ArticleFrontiers in genetics2020
Identification of Novel Glycolysis-Related Gene Signatures Associated With Prognosis of Patients With Clear Cell Renal Cell Carcinoma Based on TCGA.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Transcription Factor ATF4 Deletion Reprograms Glucose Metabolism in Clear Cell Renal Cell Carcinoma.Cancers · 2026Article
- A Novel Prognostic Signature Integrating Immune and Glycolytic Pathways for Enhanced Prognosis and Immunotherapy Prediction in Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2025Article
- Multi-omics and immunogenomics analysis revealed PFKFB3 as a targetable hallmark and mediates sunitinib resistance in papillary renal cell carcinoma: in silico study with laboratory verification.European journal of medical research · 2024Article
- Development and validation of a two glycolysis-related LncRNAs prognostic signature for glioma and in vitro analyses.Cell division · 2023Article
- Predicting Differences in Treatment Response and Survival Time of Lung Adenocarcinoma Patients Based on a Prognostic Risk Model of Glycolysis-Related Genes.Frontiers in genetics · 2022Article
- Hybrid Metabolic Activity-Related Prognostic Model and Its Effect on Tumor in Renal Cell Carcinoma.Journal of healthcare engineering · 2022Article
- Glycosylation-related molecular subtypes and risk score of hepatocellular carcinoma: Novel insights to clinical decision-making.Frontiers in endocrinology · 2022Article
- Effects of Glycolysis-Related Genes on Prognosis and the Tumor Microenvironment of Hepatocellular Carcinoma.Frontiers in pharmacology · 2022Article
- Markers Associated With Tumor Recurrence in Patients With Breast Cancer Achieving a Pathologic Complete Response After Neoadjuvant Chemotherapy.Frontiers in oncology · 2022Article
- CENPA promotes clear cell renal cell carcinoma progression and metastasis via Wnt/β-catenin signaling pathway.Journal of translational medicine · 2021Article
- A Prognostic Model for Brain Glioma Patients Based on 9 Signature Glycolytic Genes.BioMed research international · 2021Article
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Authors and funding
6 authors.
Funding
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Abstract
objectiveThe purpose of the present study was to detect novel glycolysis-related gene signatures of prognostic values for patients with clear cell renal cell carcinoma (ccRCC).
methodsGlycolysis-related gene sets were acquired from the Molecular Signatures Database (V7.0). Gene Set Enrichment Analysis (GSEA) software (4.0.3) was applied to analyze glycolysis-related gene sets. The Perl programming language (5.32.0) was used to extract glycolysis-related genes and clinical information of patients with ccRCC. The receiver operating characteristic curve (ROC) and Kaplan-Meier curve were drawn by the R programming language (3.6.3).
resultsThe four glycolysis-related genes (B3GAT3, CENPA, AGL, and ALDH3A2) associated with prognosis were identified using Cox proportional regression analysis. A risk score staging system was established to predict the outcomes of patients with ccRCC. The patients with ccRCC were classified into the low-risk group and high-risk group.
conclusionsWe have successfully constructed a risk staging model for ccRCC. The model has a better performance in predicting the prognosis of patients, which may have positive reference value for the treatment and curative effect evaluation of ccRCC.
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