Evidence map›Paper›PMID 30476237›Full record

ArticleNeuro-oncology2019

Integrative cross-platform analyses identify enhanced heterotrophy as a metabolic hallmark in glioblastoma.

Antony H Prabhu, Shiva Kant, Pravin Kesarwani, Kamran Ahmed, Peter Forsyth, Ichiro Nakano, Prakash Chinnaiyan

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

29 citing papers in PubMed, 45 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Antony H PrabhuRadiation Oncology, Beaumont Health, Royal Oak, Michigan.
Shiva KantRadiation Oncology, Beaumont Health, Royal Oak, Michigan.
Pravin KesarwaniRadiation Oncology, Beaumont Health, Royal Oak, Michigan.
Kamran AhmedRadiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Peter ForsythNeuro-oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Ichiro NakanoNeurosurgery, University of Alabama, Birmingham, Alabama.
Prakash ChinnaiyanNeurosurgery, University of Alabama, Birmingham, Alabama.
Beaumont Health · USMoffitt Cancer Center · USOakland University · USUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough considerable progress has been made in understanding molecular alterations driving gliomagenesis, the diverse metabolic programs contributing to the aggressive phenotype of glioblastoma remain unclear. The aim of this study was to define and provide molecular context to metabolic reprogramming driving gliomagenesis.

methodsIntegrative cross-platform analyses coupling global metabolomic profiling with genomics in patient-derived glioma (low-grade astrocytoma [LGA; n = 28] and glioblastoma [n = 80]) were performed. Identified programs were then metabolomically, genomically, and functionally evaluated in preclinical models.

resultsClear metabolic programs were identified differentiating LGA from glioblastoma, with aberrant lipid, peptide, and amino acid metabolism representing dominant metabolic nodes associated with malignant transformation. Although the metabolomic profiles of glioblastoma and LGA appeared mutually exclusive, considerable metabolic heterogeneity was observed in glioblastoma. Surprisingly, integrative analyses demonstrated that O6-methylguanine-DNA methyltransferase methylation and isocitrate dehydrogenase mutation status were equally distributed among glioblastoma metabolic profiles. Transcriptional subtypes, on the other hand, tightly clustered by their metabolomic signature, with proneural and mesenchymal tumor profiles being mutually exclusive. Integrating these metabolic phenotypes with gene expression analyses uncovered tightly orchestrated and highly redundant transcriptional programs designed to support the observed metabolic programs by actively importing these biochemical substrates from the microenvironment, contributing to a state of enhanced metabolic heterotrophy. These findings were metabolomically, genomically, and functionally recapitulated in preclinical models.

conclusionDespite disparate molecular pathways driving the progression of glioblastoma, metabolic programs designed to maintain its aggressive phenotype remain conserved. This contributes to a state of enhanced metabolic heterotrophy supporting survival in diverse microenvironments implicit in this malignancy.

Indexed as

CarcinogenesisLipid MetabolismMetabolomicsAmino AcidsAstrocytomaBrain NeoplasmsCellular ReprogrammingDNA MethylationDNA Modification MethylasesDNA Repair EnzymesGene Expression ProfilingGlioblastomaHumansIsocitrate DehydrogenaseMutationNeoplasm GradingAmino AcidsDNA Modification MethylasesDNA Repair EnzymesIsocitrate DehydrogenaseMGMT protein, humanPeptidesTumor Suppressor Proteinsgenomicsglioblastomaintegrative analysesintratumoral heterogeneitymetabolomics

Identifiers

PMID30476237
PMCPMC6380409
OpenAlexW2900028734

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.