ArticleCancer cell international2020
Nine glycolysis-related gene signature predicting the survival of patients with endometrial adenocarcinoma.
Article in Cancer cell international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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32 citing papers in PubMed, 59 citations in OpenAlex.
- Article
- SCENE: Signature Collection for Endometrial Cancer Prognosis.Journal of cellular and molecular medicine · 2025Review
- Exploring the Glycolytic Mechanisms in "Driver Gene-Negative" Lung Adenocarcinoma (LUAD): A Single-Cell RNA Sequencing Approach to Identify the MIF-HIF-1α Axis.Journal of Cancer · 2025Article
- 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
- A Glycolysis and gluconeogenesis-related model for breast cancer prognosis.Cancer biomarkers : section A of Disease markers · 2024Article
- Analysis and experimental validation of disulfidptosis related genes solute carrier family 3 member 2 (SLC3A2) in endometrial cancer.Cancer cell international · 2024Article
- A metabolic reprogramming-related gene signature correlates with prognosis and proliferation of BLCA.Discover oncology · 2024Article
- Robust and consistent biomarker candidates identification by a machine learning approach applied to pancreatic ductal adenocarcinoma metastasis.BMC medical informatics and decision making · 2024Article
- Article
- Article
- Glucose metabolic reprogramming and its therapeutic potential in obesity-associated endometrial cancer.Journal of translational medicine · 2023Review
- A novel glycolysis-related gene signature for predicting the prognosis of multiple myeloma.Frontiers in cell and developmental biology · 2023Article
- Three RNA-binding protein signature as a novel biomarker to predict endometrial cancer prognosis.American journal of translational research · 2023Article
- Construction and validation of a prognostic model based on 11 lymph node metastasis-related genes for overall survival in endometrial cancer.Cancer medicine · 2022Article
- A glycolysis-related two-gene risk model that can effectively predict the prognosis of patients with rectal cancer.Human genomics · 2022Article
- 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
- Identification of glycolysis genes signature for predicting prognosis in malignant pleural mesothelioma by bioinformatics and machine learning.Frontiers in endocrinology · 2022Article
- Increased tumor glycolysis is associated with decreased immune infiltration across human solid tumors.Frontiers in immunology · 2022Article
- Constructing a new prognostic signature of gastric cancer based on multiple data sets.Bioengineered · 2021Article
- Identification of the prognostic value of a 2-gene signature of the WNT gene family in UCEC using bioinformatics and real-world data.Cancer cell international · 2021Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEndometrial cancer is the fourth most common cancer in women. The death rate for endometrial cancer has increased. Glycolysis of cellular respiration is a complex reaction and is the first step in most carbohydrate catabolism, which was proved to participate in tumors.
methodsWe analyzed the sample data of over 500 patients from TCGA database. The bioinformatic analysis included GSEA, cox and lasso regression analysis to select prognostic genes, as well as construction of a prognostic model and a nomogram for OS evaluation. The immunohistochemistry staining, survival analysis and expression level validation were also performed. Maftools package was for mutation analysis. GSEA identified Glycolysis was the most related pathway to EC. qRT-PCR verified the expression level of hub gene in clinical samples.
resultsAccording to the prognostic model using the train set, 9 glycolysis-related genes including B3GALT6, PAM, LCT, GMPPB, GLCE, DCN, CAPN5, GYS2 and FBP2 were identified as prognosis-related genes. Based on nine gene signature, the EC patients could be classified into high and low risk subgroups, and patients with high risk score showed shorter survival time. Time-dependent ROC analysis and Cox regression suggested that the risk score predicted EC prognosis accurately and independently. Analysis of test and train sets yielded consistent results A nomogram which incorporated the 9-mRNA signature and clinical features was also built for prognostic prediction. Immunohistochemistry staining and TCGA validation showed that expression levels of these genes do differ between EC and normal tissue samples. GSEA revealed that the samples of the low-risk group were mainly concentrated on Bile Acid Metabolism. Patients in the low-risk group displayed obvious mutation signatures compared with those in the high-risk group. The expression levels of B3GALT6, DCN, FBP2 and GYS2 are lower in tumor samples and higher in normal tissue samples. The expression of CAPN5 and LCT in clinical sample tissues is just the opposite.
conclusionThis study found that the Glycolysis pathway is associated with EC and screened for hub genes on the Glycolysis pathway, which may serve as new target for the treatment of EC.
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