ArticleInternational journal of general medicine2022
A Novel Glycolysis and Hypoxia Combined Gene Signature Predicts the Prognosis and Affects Immune Infiltration of Patients with Colon Cancer.
Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
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- Novel Aza-podophyllotoxin Derivative Inhibits Growth of Triple-Negative Breast Cancer.ACS omega · 2025Article
- Identification and external validation of a prognostic signature based on hypoxia-glycolysis-related genes for kidney renal clear cell carcinoma.Open medicine (Warsaw, Poland) · 2025Article
- Prognostic significance of CNNM4 in ovarian cancer: a comprehensive bioinformatics analysis.Frontiers in oncology · 2024Article
- LINC00174 Promotes Colon Cancer Progression by Regulating Inflammation and Glycolysis by Targeting the MicroRNA-2467-3p/Enolase 3 Axis.Mediators of inflammation · 2023Article
- A Novel Immune-Related Gene Signature to Identify the Tumor Microenvironment and Prognose Disease Among Patients With Oral Squamous Cell Carcinoma Patients Using ssGSEA: A Bioinformatics and Biological Validation Study.Frontiers in immunology · 2022Article
- Prognostic significance and immune landscape of a fatty acid metabolism-related gene signature in colon adenocarcinoma.Frontiers in genetics · 2022Article
- A Super-Enhancer-Related Ferroptosis Signature Predicts Survival and Immune Microenvironment in Colon Cancer Based on Bioinformatics Analyses and Experimental Validation.IET systems biologyArticle
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
purposeWe aimed to characterize the expression patterns of glycolysis and hypoxia genes in colon cancers as well as their value in prognosis and immune microenvironment.
methodsThe expression profiles were acquired from the Cancer Genome Atlas database. Enrichment of hypoxia and glycolysis gene sets in colon cancer was identified by gene set enrichment analysis. Then, a prognostic signature was built up after Cox regression analyses, and overall survival analysis validated the predictive ability. Immune status and infiltration in cancer tissues were explored using the single sample gene set enrichment analysis and CIBERSORT algorithm. A nomogram model integrating clinical variables and the gene signature was established and assessed.
resultsAltogether, 378 cancer and 39 control cases were enrolled. Three glycolysis gene sets and two hypoxia gene sets were enriched in colon cancer (P < 0.05). Five independent genes (
conclusionA glycolysis and hypoxia combined gene signature was a promising method to evaluate the prognosis and immune infiltration of colon cancer patients, which may provide a new tool for cancer management.
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