Evidence map›Paper›PMID 35912242›Full record

ReviewFrontiers in oncology2022

Metabolic Rewiring in Glioblastoma Cancer:

Abdellatif El Khayari, Najat Bouchmaa, Bouchra Taib, Zhiyun Wei, Ailiang Zeng, Rachid El Fatimy

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
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  7. Targeting BRD4-A Promising Therapeutic Option for Glioblastoma?International journal of molecular sciences · 2026
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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

6 authors at 4 institutions in 3 countries.

Abdellatif El KhayariInstitute of Biological Sciences (ISSB-P), Mohammed VI Polytechnic University (UM6P), Ben-Guerir, Morocco.
Najat BouchmaaInstitute of Biological Sciences (ISSB-P), Mohammed VI Polytechnic University (UM6P), Ben-Guerir, Morocco.
Bouchra TaibInstitute of Sport Professions (IMS), Ibn Tofail University, Avenida de l'Université, Kenitra, Morocco.
Zhiyun WeiShanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Ailiang ZengDepartment of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Rachid El FatimyInstitute of Biological Sciences (ISSB-P), Mohammed VI Polytechnic University (UM6P), Ben-Guerir, Morocco.
Université Mohammed VI Polytechnique · MAShanghai First Maternity and Infant Hospital · CNThe University of Texas MD Anderson Cancer Center · USUniversité Ibn-Tofail · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma multiforme (GBM), a highly invasive and incurable tumor, is the humans' foremost, commonest, and deadliest brain cancer. As in other cancers, distinct combinations of genetic alterations (GA) in GBM induce a diversity of metabolic phenotypes resulting in enhanced malignancy and altered sensitivity to current therapies. Furthermore, GA as a hallmark of cancer, dysregulated cell metabolism in GBM has been recently linked to the acquired GA. Indeed, Numerous point mutations and copy number variations have been shown to drive glioma cells' metabolic state, affecting tumor growth and patient outcomes. Among the most common, IDH mutations, EGFR amplification, mutation, PTEN loss, and MGMT promoter mutation have emerged as key patterns associated with upregulated glycolysis and OXPHOS glutamine addiction and altered lipid metabolism in GBM. Therefore, current Advances in cancer genetic and metabolic profiling have yielded mechanistic insights into the metabolism rewiring of GBM and provided potential avenues for improved therapeutic modalities. Accordingly, actionable metabolic dependencies are currently used to design new treatments for patients with glioblastoma. Herein, we capture the current knowledge of genetic alterations in GBM, provide a detailed understanding of the alterations in metabolic pathways, and discuss their relevance in GBM therapy.

Indexed as

GBMgenetic alterationglioma therapyglycolysismetabolic genes

Identifiers

PMID35912242
PMCPMC9329787
OpenAlexW4285390325

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.