ArticleGenes & diseases2023
Identification of inflammatory factor-related genes associated with the prognosis and immune cell infiltration in colorectal cancer patients.
Article in Genes & diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Identification of EARS2 as a Potential Biomarker with Diagnostic, Prognostic, and Therapeutic Implications in Colorectal Cancer.ImmunoTargets and therapy · 2025Article
- Constructing a novel mitochondrial metabolism-related genes signature to evaluate tumor immune microenvironment and predict survival of colorectal cancer.Frontiers in medicine · 2025Article
- A mitochondrial ferroptosis-related gene signature predicts prognosis and immune landscape in colon cancer.Frontiers in medicine · 2025Article
- A mitochondrial lipid metabolism-related gene signature predicts prognosis and immune landscape in colorectal cancer.Frontiers in immunology · 2025Article
- ERCC4: a potential regulatory factor in inflammatory bowel disease and inflammation-associated colorectal cancer.Frontiers in endocrinology · 2024Review
- Multicohort Construction, Immune Landscape Analysis, and PCOLCE2 Functional Validation of an Inflammation-Related Prognostic Model in Colorectal Cancer.BioFactors (Oxford, England)Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to identify the inflammatory factor-related genes which help to predict the prognosis of patients with colorectal cancer. GSEA (Gene Set Enrichment Analysis) was used to acquire inflammation-related genes and the corresponding expression information was collected from TCGA database to determine the DEGs (differentially-expressed genes) in CRC patients. We conducted enrichment analysis and PPI (protein-protein interaction) of these DEGs. Besides, key genes that are both differentially-expressed and prognosis-related were screened out, which were used to establish the prognostic model. We obtained 79 DEGs and 19 prognostic genes, 10 prognostic-related differential genes were eventually screened. These genes were used to construct the prognostic model. We also identified that the immune infiltration score of macrophages between different risk groups was significantly different and similar distinction was witnessed in immune function score of APC (antigen-presenting cell) co-stimulation and type I IFN (interferon) response.
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Registered trials
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