from 120 patients who were negative for BRCA1/2 mutations, but had been diagnosed with breast cancer that was likely hereditary, were prospectively evaluated for the prevalence of high-penetrance and moderate-penetrance germline mutations. Nine patients (7.5%) had at least one pathogenic or likely pathogenic variant. Ten variants were identified in these patients: TP53 in two patients, PALB2 in three patients, BARD1 in two patients, BRIP1 in two patients, and MRE11A in one patient. We also identified 30 types of 139 variants of unknown significance (VUS). High-penetrance germline mutations, including TP53 and PALB2, tended to occur with high frequency in young (< 35 years) breast cancer patients (4/19, 21.1%) than in those diagnosed with breast cancer at ≥35 years of age (1/101, 1.0%; p = 0.003). These combined results demonstrate that multigene panels offer an alternative strategy for identifying veiled pathogenic and likely pathogenic mutations in breast cancer susceptibility genes.

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Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 14%
Student > Bachelor 5 12%
Other 4 9%
Researcher 4 9%
Student > Doctoral Student 4 9%
Other 10 23%
Unknown 10 23%
Readers by discipline Count As %
Medicine and Dentistry 11 26%
Biochemistry, Genetics and Molecular Biology 10 23%
Nursing and Health Professions 2 5%
Unspecified 2 5%
Agricultural and Biological Sciences 2 5%
Other 3 7%
Unknown 13 30%