Evidence map›Paper›PMID 41718834›Full record

ReviewCurrent oncology reports2026

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

Vishal Gokani, Anuhya Kotta, Venkata Repaka, Sukanya Rauniyar, Evan K Noch

Abstract readReview
In one paragraph

Review in Current oncology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Vishal GokaniDepartment of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Anuhya KottaDepartment of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Venkata RepakaDepartment of Hematology and Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Sukanya RauniyarDepartment of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Evan K NochDepartment of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA. Evan.Noch@UTSouthwestern.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewWhile glioblastoma (GBM) exhibits a poor prognosis despite standard therapy, targeted metabolic therapy is promising as adjuvant therapy. The purpose of this review is to delineate the rationale behind metabolic therapy, the bypass mechanisms conferring resistance to each therapy, and potential synergistic combination strategies. RECENT

findingsCritical enzymes in glycolysis, glutaminolysis, lipid metabolism, nucleotide synthesis, and mitochondrial metabolism are promising individual targets of metabolic therapy and lead to cell death in preclinical studies. However, with metabolic monotherapy, GBM cells can rely on other isoforms or switch to alternative pathways for energy production and biosynthesis. Preclinical studies show that targeting multiple metabolic nodes with combination therapy blocks these resistance pathways and synergistically inhibits tumor growth. While metabolic monotherapies exhibit limited success, synergistic combination therapies may bypass resistance mechanisms and are more promising. Combination therapies delivered with standard of care may improve patient outcomes, and larger clinical trials are needed to establish the use of combination regimens to improve overall survival.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBrain NeoplasmsGlioblastomaAnimalsDrug Resistance, NeoplasmGlycolysisHumansMitochondriaMolecular Targeted TherapyCombination therapyGlioblastomaGlutaminolysisGlycolysisLipid metabolismMetabolic therapyMitochondrial metabolismNucleotide synthesisRedox stress

Identifiers

PMID41718834
PMCPMC12923475

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.