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

A glycolysis-based ten-gene signature correlates with the clinical outcome, molecular subtype and IDH1 mutation in glioblastoma.

Journal of genetics and genomics = Yi chuan xue bao - 20 Nov 2017

Chen Cong, Shi Yu, Li Yong, He Zhi-Cheng, Zhou Kai, Zhang Xiao-Ning, Yang Kai-Di, Wu Jin-Rong, Kung Hsiang-Fu, Ping Yi-Fang, Bian Xiu-Wu

Abstract excerpt

Reprogrammed metabolism is a hallmark of cancer. Glioblastoma (GBM) tumor cells predominantly utilize aerobic glycolysis for the biogenesis of energy and intermediate nutrients. However, in GBM, the clinical significance of glycolysis and its underlying relations with the molecular features such as IDH1 mutation and subtype have not been elucidated yet. Herein, based on glioma datasets including TCGA (The Cancer...

Read the complete abstract on PubMed

Topics

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

Share to Biomarkers, Pharmacological
Share to Brain Neoplasms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Enzymologic

Share to Glioblastoma

Share to Glioma

Share to Glycolysis

Share to Isocitrate Dehydrogenase

Share to Survival Analysis

Source

Identifiers

PMID: 29169920
DOI: 10.1016/j.jgg.2017.05.007

Genes

IDH1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A glycolysis-based ten-gene signature correlates with the clinical outcome, molecular subtype and IDH1 mutation in glioblastoma.PMID 29169920Read ↗

A Novel Glycolysis-Related Gene Signature that can Predict the Prognosis of Glioblastoma PatientsSemantic proximity Read ↗

A Prognostic Model for Brain Glioma Patients Based on 9 Signature Glycolytic Genes.Semantic proximity Read ↗

High Expression of Glycolytic Genes in Clinical Glioblastoma Patients Correlates with Lower SurvivalSemantic proximity Read ↗

Glioblastoma glycolytic signature predicts unfavorable prognosis, immunological heterogeneity, and ENO1 promotes microglia M2 polarization and cancer cell malignancySemantic proximity Read ↗

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

Metabolic Rewiring in Glioblastoma Cancer: EGFR, IDH and BeyondSemantic proximity Read ↗

Molecular classification of IDH-mutant glioblastomas based on gene expression profilesSemantic proximity Read ↗

Persistent cell proliferation signals correlates with increased glycolysis in tumor hypoxia microenvironment across cancer typesSemantic proximity Read ↗

In silico gene expression analysis reveals glycolysis and acetate anaplerosis in IDH1 wild-type glioma and lactate and glutamate anaplerosis in IDH1-mutated glioma.Semantic proximity Read ↗

The prognostic significance of genes involved in glycolysis, immunity, and epithelial-to-mesenchymal transition in glioblastomaSemantic proximity Read ↗

Integrative analysis of metabolism subtypes and identification of prognostic metabolism-related genes for glioblastomaSemantic proximity Read ↗

Development and validation of a two glycolysis-related LncRNAs prognostic Signature for Glioma and in vitro analysesSemantic proximity Read ↗

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