Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Integrative analysis of metabolism subtypes and identification of prognostic metabolism-related genes for glioblastoma

29 Feb 2024

Abstract excerpt

Increasing evidence has demonstrated that cancer cell metabolism is a critical factor in tumor development and progression; however, its role in glioblastoma (GBM) remains limited. In the present study, we classified GBM into three metabolism subtypes (MC1, MC2, and MC3) through cluster analysis of 153 GBM samples from the RNA-sequencing data of The Cancer Genome Atlas (TCGA) based on 2752 metabolism-related...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer, Hypoxia, and Metabolism
Share to Ferroptosis and cancer prognosis
Share to Glioma Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38419527
DOI: 10.1042/bsr20231400

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative analysis of metabolism subtypes and identification of prognostic metabolism-related genes for glioblastomaPMID 38419527Read ↗

Identification of a Metabolism-Related Risk Signature Associated With Clinical Prognosis in Glioblastoma Using Integrated Bioinformatic AnalysisSemantic proximity Read ↗

Unveiling the Molecular Mechanisms of Glioblastoma through an Integrated Network-Based ApproachSemantic proximity Read ↗

Advancing glioblastoma treatment by targeting metabolismSemantic proximity Read ↗

Constructing a Nucleotide Metabolism Related Prognostic Model Based on Bioinformatics to Explore the Potential Molecular Mechanisms of GlioblastomaSemantic proximity Read ↗

Metabolomic profiles of human glioma inform patient survivalSemantic proximity Read ↗

Glioblastoma gene expression based subtypes have defined metabolomic statesSemantic proximity Read ↗

Metabolomic Profiles of Human Glioma Inform Patient Survival.Semantic proximity Read ↗

Exploration of prognosis and immune infiltration characteristics in Glioblastoma Multiforme based on Lipid Metabolism related GenesSemantic proximity Read ↗

Single-cell and spatial transcriptomic insights into glioma cellular heterogeneity and metabolic adaptationsSemantic proximity Read ↗

Integrative multi-omics Analysis Proposes a Metabolic Classification of Gliomas: Distinct Metabolic States, Immune Infiltration, and PrognosisSemantic proximity Read ↗

A Propionate Metabolism-Based Gene Signature Reveals Immunogenomic and Transcriptomic Determinants of Prognosis in Glioblastoma Through Multiomics Integration.Semantic proximity Read ↗

Cancer metabolism as a central driving force of glioma pathogenesis.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.