Predictors of tumor progression among children with gangliogliomas. Clinical article

Mostafa El Khashab1, Lynn Gargan, Linda Margraf

  • 1Department of Neurosurgery, Advanced Neurosurgery Associates, Hackensack University Medical Center, New Jersey, USA.

Insights

Pediatric low-grade gangliogliomas have good outcomes, with 5-year progression-free survival at 81.2%. Seizures at presentation, cerebral hemisphere location, and complete resection are linked to better progression-free survival in children.

Area of Science:

  • Pediatric neuro-oncology
  • Childhood brain tumors
  • Tumor progression and survival analysis

Background:

  • Gangliogliomas are rare primary brain tumors in children.
  • Limited data exists on prognostic factors and outcomes for pediatric gangliogliomas.
  • Understanding factors influencing tumor progression is crucial for treatment planning.

Purpose of the Study:

  • To determine the progression-free survival (PFS) in children with low-grade gangliogliomas.
  • To identify prognostic factors associated with tumor progression in this pediatric population.

Main Methods:

  • Retrospective study of 38 children diagnosed with low-grade gangliogliomas between 1986 and 2006.
  • Analysis of treatment modalities including surgery, radiation therapy, and chemotherapy.
  • Kaplan-Meier survival analysis and Cox regression modeling to identify risk factors for progression.

Main Results:

  • The 5-year progression-free survival (PFS) was calculated to be 81.2%.
  • Factors associated with prolonged PFS included initial presentation with seizures, tumor location in the cerebral hemisphere, and complete tumor resection.
  • Cox regression confirmed initial seizures as a significant predictive factor for prolonged PFS.

Conclusions:

  • Children with low-grade gangliogliomas generally have favorable PFS and overall survival.
  • Tumor location (cerebral hemispheres), complete resection, and seizures at presentation are positive prognostic indicators.
  • Further prospective studies are needed to refine understanding of predictive factors for tumor progression.
Abstract

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