ArticleBioscience reports2020
Mining novel cell glycolysis related gene markers that can predict the survival of colon adenocarcinoma patients.
Article in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 35 citations in OpenAlex.
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- Construction of an Oxidative Stress Risk Model to Analyze the Correlation Between Liver Cancer and Tumor Immunity.Current cancer drug targets · 2025Article
- Comprehensive analysis of cuproptosis-related genes involved in prognosis and tumor microenvironment infiltration of colorectal cancer.Translational cancer research · 2024Article
- Glycolysis-related genes predict prognosis and indicate immune microenvironment features in gastric cancer.BMC cancer · 2024Article
- A cuproptosis-related gene DLAT as a novel prognostic marker and its relevance to immune infiltration in low-grade gliomas.Heliyon · 2024Article
- Identification and validation of the nicotine metabolism-related signature of bladder cancer by bioinformatics and machine learning.Frontiers in immunology · 2024Article
- A comprehensive and systematic analysis of Dihydrolipoamide S-acetyltransferaseOncology research · 2024Article
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- Glycolysis-related gene dihydrolipoamide acetyltransferase promotes poor prognosis in hepatocellular carcinoma through the Wnt/β-catenin and PI3K/Akt signaling pathways.Annals of translational medicine · 2022Article
- Identification of a glycolysis-related gene signature for predicting prognosis in patients with hepatocellular carcinoma.BMC cancer · 2022Article
- A glycolysis-related two-gene risk model that can effectively predict the prognosis of patients with rectal cancer.Human genomics · 2022Article
- Role of cuproptosis-related gene in lung adenocarcinoma.Frontiers in oncology · 2022Article
- Cuproptosis-Related genes in the prognosis of colorectal cancer and their correlation with the tumor microenvironment.Frontiers in genetics · 2022Article
- Development and validation of a hypoxia-stemness-based prognostic signature in pancreatic adenocarcinoma.Frontiers in pharmacology · 2022Article
- Effects of Glycolysis-Related Genes on Prognosis and the Tumor Microenvironment of Hepatocellular Carcinoma.Frontiers in pharmacology · 2022Article
- GPC1 promotes the growth and migration of colorectal cancer cells through regulating the TGF-β1/SMAD2 signaling pathway.PloS one · 2022Article
- Prognostic value of a novel glycolysis-related gene expression signature for gastrointestinal cancer in the Asian population.Cancer cell international · 2021Article
- A Novel Risk Factor Model Based on Glycolysis-Associated Genes for Predicting the Prognosis of Patients With Prostate Cancer.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colon adenocarcinoma (COAD) is a malignant gastrointestinal tumor, often occurring in the left colon, which is regulated by glycolysis-related processes. In past studies, multiple genes that influence the prognosis for survival have been discovered through bioinformatics analysis. However, the prediction of disease prognosis using a single gene is not an accurate method. In the present study, a mechanistic model was established to achieve better prediction for the prognosis of COAD. COAD-related data downloaded from The Cancer Genome Atlas (TCGA) were correlated with the glycolysis process using gene set enrichment analysis (GSEA) to determine the glycolysis-related genes that regulate COAD. Using COX regression analysis, glycolysis-related genes associated with the prognosis of COAD were identified, and the genes screened to establish a predictive model. The risk scores of this model were correlated with relevant clinical data to obtain a connection diagram between the model and survival rate, tumor characteristic data, etc. Finally, genes in the model were correlated with cells in the tumor microenvironment, finding that they affected specific immune cells in the model. Seven genes related to glycolysis were identified (PPARGC1A, DLAT, 6PC2, P4HA1, STC2, ANKZF1, and GPC1), which affect the prognosis of patients with COAD and constitute the model for prediction of survival of COAD patients.
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