ArticleCancer cell international2019
Identification of novel cell glycolysis related gene signature predicting survival in patients with endometrial cancer.
Article in Cancer cell international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
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64 citing papers in PubMed.
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- Network toxicology and bioinformatic investigation of the association between Bisphenol A and endometrial cancer.Scientific reports · 2026Article
- The role and mechanism of CHST6-mediated lactation modification in lenvatinib resistance in hepatocellular carcinoma cells.American journal of translational research · 2026Article
- Endometrial cancer: from clinical reality to molecular treatment.Discover oncology · 2025Review
- SCENE: Signature Collection for Endometrial Cancer Prognosis.Journal of cellular and molecular medicine · 2025Review
- Machine learning identifies SRD5A3 as a propionate-related prognostic biomarker in triple-negative breast cancer.Scientific reports · 2025Article
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- Mitochondrial miRNA miR-134-5p Play Oncogenic Role in Clear Cell Renal Cell Carcinoma.Biomolecules · 2025Article
- A novel golgi related genes based correlation prognostic index can better predict the prognosis of glioma and responses to immunotherapy.Discover oncology · 2025Article
- Article
- MGAT4A/Galectin9-Driven N-Glycosylation Aberration as a Promoting Mechanism for Poor Prognosis of Endometrial Cancer with TP53 Mutation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Analysis of the implication of steroid 5 alpha-reductase 3 on prognosis and immune microenvironment in Liver Hepatocellular Carcinoma.Annals of medicine · 2024Article
- A Glycolysis and gluconeogenesis-related model for breast cancer prognosis.Cancer biomarkers : section A of Disease markers · 2024Article
- Baseline SUVmax is correlated with tumor hypoxia and patient outcomes in nasopharyngeal carcinoma.Scientific reports · 2024Article
- Glycolysis-related genes predict prognosis and indicate immune microenvironment features in gastric cancer.BMC cancer · 2024Article
- Evolution, classification, structure, and functional diversification of steroid 5α-reductase family in eukaryotes.Heliyon · 2024Review
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4 more citing papers are in PubMed but not listed here.
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Abstract
backgroundEndometrial cancer (EC) is one of the three major gynecological malignancies. Numerous biomarkers that may be associated with survival and prognosis have been identified through database mining in previous studies. However, the predictive ability of single-gene biomarkers is not sufficiently specific. Genetic signatures may be an improved option for prediction. This study aimed to explore data from The Cancer Genome Atlas (TCGA) to identify a new genetic signature for predicting the prognosis of EC.
methodsmRNA expression profiling was performed in a group of patients with EC (n = 548) from TCGA. Gene set enrichment analysis was performed to identify gene sets that were significantly different between EC tissues and normal tissues. Cox proportional hazards regression models were used to identify genes significantly associated with overall survival. Quantitative real-time-PCR was used to verify the reliability of the expression of selected mRNAs. Subsequent multivariate Cox regression analysis was used to establish a prognostic risk parameter formula. Kaplan-Meier survival estimates and the log-rank test were used to validate the significance of risk parameters for prognosis prediction.
resultNine genes associated with glycolysis (
conclusionA nine-gene signature associated with cellular glycolysis for predicting the survival of patients with EC was developed. The findings provide insight into the mechanisms of cellular glycolysis and identification of patients with poor prognosis in EC.
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