Evidence mapPaperPMID 41898581Full record

ReviewInternational journal of molecular sciences2026

Metabolic Landscape and Emerging Therapeutic Potential in Pediatric and Adult Gliomas.

Cayley S Brock, Lam Nguyen, Curtis Pattillo, Cheyenne J Ahamed, Keisaku Sato, Kevin K Kumar

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Cayley S BrockDepartment of Neurosurgery, Dell Medical School, The University of Texas at Austin, Austin, TX 78701, USA.
Lam NguyenDepartment of Neurosurgery, Dell Medical School, The University of Texas at Austin, Austin, TX 78701, USA.
Curtis PattilloDepartment of Neurosurgery, Dell Medical School, The University of Texas at Austin, Austin, TX 78701, USA.
Cheyenne J AhamedDepartment of Neurosurgery, Dell Medical School, The University of Texas at Austin, Austin, TX 78701, USA.
Keisaku SatoDepartment of Neurosurgery, Dell Medical School, The University of Texas at Austin, Austin, TX 78701, USA.
Kevin K KumarDepartment of Neurosurgery, Dell Medical School, The University of Texas at Austin, Austin, TX 78701, USA.ORCID 0000-0002-0704-1492

Funding

CTSA K12 Program at The University of Texas Health Science Center at San AntonioK12TR004529 · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · 2025 to 2025
$957k
NCATS NIH HHS K12TR004529The University of Texas at Austin College of Natural Sciences - Undergraduate Research FellowshipThe University of Texas at Austin Kumar Lab Startup Funding
6 · The paper itself

Abstract

The underlying metabolism of tumor cells in gliomas has become an area of focus secondary to the difficulties in diagnosis and treatment of these tumors. Heterogeneity in both molecular and phenotypic features of tumor cells in pediatric and adult gliomas presents a significant barrier to traditional treatment options such as radiotherapy and chemotherapy. Low-grade gliomas in pediatric and adult populations have relatively high survival rates, while high-grade gliomas have no effective treatments. Recent advancements in metabolomic techniques have uncovered key metabolic abnormalities, such as increased glutamine and creatinine in invasive edge cells and increased purines in viable tumor cells, distinguishing tumor cells in gliomas. Spatial metabolic heterogeneity and metabolic plasticity enable gliomas to adapt to diverse microenvironments and oxidative stress, necessitating precision medicine approaches that target subtype-specific metabolic vulnerabilities. Further, gliomas are characterized by high intratumoral heterogeneity, with metabolic distinctions between core, edge, viable, and necrotic regions. Altered metabolism of tumor cells has an impact on cells within the tumor microenvironment, resulting in a dysfunctional phenotypic state in resident cells. These metabolic abnormalities differentiate tumor cells from the surrounding microenvironment. Enhanced understanding of the metabolic abnormalities in gliomas could inform targeted therapies, increasing therapeutic response in patients. This review synthesizes emerging evidence on intratumoral and intertumoral heterogeneity in gliomas, highlights the role of tumor-immune cell crosstalk in shaping the metabolic landscape, and discusses how these vulnerabilities may be exploited to develop novel therapies.

Indexed as

Brain NeoplasmsGliomaAdultAnimalsChildHumansMetabolic ReprogrammingMetabolomeMetabolomicsTumor Microenvironmentcancer metabolismglioma metabolismmetabolic dysregulationmetabolic heterogeneitymetabolomics

Identifiers

PMID41898581
PMCPMC13026177

What Socratic holds

Textmetadata
LicenceCC BY
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.