ArticleJournal of clinical laboratory analysis2021
A novel prognostic signature based on four glycolysis-related genes predicts survival and clinical risk of hepatocellular carcinoma.
Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Development and validation of an oxidative phosphorylation based prognostic model revealing tumor progression and immune microenvironment in lung adenocarcinoma.Discover oncology · 2026Article
- Endothelial RAB5IF is required for pathological and developmental retinal angiogenesis.Nature communications · 2025Article
- SAP30 promotes clear cell renal cell carcinoma proliferation and inhibits apoptosis through the MT1G axis.European journal of medical research · 2025Article
- Integrating multiomics analysis and machine learning to refine the molecular subtyping and prognostic analysis of stomach adenocarcinoma.Scientific reports · 2025Article
- SNHG1: Redefining the Landscape of Hepatocellular Carcinoma through Long Noncoding RNAs.Biomedicines · 2024Review
- Activation of the PI3K/AKT signaling pathway by ARNTL2 enhances cellular glycolysis and sensitizes pancreatic adenocarcinoma to erlotinib.Molecular cancer · 2024Article
- Review
- CDCA8 induced by NF-YA promotes hepatocellular carcinoma progression by regulating the MEK/ERK pathway.Experimental hematology & oncology · 2023Article
- Unraveling the enigma of B cells in diffuse large B-cell lymphoma: unveiling cancer stem cell-like B cell subpopulation at single-cell resolution.Frontiers in immunology · 2023Article
- Identification of Hypoxia-Related Prognostic Signature and Competing Endogenous RNA Regulatory Axes in Hepatocellular Carcinoma.International journal of molecular sciences · 2022Article
- Classification and Prognostic Characteristics of Hepatocellular Carcinoma Based on Glycolysis Cholesterol Synthesis Axis.Journal of oncology · 2022Article
- A novel prognostic signature based on four glycolysis-related genes predicts survival and clinical risk of hepatocellular carcinoma.Journal of clinical laboratory analysis · 2021Article
- Uridine-cytidine kinase 2 promotes glycolysis and reprograms glioblastoma stem cell characteristics under hypoxic conditions through the PI3K/Akt/HIF-1α pathway.Cell cycle (Georgetown, Tex.)Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundHepatocellular carcinoma (HCC) is the most common cancer with limited cure and poor survival. In our study, a bioinformatic analysis was conducted to investigate the role of glycolysis in the pathogenesis and progression of HCC.
methodsSingle-sample gene set enrichment analysis (ssGESA) was used to calculate enrichment scores for each sample in TCGA-LIHC and GEO14520 according to the glycolysis gene set. Weighted gene co-expression network analysis identified a gene module closely related to glycolysis, and their function was investigated. Prognostic biomarkers were screened from these genes. Cox proportional hazard model and least absolute shrinkage and selection operator regression were used to construct the prognostic signature. Kaplan-Meier (KM) and receiver operating characteristic (ROC) curve analyses evaluated the prediction performance of the prognostic signature in TCGA-LIHC and ICGC-LIRI-JP. Combination analysis data of clinical features and prognostic signature constructed a nomogram. Area under ROC curves and decision curve analysis were used to compare the nomogram and its components.
resultsThe glycolysis pathway was upregulated in HCC and was unfavorable for survival. The determined gene module was mainly enriched in cell proliferation. A prognostic signature (CDCA8, RAB5IF, SAP30, and UCK2) was developed and validated. KM and ROC curves showed a considerable predictive effect. The risk score derived from the signature was an independent prognostic factor. The nomogram increased prediction efficiency by combining risk signature and TNM stage and performed better than component factors in net benefit.
conclusionThe gene signature may contribute to individual risk estimation, survival prognosis, and clinical management.
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