Receptor tyrosine kinase gene amplification is predictive of intraoperative seizures during glioma resection with

Bryan D Choi1, Daniel K Lee1, Jimmy C Yang1

  • 1Departments of1Neurosurgery and.

Abstract

Insights

Intraoperative seizures during glioma surgery are linked to specific gene mutations. Amplification of receptor tyrosine kinase (RTK) genes, particularly MET, predicts seizure risk, aiding in surgical planning.

Area of Science:

  • Neurosurgery
  • Neuro-oncology
  • Molecular Genetics

Background:

  • Intraoperative seizures during craniotomy with functional mapping are a common complication.
  • These seizures can impede optimal tumor resection and increase patient morbidity.
  • The link between glioma genetic mutations and intraoperative seizures is not well understood.

Purpose of the Study:

  • To investigate the relationship between molecular data from gliomas and the incidence of intraoperative seizures.
  • To determine if genetic mutations can predict the occurrence of intraoperative seizures during functional mapping surgery.

Main Methods:

  • Retrospective study of 416 patients undergoing glioma resection with functional mapping (2005-2017).
  • Analysis of clinicopathological characteristics and genetic mutations (IDH1/2, PIK3CA, BRAF, KRAS, AKT1, EGFR, PDGFRA, MET, MGMT, 1p/19q).
  • Statistical evaluation using chi-square, two-sample t-test, and logistic multivariate analysis.

Main Results:

  • 98 (24%) patients experienced intraoperative seizures.
  • Preoperative seizure history and antiepileptic drug (AED) use were associated with lower seizure incidence.
  • Amplification of receptor tyrosine kinase (RTK) genes was a significant predictor of seizures (OR 5.47).
  • Multivariate analysis identified amplification of the MET proto-oncogene as the strongest predictor of intraoperative seizures (p < 0.05).

Conclusions:

  • A novel association exists between genetic alterations in RTKs and intraoperative seizures during glioma resection.
  • Genetic markers, particularly MET amplification, can enhance models for estimating intraoperative seizure risk.
  • Incorporating molecular data into risk assessment may improve surgical outcomes and patient safety.

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