Targeting Metabolic Vulnerabilities in Glioblastoma: a Framework for Multi-node Combination Therapy

Vishal Gokani1, Anuhya Kotta1, Venkata Repaka2

  • 1Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Current Oncology Reports
|February 20, 2026
PubMed
Abstract

Insights

Targeting cancer cell metabolism offers a promising adjuvant therapy for glioblastoma (GBM). Combination metabolic therapies show synergistic effects by overcoming resistance mechanisms, suggesting improved patient outcomes with further clinical trials.

Area of Science:

  • Oncology
  • Metabolic Pathways
  • Cancer Therapeutics

Background:

  • Glioblastoma (GBM) presents a poor prognosis with standard treatments.
  • Targeted metabolic therapy is being explored as an adjuvant treatment for GBM.

Purpose of the Study:

  • To review the rationale for metabolic therapy in GBM.
  • To identify resistance mechanisms to metabolic therapies.
  • To explore synergistic combination strategies for metabolic therapy in GBM.

Main Methods:

  • Literature review of preclinical and clinical studies on metabolic therapy in GBM.
  • Analysis of metabolic pathways critical for GBM cell survival and proliferation.
  • Evaluation of resistance mechanisms and combination strategies.

Main Results:

  • Individual targeting of metabolic enzymes (glycolysis, glutaminolysis, lipid metabolism, etc.) shows promise in preclinical studies.
  • GBM cells develop resistance to monotherapy by utilizing alternative metabolic pathways.
  • Combination metabolic therapies targeting multiple nodes synergistically inhibit tumor growth and bypass resistance.

Conclusions:

  • Metabolic monotherapy has limited success in GBM due to resistance.
  • Synergistic combination metabolic therapies are more promising for overcoming resistance.
  • Combination regimens delivered with standard care may improve patient outcomes, warranting larger clinical trials.