ArticleScientific reports2021
Glycolysis-related gene expression profiling serves as a novel prognosis risk predictor for human hepatocellular carcinoma.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between glycolysis markers and prognosis of liver cancer: a systematic review and meta-analysis.World journal of surgical oncology · 2023Pooled it
- Integrated multi-omics analysis reveals comprehensive metabolism-driven tumor heterogeneity and immune microenvironment in hepatocellular carcinomas.Scientific reports · 2026Article
- DEP domain‑containing 1 is a prognostic biomarker associated with the cell cycle in gliomas.Oncology letters · 2025Article
- Nicotinamide N-Methyltransferase (NNMT) and Liver Cancer: From Metabolic Networks to Therapeutic Targets.Biomolecules · 2025Review
- Metabolic reprogramming in hepatocellular carcinoma: mechanisms and therapeutic implications.Experimental & molecular medicine · 2025Review
- CENPs in hepatocellular carcinoma: a comprehensive review of expression patterns, clinical correlations, and functional mechanisms.American journal of cancer research · 2025Review
- DEPDC1 facilitated malignant phenotypes and disease progression of liposarcoma by modulating KIF20A.Frontiers in endocrinology · 2025Article
- Progressive Deactivation of Hydroxylases Controls Hypoxia-Inducible Factor-1α-Coordinated Cellular Adaptation to Graded Hypoxia.Research (Washington, D.C.) · 2025Article
- A Glycolysis and gluconeogenesis-related model for breast cancer prognosis.Cancer biomarkers : section A of Disease markers · 2024Article
- Exploring Aerobic Energy Metabolism in Breast Cancer: A Mutational Profile of Glycolysis and Oxidative Phosphorylation.International journal of molecular sciences · 2024Article
- Roles of DEPDC1 in various types of cancer (Review).Oncology letters · 2024Review
- DEPDC1 as a metabolic target regulates glycolysis in renal cell carcinoma through AKT/mTOR/HIF1α pathway.Cell death & disease · 2024Article
- Targeting hexokinase 2 for oral cancer therapy: structure-based design and validation of lead compounds.Frontiers in pharmacology · 2024Article
- Cryptocaryone induces apoptosis in human hepatocellular carcinoma cells by inhibiting aerobic glycolysis through Akt and c-Src signaling pathways.Journal of food and drug analysis · 2023Article
- Metabolic Reprogramming of HCC: A New Microenvironment for Immune Responses.International journal of molecular sciences · 2023Review
- Guidelines on lung adenocarcinoma prognosis based on immuno-glycolysis-related genes.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023Article
- Identification of prognostic and therapeutic biomarkers in type 2 papillary renal cell carcinoma.World journal of surgical oncology · 2023Article
- Glycolysis-Related Gene Analyses Indicate That DEPDC1 Promotes the Malignant Progression of Oral Squamous Cell Carcinoma via the WNT/β-Catenin Signaling Pathway.International journal of molecular sciences · 2023Article
- Article
- FOXM1 is regulated by DEPDC1 to facilitate development and metastasis of oral squamous cell carcinoma.Frontiers in oncology · 2022Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic pattern reconstruction is an important factor in tumor progression. Metabolism of tumor cells is characterized by abnormal increase in anaerobic glycolysis, regardless of high oxygen concentration, resulting in a significant accumulation of energy from glucose sources. These changes promotes rapid cell proliferation and tumor growth, which is further referenced a process known as the Warburg effect. The current study reconstructed the metabolic pattern in progression of cancer to identify genetic changes specific in cancer cells. A total of 12 common types of solid tumors were included in the current study. Gene set enrichment analysis (GSEA) was performed to analyze 9 glycolysis-related gene sets, which are implicated in the glycolysis process. Univariate and multivariate analyses were used to identify independent prognostic variables for construction of a nomogram based on clinicopathological characteristics and a glycolysis-related gene prognostic index (GRGPI). The prognostic model based on glycolysis genes showed high area under the curve (AUC) in LIHC (Liver hepatocellular carcinoma). The findings of the current study showed that 8 genes (AURKA, CDK1, CENPA, DEPDC1, HMMR, KIF20A, PFKFB4, STMN1) were correlated with overall survival (OS) and recurrence-free survival (RFS). Further analysis showed that the prediction model accurately distinguished between high- and low-risk cancer patients among patients in different clusters in LIHC. A nomogram with a well-fitted calibration curve based on gene expression profiles and clinical characteristics showed good discrimination based on internal and external cohorts. These findings indicate that changes in expression level of metabolic genes implicated in glycolysis can contribute to reconstruction of tumor-related microenvironment.
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