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Exon splicing analysis of intronic variants in multigene cancer panel testing for hereditary breast/ovarian cancer

Authors :
Jin-Sun Ryu
Han-Sung Kang
Sun-Young Kong
Myong Cheol Lim
Seeyoun Lee
Dong Ock Lee
Kyong-Ah Yoon
Min-Kyeong Kim
Eun Sook Lee
Jungnam Joo
Hyeyoung Lee
Eun Hae Cho
Source :
Cancer Science
Publication Year :
2020

Abstract

The use of multigene panel testing for patients with a predisposition to breast/ovarian cancer is increasing as the identification of variants is useful for diagnosis and disease management. We identified pathogenic and likely pathogenic (P/LP) variants of high‐and moderate‐risk genes using a 23‐gene germline cancer panel in 518 patients with hereditary breast and ovarian cancers (HBOC). The frequency of P/LP variants was 12.4% (64/518) for high‐ and moderate‐penetrant genes, namely, BRCA2 (5.6%), BRCA1 (3.3%), CHEK2 (1.2%), MUTYH (0.8%), PALB2 (0.8%), MLH1 (0.4%), ATM (0.4%), BRIP1 (0.4%), TP53 (0.2%), and PMS2 (0.2%). Five patients possessed two P/LP variants in BRCA1/2 and other genes. We also compared the results from in silico splicing predictive tools and exon splicing patterns from patient samples by analyzing RT‐PCR product sequences in six P/LP intronic variants and two intronic variants of unknown significance (VUS). Altered transcriptional fragments were detected for P/LP intronic variants in BRCA1, BRIP1, CHEK2, PARB2, and PMS2. Notably, we identified an in‐frame deletion of the BRCA1 C‐terminal (BRCT) domain by exon skipping in BRCA1 c.5152+6T>C—as known VUS—indicating a risk for HBOC. Thus, exon splicing analysis can improve the identification of veiled intronic variants that would aid decision making and determination of hereditary cancer risk.<br />This study identified 12.4% (64/518) pathogenic or likely pathogenic (P/LP) variants using a comprehensive multi‐gene panel including 23 cancer susceptibility genes and analyzed the pathogenic effects in the intronic variants identified by analyzing exon splicing patterns. These analyses would help further identify the uncharacterized variants that are expected to increase hereditary breast/ovarian cancer risk.

Details

ISSN :
13497006
Volume :
111
Issue :
10
Database :
OpenAIRE
Journal :
Cancer science
Accession number :
edsair.doi.dedup.....f176a9104749684476257f7649418253