ArticleScientific reports2021
Construction and validation of a metabolic risk model predicting prognosis of colon cancer.
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 18 papers.
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Who cites it
18 citing papers in PubMed.
- A risk stratification framework based on ammonia-induced cell death signatures for prognostic assessment and therapeutic insights in colorectal cancer.Discover oncology · 2026Article
- The subtype identification of colorectal cancer and construction of the risk model based on cholesterol synthesis-related genes to predict prognosis and guide immunotherapy.International journal of colorectal disease · 2026Article
- Body mass index-defined overweight (but not obese) correlates with better postoperative prognosis in colorectal cancer.Journal of gastrointestinal oncology · 2025Article
- Development and validation of a logistic regression model for the diagnosis of colorectal cancer.Scientific reports · 2025Article
- Comprehensive analysis of mitochondrial-related gene signature for prognosis, tumor immune microenvironment evaluation, and candidate drug development in colon cancer.Scientific reports · 2025Article
- Circulating cell-free DNA methylation analysis of pancreatic cancer patients for early noninvasive diagnosis.Frontiers in oncology · 2025Article
- Progress in immune microenvironment, immunotherapy and prognostic biomarkers in pediatric osteosarcoma.Frontiers in immunology · 2025Review
- Metabolic reprogramming and immune microenvironment characteristics in laryngeal carcinoma: advances in immunotherapy.Frontiers in immunology · 2025Review
- The role of tumor-associated macrophages in lung cancer.Frontiers in immunology · 2025Review
- Unveiling the secrets of gastrointestinal mucous adenocarcinoma survival after surgery with artificial intelligence: A population-based study.World journal of gastrointestinal oncology · 2024Article
- Prediction and verification of the prognostic biomarkerOncology letters · 2024Article
- Developing and validating a machine learning model to predict multidrug-resistantFrontiers in immunology · 2024Article
- Construction and validation of a metabolism-associated gene signature for predicting the prognosis, immune landscape, and drug sensitivity in bladder cancer.BMC medical genomics · 2023Article
- Integrated single-cell and bulk RNA sequencing analysis identifies a prognostic signature related to ferroptosis dependence in colorectal cancer.Scientific reports · 2023Article
- Construction and clinical validation of a nomogram-based predictive model for diabetic retinopathy in type 2 diabetes.American journal of translational research · 2023Article
- Effective oxygen metabolism-based prognostic signature for colorectal cancer.Frontiers in oncology · 2023Article
- Metabolic response to radiation therapy in cancer.Molecular carcinogenesis · 2022Review
- Amino acid metabolism-based molecular classification of colon adenocarcinomaFrontiers in immunology · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic genes have played a significant role in tumor development and prognosis. In this study, we constructed a metabolic risk model to predict the prognosis of colon cancer based on The Cancer Genome Atlas (TCGA) and validated the model by Gene Expression Omnibus (GEO). We extracted 753 metabolic genes and identified 139 differentially expressed genes (DEGs) from TCGA database. Then we conducted univariate cox regression analysis and Least Absolute Shrinkage and Selection Operator Cox regression analysis to identify prognosis-related genes and construct the metabolic risk model. An eleven-gene prognostic model was constructed after 1000 resamples. The gene signature has been proved to have an excellent ability to predict prognosis by Kaplan-Meier analysis, time-dependent receiver operating characteristic, risk score, univariate and multivariate cox regression analysis based on TCGA. Then we validated the model by Kaplan-Meier analysis and risk score based on GEO database. Finally, we performed a weighted gene co-expression network analysis and protein-protein interaction network on DEGs, and Kyoto Encyclopedia of Genes and Genomes pathways and Gene Ontology enrichment analyses were conducted. The results of functional analyses showed that most significantly enriched pathways focused on metabolism, especially glucose and lipid metabolism pathways.
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