Mutational spectrum and classification of novel mutations in patients with metastatic gastrointestinal stromal

Alenka Bombac1, Branko Zakotnik2, Marina Bucic1

  • 1Department of Molecular Diagnostics, Institute of Oncology, Ljubljana 1000, Slovenia.

Insights

Molecular characterization of gastrointestinal stromal tumors (GISTs) in Slovenian patients revealed common KIT and PDGFRA mutations. Eight novel KIT exon 11 mutations were identified, impacting GIST treatment strategies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Malignant gastrointestinal stromal tumors (GISTs) often harbor KIT or PDGFRA mutations, influencing treatment response to tyrosine kinase inhibitors.
  • Understanding GIST genotype is crucial for effective patient management and personalized therapy.
  • A significant subset of GISTs lack detectable KIT/PDGFRA mutations, suggesting alternative genetic alterations.

Purpose of the Study:

  • To molecularly characterize a cohort of 70 metastatic GIST patients from Slovenia.
  • To identify mutations in KIT, PDGFRA, and other relevant genes (KRAS, NRAS, BRAF, PIK3CA, AKT1) in GIST cases.
  • To classify novel variants according to established guidelines for potential clinical significance.

Main Methods:

  • Direct Sanger sequencing was employed to analyze specific exons of the KIT (9, 11, 13, 17) and PDGFRA (12, 14, 18) genes.
  • KIT/PDGFRA wild-type GISTs underwent testing for mutations in hot spot regions of KRAS, NRAS, BRAF, PIK3CA, and AKT1.
  • Novel variants were characterized and classified using Cancer Genome Interpreter and ACMG/AMP guidelines.

Main Results:

  • Mutations in KIT were identified in 85.7% of patients (n=60), and in PDGFRA in 2.9% (n=2).
  • KIT exon 11 mutations were most frequent (n=52), with 40 distinct mutations detected, including eight novel variants classified as likely pathogenic drivers.
  • 11.4% of GIST cases (n=8) had no mutations in the analyzed KIT or PDGFRA genes. Secondary KIT mutations and a double PDGFRA mutation were also observed.

Conclusions:

  • The mutation frequencies in Slovenian GIST patients align with those reported in other European populations.
  • KIT exon 11 mutations are the predominant driver in this cohort, with newly identified variants potentially impacting therapeutic strategies.
  • Comprehensive molecular profiling is essential for understanding GIST heterogeneity and guiding treatment decisions.

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