Kinase mutations and imatinib response in patients with metastatic gastrointestinal stromal tumor

Michael C Heinrich1, Christopher L Corless, George D Demetri

  • 1R&D-19 3710 SW US Veterans Hospital Rd, Portland, OR 97207, USA. heinrich@ohsu.edu

Abstract

Insights

Activating mutations in KIT or PDGFRA kinases drive most gastrointestinal stromal tumors (GISTs). Specific KIT mutations, particularly in exon 11, predict a significantly better response to imatinib therapy in advanced GIST patients.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacogenomics

Background:

  • Gastrointestinal stromal tumors (GISTs) are often driven by activating mutations in KIT or platelet-derived growth factor receptor alpha (PDGFRA) kinases.
  • These mutations represent key therapeutic targets for imatinib mesylate treatment in advanced GIST.

Purpose of the Study:

  • To investigate the correlation between specific KIT and PDGFRA mutations and clinical response to imatinib in patients with advanced GIST.
  • To determine if the mutational status of these kinases can predict treatment outcomes.

Main Methods:

  • Analysis of KIT and PDGFRA mutations in GIST samples from 127 patients treated with imatinib in a phase II clinical study.
  • Correlation of identified mutation types with clinical outcomes, including response rates and survival.

Main Results:

  • Activating mutations in KIT (88.2%) and PDGFRA (4.7%) were identified in the majority of GISTs.
  • GISTs with exon 11 KIT mutations showed a high partial response rate (83.5%) to imatinib, significantly higher than those with exon 9 KIT mutations (47.8%) or no detectable mutation (0%).
  • Patients with exon 11 KIT mutations experienced longer event-free and overall survival compared to other mutation groups.

Conclusions:

  • The mutational status of KIT and PDGFRA is a significant predictor of clinical response to imatinib in GIST.
  • While most KIT mutations are sensitive to imatinib, PDGFRA mutations can also confer sensitivity in GISTs lacking KIT mutations.

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