Evidence map›Paper›PMID 35157758›Full record

ArticleNeuro-oncology2022

Distinct metabolic hallmarks of WHO classified adult glioma subtypes.

Benny Björkblom, Carl Wibom, Maria Eriksson, A Tommy Bergenheim, Rickard L Sjöberg, Pär Jonsson, Thomas Brännström, Henrik Antti, Maria Sandström, Beatrice Melin

Open access · hybridAbstract read
In one paragraph

Article in Neuro-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
11.3field-weighted citation impact, top 1% of its field
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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Metabolite ratiomics: Rapid diagnosis and classification of gliomas for intraoperative application during brain surgery.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Oncology letters · 2026
    Article
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  7. Review
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  17. Cerebrospinal Fluid-Derived Genomic Alterations Tracking Glioma.Journal of molecular neuroscience : MN · 2025
    Article
  18. Article
  19. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Benny BjörkblomDepartment of Chemistry, Umeå University, Umeå, Sweden.ORCID 0000-0001-9347-5790
Carl WibomDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
Maria ErikssonDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
A Tommy BergenheimDepartment of Clinical Science, Neuroscience, Umeå University, Umeå, Sweden.
Rickard L SjöbergDepartment of Clinical Science, Neuroscience, Umeå University, Umeå, Sweden.
Pär JonssonDepartment of Chemistry, Umeå University, Umeå, Sweden.
Thomas BrännströmDepartment of Medical Biosciences, Umeå University, Umeå, Sweden.
Henrik AnttiDepartment of Chemistry, Umeå University, Umeå, Sweden.
Maria SandströmDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
Beatrice MelinDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
Umeå University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGliomas are complex tumors with several genetic aberrations and diverse metabolic programs contributing to their aggressive phenotypes and poor prognoses. This study defines key metabolic features that can be used to differentiate between glioma subtypes, with potential for improved diagnostics and subtype targeted therapy.

methodsCross-platform global metabolomic profiling coupled with clinical, genetic, and pathological analysis of glioma tissue from 224 tumors-oligodendroglioma (n = 31), astrocytoma (n = 31) and glioblastoma (n = 162)-were performed. Identified metabolic phenotypes were evaluated in accordance with the WHO classification, IDH-mutation, 1p/19q-codeletion, WHO-grading 2-4, and MGMT promoter methylation.

resultsDistinct metabolic phenotypes separate all six analyzed glioma subtypes. IDH-mutated subtypes, expressing 2-hydroxyglutaric acid, were clearly distinguished from IDH-wildtype subtypes. Considerable metabolic heterogeneity outside of the mutated IDH pathway were also evident, with key metabolites being high expression of glycerophosphates, inositols, monosaccharides, and sugar alcohols and low levels of sphingosine and lysoglycerophospholipids in IDH-mutants. Among the IDH-mutated subtypes, we observed high levels of amino acids, especially glycine and 2-aminoadipic acid, in grade 4 glioma, and N-acetyl aspartic acid in low-grade astrocytoma and oligodendroglioma. Both IDH-wildtype and mutated oligodendroglioma and glioblastoma were characterized by high levels of acylcarnitines, likely driven by rapid cell growth and hypoxic features. We found elevated levels of 5-HIAA in gliosarcoma and a subtype of oligodendroglioma not yet defined as a specific entity, indicating a previously not described role for the serotonin pathway linked to glioma with bimorphic tissue.

conclusionKey metabolic differences exist across adult glioma subtypes.

Indexed as

AstrocytomaBrain NeoplasmsGlioblastomaGliomaOligodendrogliomaHumansIsocitrate DehydrogenaseMutationWorld Health OrganizationIsocitrate Dehydrogenaseastrocytomaglioblastomametabolic reprogrammingoligodendrogliomaWHO classification

Identifiers

PMID35157758
PMCPMC9435506
OpenAlexW4210986386

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.