ArticleBioscience reports2020
Identification prognosis-associated immune genes in colon adenocarcinoma.
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 20 papers.
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Who cites it
20 citing papers in PubMed.
- The immunosurveillance signature predicts the prognosis and immunotherapy sensitivity for colon adenocarcinoma.Scientific reports · 2025Article
- Using bioinformatics methods to elucidate fatty acid-binding protein 4 as a potential biomarker for colon adenocarcinoma.World journal of gastrointestinal oncology · 2025Article
- Immune gene features and prognosis in colorectal cancer: insights from ssGSEA typing.Discover oncology · 2025Article
- An integrated framework for prognosis prediction and drug response modeling in colorectal liver metastasis drug discovery.Journal of translational medicine · 2024Article
- Article
- Regularized survival learning and cross-database analysis enabled identification of colorectal cancer prognosis-related immune genes.Frontiers in genetics · 2023Article
- Identification of disulfidptosis-related subtypes, characterization of tumor microenvironment infiltration, and development of a prognosis model in breast cancer.Frontiers in immunology · 2023Article
- Establishment and validation of an aging-related risk signature associated with prognosis and tumor immune microenvironment in breast cancer.European journal of medical research · 2022Article
- Novel six-gene prognostic signature based on colon adenocarcinoma immune-related genes.BMC bioinformatics · 2022Article
- Diagnostic and prognostic potential of the novel biomarker nuclear cap binding protein subunit 2 (Journal of gastrointestinal oncology · 2022Article
- Identification and validation of prognosis-associated DNA repair gene signatures in colorectal cancer.Scientific reports · 2022Article
- The role of a cuproptosis-related prognostic signature in colon cancer tumor microenvironment and immune responses.Frontiers in genetics · 2022Article
- Therapeutic targets and functions of curcumol against COVID-19 and colon adenocarcinoma.Frontiers in nutrition · 2022Article
- Development of a novel hypoxia-immune-related LncRNA risk signature for predicting the prognosis and immunotherapy response of colorectal cancer.Frontiers in immunology · 2022Article
- Identification of Prognostic Fatty Acid Metabolism lncRNAs and Potential Molecular Targeting Drugs in Uveal Melanoma.Computational and mathematical methods in medicine · 2022Article
- Development and validation of a chromatin regulator prognostic signature in colon adenocarcinoma.Frontiers in genetics · 2022Article
- Immune cell infiltration-associated signature in colon cancer and its prognostic implications.Aging · 2021Article
- Identification of the hub genes in gastric cancer through weighted gene co-expression network analysis.PeerJ · 2021Article
- Immune-Related Gene Expression Analysis Revealed Three lncRNAs as Prognostic Factors for Colon Cancer.Frontiers in genetics · 2021Article
- An integrative microenvironment approach for laryngeal carcinoma: the role of immune/methylation/autophagy signatures on disease clinical prognosis and single-cell genotypes.Journal of Cancer · 2021Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colon adenocarcinoma (COAD) is one of the most prevalent malignant tumors worldwide. Immune genes (IGs) have a considerable correlation with tumor initiation and prognosis. The present paper aims to identify the prognosis value of IGs in COAD and conduct a prognosis model for clinical utility. Gene expression data of COAD were downloaded from The Cancer Genome Atlas (TCGA), screening and analyzing differentially expressed IGs by bioinformatics. Core genes were screened by univariate and multivariate Cox regression analyses. Survival analysis was appraised by the Kaplan-Meier method and the log-rank test. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Gene Set Enrichment Analysis (GSEA) were used to identify IGs' relevant signal pathways. We predicted the overall survival (OS) by nomogram. Finally, a prognosis model was conducted based on 12 IGs (SLC10A2, CXCL3, NOX4, FABP4, ADIPOQ, IGKV1-33, IGLV6-57, INHBA, UCN, VIP, NGFR, and TRDC). The risk score was an independent prognostic factor, and a nomogram could accurately predict the OS of individual COAD patients. These results were validated in GSE39582, GSE12945, and GSE103479 cohorts. Functional enrichment analysis demonstrated that these IGs are mainly enriched in hormone secretion, hormone transport, lipid transport, cytokine-cytokine receptor interaction, and peroxisome proliferators-activated receptor signaling pathway. In summary, the risk score is an independent prognostic biomarker. We also excavated several IGs related to COAD's survival and maybe potential biomarkers for COAD diagnosis and treatment.
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