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

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

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Autores principales: Park, Joonhong, Yoo, Han Mo, Sul, Hae Jung, Shin, Soyoung, Lee, Seung Woo, Kim, Jeong Goo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Gastric Cancer Association 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105413/
https://www.ncbi.nlm.nih.gov/pubmed/32269842
http://dx.doi.org/10.5230/jgc.2020.20.e2
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author Park, Joonhong
Yoo, Han Mo
Sul, Hae Jung
Shin, Soyoung
Lee, Seung Woo
Kim, Jeong Goo
author_facet Park, Joonhong
Yoo, Han Mo
Sul, Hae Jung
Shin, Soyoung
Lee, Seung Woo
Kim, Jeong Goo
author_sort Park, Joonhong
collection PubMed
description PURPOSE: Gastrointestinal stromal tumors (GISTs) frequently harbor activating gene mutations in either KIT or platelet-derived growth factor receptor A (PDGFRA) 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. MATERIALS AND METHODS: 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. RESULTS: 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. KIT variants were most frequent (44%, 19/43), followed by 6 variants in PIK3CA, 3 in PDGFRA, 2 each in JAK1 and EGFR, and 1 each in AKT1, ALK, CCND1, CTNNB1, FGFR3, FGFR4, GNA11, GNAQ, JAK3, MET, and SMO. 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. CONCLUSIONS: 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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spelling pubmed-71054132020-04-08 Genetic Characterization of Molecular Targets in Korean Patients with Gastrointestinal Stromal Tumors Park, Joonhong Yoo, Han Mo Sul, Hae Jung Shin, Soyoung Lee, Seung Woo Kim, Jeong Goo J Gastric Cancer Original Article PURPOSE: Gastrointestinal stromal tumors (GISTs) frequently harbor activating gene mutations in either KIT or platelet-derived growth factor receptor A (PDGFRA) 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. MATERIALS AND METHODS: 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. RESULTS: 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. KIT variants were most frequent (44%, 19/43), followed by 6 variants in PIK3CA, 3 in PDGFRA, 2 each in JAK1 and EGFR, and 1 each in AKT1, ALK, CCND1, CTNNB1, FGFR3, FGFR4, GNA11, GNAQ, JAK3, MET, and SMO. 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. CONCLUSIONS: 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. The Korean Gastric Cancer Association 2020-03 2019-12-27 /pmc/articles/PMC7105413/ /pubmed/32269842 http://dx.doi.org/10.5230/jgc.2020.20.e2 Text en Copyright © 2020. Korean Gastric Cancer Association https://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Park, Joonhong
Yoo, Han Mo
Sul, Hae Jung
Shin, Soyoung
Lee, Seung Woo
Kim, Jeong Goo
Genetic Characterization of Molecular Targets in Korean Patients with Gastrointestinal Stromal Tumors
title Genetic Characterization of Molecular Targets in Korean Patients with Gastrointestinal Stromal Tumors
title_full Genetic Characterization of Molecular Targets in Korean Patients with Gastrointestinal Stromal Tumors
title_fullStr Genetic Characterization of Molecular Targets in Korean Patients with Gastrointestinal Stromal Tumors
title_full_unstemmed Genetic Characterization of Molecular Targets in Korean Patients with Gastrointestinal Stromal Tumors
title_short Genetic Characterization of Molecular Targets in Korean Patients with Gastrointestinal Stromal Tumors
title_sort genetic characterization of molecular targets in korean patients with gastrointestinal stromal tumors
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105413/
https://www.ncbi.nlm.nih.gov/pubmed/32269842
http://dx.doi.org/10.5230/jgc.2020.20.e2
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