Genetic Characterization of Molecular Targets in Korean Patients with Gastrointestinal Stromal Tumors

Gastrointestinal stromal tumors (GISTs) frequently harbor activating gene mutations in either or platelet-derived growth factor receptor A ( ) and are highly responsive to several selective tyrosine kinase inhibitors. In this study, a targeted next-generation sequencing (NGS) assay with an Oncomine...

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Published inJournal of gastric cancer Vol. 20; no. 1; pp. 29 - 40
Main Authors Park, Joonhong, Yoo, Han Mo, Sul, Hae Jung, Shin, Soyoung, Lee, Seung Woo, Kim, Jeong Goo
Format Journal Article
LanguageEnglish
Published Korea (South) The Korean Gastric Cancer Association 01.03.2020
대한위암학회
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ISSN2093-582X
2093-5641
DOI10.5230/jgc.2020.20.e2

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Summary:Gastrointestinal stromal tumors (GISTs) frequently harbor activating gene mutations in either or platelet-derived growth factor receptor A ( ) and are highly responsive to several selective tyrosine kinase inhibitors. In this study, a targeted next-generation sequencing (NGS) assay with an Oncomine Focus Assay (OFA) panel was used for the genetic characterization of molecular targets in 30 Korean patients with GIST. Using the OFA that enables rapid and simultaneous detection of hotspots, single nucleotide variants (SNVs), insertion and deletions (Indels), copy number variants (CNVs), and gene fusions across 52 genes relevant to solid tumors, targeted NGS was performed using genomic DNA extracted from formalin-fixed and paraffin-embedded samples of 30 GISTs. Forty-three hotspot/other likely pathogenic variants (33 SNVs, 8 Indels, and 2 amplifications) in 16 genes were identified in 26 of the 30 GISTs. variants were most frequent (44%, 19/43), followed by 6 variants in , 3 in , 2 each in and , and 1 each in , , , , , , , , , , and . Based on the mutation types, majority of the variants carried missense mutations (60%, 26/43), followed by 8 frameshifts, 6 nonsense, 1 stop-loss, and 2 amplifications. Our study confirmed the advantage of using targeted NGS with a cancer gene panel to efficiently identify mutations associated with GISTs. These findings may provide a molecular genetic basis for developing new drugs targeting these gene mutations for GIST therapy.
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Joonhong Park and Han Mo Yoo contributed equally to this work.
ISSN:2093-582X
2093-5641
DOI:10.5230/jgc.2020.20.e2