ArticleAging2018
Identification of an energy metabolism-related signature associated with clinical prognosis in diffuse glioma.
Article in Aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Glioblastoma glycolytic signature predicts unfavorable prognosis, immunological heterogeneity, and ENO1 promotes microglia M2 polarization and cancer cell malignancy.Cancer gene therapy · 2023Article
- Identification of an energy metabolism-related six-gene signature for distinguishing and forecasting the prognosis of low-grade gliomas.Annals of translational medicine · 2023Article
- Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer.BMC bioinformatics · 2022Article
- Identification of an endoplasmic reticulum stress-related signature associated with clinical prognosis and immune therapy in glioma.BMC neurology · 2022Article
- A 1p/19q Codeletion-Associated Immune Signature for Predicting Lower Grade Glioma Prognosis.Cellular and molecular neurobiology · 2022Article
- Metabolic Rewiring in Glioblastoma Cancer:Frontiers in oncology · 2022Review
- MicroRNA-3148 inhibits glioma by decreasingExperimental and therapeutic medicine · 2022Article
- Identification of a Nomogram with an Autophagy-Related Risk Signature for Survival Prediction in Patients with Glioma.International journal of general medicine · 2022Article
- Dynamic Changes in Myofibroblasts Affect the Carcinogenesis and Prognosis of Bladder Cancer Associated With Tumor Microenvironment Remodeling.Frontiers in cell and developmental biology · 2022Article
- Integrated Analysis of Energy Metabolism Signature-Identified Distinct Subtypes of Bladder Urothelial Carcinoma.Frontiers in cell and developmental biology · 2022Article
- A novel ferroptosis-related lncRNA signature for prognosis prediction in gastric cancer.BMC cancer · 2021Article
- Identification of a glycolysis-related gene signature for survival prediction of ovarian cancer patients.Cancer medicine · 2021Article
- Identification of a mesenchymal-related signature associated with clinical prognosis in glioma.Aging · 2021Article
- Prognostic Prediction Model for Glioblastoma: A Metabolic Gene Signature and Independent External Validation.Journal of Cancer · 2021Article
- Gene Expression Profile and Prognostic Value of m6A RNA Methylation Regulators in Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2021Article
- MYD88 Is a Potential Prognostic Gene and Immune Signature of Tumor Microenvironment for Gliomas.Frontiers in oncology · 2021Article
- Development of an Aerobic Glycolysis Index for Predicting the Sorafenib Sensitivity and Prognosis of Hepatocellular Carcinoma.Frontiers in oncology · 2021Article
- Promoting Prognostic Model Application: A Review Based on Gliomas.Journal of oncology · 2021Review
- Comprehensive Analysis of Inflammatory Response-Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.Frontiers in pharmacology · 2021Article
- Identification and Validation of a Seizure-Free-Related Gene Signature for Predicting Poor Prognosis in Lower-Grade Gliomas.International journal of general medicine · 2021Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Now, numerous exciting findings have been yielded in the field of energy metabolism within glioma cells. In addition to aerobic glycolysis, multiple catabolic pathways are employed for energy production. However, the prognostic significance of energy metabolism in glioma remains obscure. Here, we explored the relationship between energy metabolism gene profile and outcome of diffuse glioma patients using The Cancer Genome Altas (TCGA) and Chinese Glioma Genome Altas (CGGA) datasets. Based on the gene expression profile, consensus clustering identified two robust clusters of glioma patients with distinguished prognostic and molecular features. With the Cox proportional hazards model with elastic net penalty, an energy metabolism-related signature was built to evaluate patients' prognosis. Kaplan-Meier analysis found that the acquired signature could differentiate the outcome of low and high-risk groups of patients in both cohorts. Moreover, the signature, significantly associated with the clinical and molecular features, could serve as an independent prognostic factor for glioma patients. Gene Ontology (GO) and Gene Set Enrichment Analysis (GSEA) showed that gene sets correlated with high-risk group were involved in immune and inflammatory response, with the low-risk group were mainly related to glutamate receptor signaling pathway. Our results provided new insight into energy metabolism role in diffuse glioma.
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