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Updated: May 27, 2026

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
Published on: September 20, 2016
Mutational landscape of gastrointestinal stromal tumors using next-generation sequencing of a 73-gene panel
Chang Wang1,2, Baosen Cheng1,2, Shuya Yang1,2
1Department of Gastrointestinal Surgery, Peking UniversityPeoplès Hospital, Beijing, China.
Purpose:
Mutational analysis guides therapeutic decision-making for patients with advanced-stage gastrointestinal stromal tumors (GISTs).
Materials And Methods:
A total of 491 patients with GISTs were retrospectively included, and their genomic profiles were determined by targeted NGS of 73 or 1,021 gene panels.
Results:
KIT mutations were identified in 84.7% (416/491) of patients with GISTs, and PDGFRA mutations were identified in 4.5% (22/491) of patients. Among the patients with KIT mutant-GISTs, most had KIT mutations in exon 11 (81.3%, 338/416). PDGFRA mutations were located mainly in exon 18 (77.3%, 17/22). In the remaining 11% of patients with GISTs without KIT or PDGFRA mutations (wild-type GISTs), BRAF and NF1 were the most commonly mutated genes. Compared with KIT/PDGFRA-mutant GISTs, wild-type GISTs were associated with younger age, a greater proportion of female patients, and lower levels of copy number variations. Notably, the concomitant alterations of KIT/PDGFRA-mutant or wild-type GISTs were similar when sequencing data from a 73-gene panel and a 1,021-gene panel were analyzed. The genetic landscape of patients with treatment-naïve GISTs at different locations was described by using a 73-gene panel, and compared with patients with gastric GISTs, patients with nongastric GISTs had higher levels of copy number variations but a lower proportion of PDGFRA mutations. Analysis of the genomic profiles before and after imatinib treatment revealed KIT T670I mutation, as well as ATM and JAK2 mutations, as potential underlying mechanisms of resistance.
Conclusion:
Using a 73-gene panel, we characterized the molecular characteristics of GISTs and revealed a correlation with their clinical features. Moreover, KIT/PDGFRA-dependent and KIT/PDGFRA-independent mechanisms underlying resistance to imatinib were explored. Overall, our 73-gene panel is sufficient for clinical application in cases of GISTs.
Insights
Genomic profiling of gastrointestinal stromal tumors (GISTs) using a 73-gene panel accurately identifies KIT and PDGFRA mutations. This analysis is crucial for guiding GIST treatment decisions and understanding imatinib resistance mechanisms.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Gastrointestinal stromal tumors (GISTs) are rare sarcomas.
- Accurate molecular profiling is essential for targeted therapy selection in advanced GISTs.
Purpose of the Study:
- To characterize the molecular landscape of GISTs using next-generation sequencing (NGS).
- To correlate genomic alterations with clinical features and identify mechanisms of imatinib resistance.
Main Methods:
- Retrospective analysis of 491 GIST patients.
- Targeted NGS using 73-gene and 1,021-gene panels.
- Analysis of genomic profiles before and after imatinib treatment.
Main Results:
- KIT mutations (84.7%) and PDGFRA mutations (4.5%) were the most common.
- Wild-type GISTs showed distinct clinical features compared to mutant GISTs.
- KIT T670I, ATM, and JAK2 mutations were associated with imatinib resistance.
Conclusions:
- A 73-gene panel is sufficient for clinical characterization of GISTs.
- Molecular profiling aids in understanding GIST subtypes and treatment resistance.
- Identified potential therapeutic targets and resistance mechanisms in GISTs.
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