Evidence map›Paper›PMID 40307749›Full record

ArticleBMC cancer2025

Novel metabolic subtypes in IDH-mutant gliomas: implications for prognosis and therapy.

Peng Wang, Jiayi Wang, Zheng Fang, Qiaodong Chen, Ying Zhang, Xiaoguang Qiu, Zhaoshi Bao

Abstract read
In one paragraph

Article in BMC cancer, 2025. 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

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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

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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.

Peng Wang *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0002-5808-4265
Jiayi Wang *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zheng Fang *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qiaodong ChenDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ying ZhangDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China. zhangy_bni@163.com.
Xiaoguang QiuDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China. qiuxiaoguang@bjtth.org.
Zhaoshi BaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. baozhaoshi@bjtth.org.

Funding

Clinical and Translational Medicine Research Foundation of Chinese Academy of Medical Sciences 2022-I2M-C&T-B-115Outstanding Young Talents Program of Capital Medial University B2101The National Key Research and Development Program 2023YFC2510005
6 · The paper itself

Abstract

backgroundAlthough IDH-mutant glioma generally has a better prognosis than their IDH-wildtype counterparts, considerable prognostic heterogeneity persists among patients with the same IDH mutation. Current study has primarily focused on the different IDH statuses or grades, while the metabolic heterogeneity within IDH-mutant gliomas remains insufficiently characterized. This study aims to identify transcriptomic metabolic subtypes and associated immune microenvironment differences to better understand survival variability and potential therapeutic targets in IDH-mutant glioma.

methodsPatients with IDH-mutant gliomas were included from four public datasets (TCGA, n = 373; CGGA325, n = 167; CGGA693, n = 333; GLASS, n = 100), supplemented by 22 cases from Beijing Tiantan Hospital as an independent cohort. Consensus clustering was used to define novel metabolic subtypes. Clinical features were assessed using chi-square tests and Kaplan-Meier analysis. Metabolic profiles were characterized through enrichment analysis and GSVA; immune infiltration was analyzed using CIBERSORTx and ESTIMATE. Tumor samples from the independent cohort underwent untargeted metabolomics for validation. LASSO regression was applied to select metabolic signatures, and the CGP2014 drug library was used for drug screening.

resultsThree metabolic subtypes (C1-C3) with distinct prognoses (p < 0.05) were identified. C1 exhibited enhanced carbohydrate and nucleotide metabolism; C2 displayed upregulated amino acid and lipid metabolism; and C3 demonstrated elevated lipid, nucleotide, and vitamin metabolism. These patterns were validated in the independent cohort. Subtypes were also correlated with immune infiltration. A 13-gene metabolic signature was established to stratify prognostic risk and suggest subtype-specific drug sensitivities.

conclusionsOur study provided a novel metabolic subtype for IDH-mutant glioma and highlighted these patients' metabolic heterogeneity and potential therapeutic strategies.

Indexed as

Brain NeoplasmsGliomaIsocitrate DehydrogenaseMutationAdultBiomarkers, TumorFemaleHumansMaleMiddle AgedPrognosisTranscriptomeTumor MicroenvironmentBiomarkers, TumorIsocitrate DehydrogenaseGene-expression signatureGliomaIDH-mutantMetabolismTranscriptome

Identifiers

PMID40307749
PMCPMC12044917

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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.