Evidence map›Paper›PMID 39272024›Full record

ArticleBMC neurology2024

Energy metabolism-related GLUD1 contributes to favorable clinical outcomes of IDH-mutant glioma.

Renzhi Deng, Jianying Qin, Lei Wang, Haibin Li, Ning Wen, Ke Qin, Jianhui Dong, Jihua Wu, Dandan Zhu, Xuyong Sun

Abstract read
In one paragraph

Article in BMC neurology, 2024. 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. Article
  2. 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

10 authors.

Renzhi DengTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, No.166 Daxuedong Road, Nanning, Guangxi, 530007, P.R. China.
Jianying QinTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, No.166 Daxuedong Road, Nanning, Guangxi, 530007, P.R. China.
Lei WangTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, No.166 Daxuedong Road, Nanning, Guangxi, 530007, P.R. China.
Haibin LiTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, No.166 Daxuedong Road, Nanning, Guangxi, 530007, P.R. China.
Ning WenTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, No.166 Daxuedong Road, Nanning, Guangxi, 530007, P.R. China.
Ke QinTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, No.166 Daxuedong Road, Nanning, Guangxi, 530007, P.R. China.
Jianhui DongTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, No.166 Daxuedong Road, Nanning, Guangxi, 530007, P.R. China.
Jihua WuTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, No.166 Daxuedong Road, Nanning, Guangxi, 530007, P.R. China.
Dandan ZhuTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, No.166 Daxuedong Road, Nanning, Guangxi, 530007, P.R. China.
Xuyong SunTransplant Medical Center, The Second Affiliated Hospital of Guangxi Medical University, No.166 Daxuedong Road, Nanning, Guangxi, 530007, P.R. China. sunxuyong@gxmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioma is the most common brain tumor. IDH mutations occur frequently in glioma, indicating a more favorable prognosis. We aimed to explore energy metabolism-related genes in glioma to promote the research and treatment.

methodsDatasets were obtained from TCGA and GEO databases. Candidate genes were screened by differential gene expression analysis, then functional enrichment analysis was conducted on the candidate genes. PPI was also carried out to help determine the target gene. GSEA and DO analysis were conducted in the different expression level groups of the target gene. Survival analysis and immune cell infiltrating analysis were performed as well.

resultsWe screened 34 candidate genes and selected GLUD1 as the target gene. All candidate genes were significantly enriched in 10 KEGG pathways and 330 GO terms. GLUD1 expression was higher in IDH-mutant samples than IDH-wildtype samples, and higher in normal samples than tumor samples. Low GLUD1 expression was related to poor prognosis according to survival analysis. Most types of immune cells were negatively related to GLUD1 expression, but monocytes and activated mast cells exhibited significantly positive correlation with GLUD1 expression. GLUD1 expression was significantly related to 119 drugs and 6 immune checkpoint genes. GLUD1 was able to serve as an independent prognostic indicator of IDH-mutant glioma.

conclusionIn this study, we identified an energy metabolism-related gene GLUD1 potentially contributing to favorable clinical outcomes of IDH-mutant glioma. In glioma, GLUD1 related clinical outcomes and immune landscape were clearer, and more valuable information was provided for immunotherapy.

Indexed as

Brain NeoplasmsEnergy MetabolismGliomaIsocitrate DehydrogenaseMutationGlutamate DehydrogenaseHumansPrognosisGLUD1 protein, humanGlutamate DehydrogenaseIsocitrate DehydrogenaseGLUD1IDH-mutant gliomaImmune microenvironment

Identifiers

PMID39272024
PMCPMC11395857

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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.