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Updated: May 13, 2026

Molecular and Immunologic Techniques in a Genetically Engineered Mouse Model of Gastrointestinal Stromal Tumor
Published on: May 2, 2022
Secondary mutations of c-KIT contribute to acquired resistance to imatinib and decrease efficacy of sunitinib in
1Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of GI Oncology, Peking University Cancer Hospital and Institute, No. 52, Fucheng Road, Haidian District, Beijing 100142, China.
Abstract:
The aim of this study was to investigate the associations between secondary mutations of c-KIT/PDGFRα and acquired imatinib resistance or efficacy of sunitinib in Chinese patients with gastrointestinal stromal tumors (GISTs). Mutations of c-KIT (exons 9, 11, 13, 14, 17, and 18) and PDGFRα (exons 12 and 18) in tumor samples of 50 patients were analyzed by direct sequencing. A total of 50 samples before imatinib and 52 samples after imatinib were collected. Among 52 samples after imatinib, 38 samples were imatinib resistant and 14 samples were imatinib sensitive. All patients before imatinib treatment had primary mutations of c-KIT exon 11 (n = 45) or exon 9 (n = 5), and no PDGFRα mutations were found in these patients. After imatinib treatment, 25 of 38 (65.8 %) resistant tumors had secondary mutations in c-KIT exon 13 (n = 10), exon 14 (n = 1), exon 17 (n = 12) and exon 18 (n = 2), while no secondary mutations of c-KIT were found in 14 sensitive tumors (P < 0.001), indicating the close association of c-KIT secondary mutations with imatinib-acquired resistance. In our study, 19 patients received sunitinib treatment after the failure of imatinib, and it seemed that the median progression-free survival (7 vs. 19 months, P = 0.244) in patients with secondary mutations (n = 13) was lower than that in patients without secondary mutations (n = 6). Secondary mutations of c-KIT were significantly associated with acquired resistance to imatinib in Chinese GIST patients, and whether secondary mutations of c-KIT could influence the efficacy of sunitinib needed to be further investigated.
Insights
Secondary c-KIT mutations are strongly linked to imatinib resistance in Chinese gastrointestinal stromal tumors (GIST) patients. Further research is needed to determine if these mutations impact sunitinib efficacy.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Gastrointestinal stromal tumors (GISTs) are often driven by mutations in c-KIT or PDGFRα.
- Imatinib is a targeted therapy, but acquired resistance is a significant clinical challenge.
- Understanding the genetic basis of resistance is crucial for optimizing GIST treatment.
Purpose of the Study:
- To investigate the association between secondary mutations in c-KIT and PDGFRα and the development of imatinib resistance in Chinese GIST patients.
- To explore the potential impact of these secondary mutations on the efficacy of sunitinib treatment following imatinib failure.
Main Methods:
- Direct sequencing was used to analyze c-KIT (exons 9, 11, 13, 14, 17, 18) and PDGFRα (exons 12, 18) mutations in 50 GIST patient samples.
- Tumor samples were collected before and after imatinib treatment to identify primary and secondary mutations.
- Patient outcomes, including imatinib resistance and response to sunitinib, were correlated with mutation status.
Main Results:
- All patients initially presented with primary c-KIT mutations (exon 11 or 9); no PDGFRα mutations were detected.
- Secondary c-KIT mutations were identified in 65.8% of imatinib-resistant tumors but in none of the imatinib-sensitive tumors (P < 0.001).
- Patients with secondary mutations showed a trend towards shorter progression-free survival on sunitinib (7 vs. 19 months), though not statistically significant (P = 0.244).
Conclusions:
- Secondary c-KIT mutations are significantly associated with acquired resistance to imatinib in Chinese GIST patients.
- The role of secondary c-KIT mutations in predicting sunitinib efficacy requires further investigation.
- Identifying secondary mutations could aid in predicting treatment response and guiding subsequent therapy choices in GIST.
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