Lessons learned from contemporary glioblastoma randomized clinical trials through systematic review and network

Shervin Taslimi1, Vincent C Ye1, Gelareh Zadeh1

  • 1Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.

Abstract

Insights

Glioblastoma treatments beyond standard care show potential benefits in overall survival and progression-free survival. However, significant study heterogeneity necessitates better standardization in neuro-oncology research.

Area of Science:

  • Neuro-oncology
  • Clinical trial analysis
  • Malignant brain tumors

Background:

  • Glioblastoma (GB) is the most common and aggressive primary brain tumor.
  • Current standard of care (SOC) offers limited efficacy, leading to a poor prognosis.
  • Novel therapeutic strategies are crucial for improving patient outcomes.

Purpose of the Study:

  • To conduct a network meta-analysis of randomized control trials (RCTs).
  • To evaluate treatments added to SOC for newly diagnosed Glioblastoma.
  • To assess the impact on overall survival (OS) and progression-free survival (PFS).

Main Methods:

  • Included 21 RCTs with 7403 Glioblastoma patients.
  • Utilized a frequentist network meta-analysis to compare treatments.
  • Extracted Hazard Ratios (HR) and 95% Confidence Intervals (CI) for OS and PFS.

Main Results:

  • Significant heterogeneity was observed across studies.
  • Alkylating nitrosoureas (Lomustine, ACNU) and tumor-treating fields improved OS and PFS.
  • Confidence analysis indicated low to very low certainty for treatment comparisons.

Conclusions:

  • No single treatment beyond SOC demonstrated a definitive superiority for newly diagnosed Glioblastoma.
  • Alkylating nitrosoureas and tumor-treating fields showed potential survival benefits.
  • High intertrial heterogeneity underscores the need for improved standardization in neuro-oncology trials.

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