ArticleDiscover oncology2025
Immunological characterization and prognostic of colon cancer evaluated by angiogenesis-related features: a computational analysis and in vitro experiments.
Article in Discover oncology, 2025. 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.
- Development and validation of a novel prognostic and for osteosarcoma patients utilizing multiple organelle related genes.Discover oncology · 2026Article
- A GIMAP family signature for prognostic prediction and immune characterization in hepatocellular carcinoma patients.Discover oncology · 2026Article
- Identification and validation of the potential therapeutic value of CASK in osteosarcoma: a computational analysis andFrontiers in oncology · 2026Article
- CSRP1 is a potential therapeutic targets for DLBCL: A computational analysis and in vitro experiments.Clinical and experimental medicine · 2025Article
- Integrative analysis of angiogenesis-related genes highlights prognostic indicators in colorectal cancer through single-cell sequencing and immune infiltration analysis.Discover oncology · 2025Article
- Pan-cancer analysis reveals AOC3 as a potential therapeutic biomarker for colorectal cancer.Discover oncology · 2025Article
- SLC39A14 Is a Potential Therapy Target and Prognostic Biomarker for Acute Myeloid Leukemia.Genes · 2025Article
- Machine learning and validation reveal that immune-related genes in systemic lupus erythematosus regulate apoptosis and cycle progression in diffuse large B-cell lymphoma.Frontiers in medicine · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiseases are often caused by multiple factors, angiogenesis-related genes (ARGs) have been shown to be associated with cancer, however, their role in colon cancer had not been fully explored. This study investigated potential biomarkers based on ARGs to improve prognosis and treatment effect in colon cancer.
methodsARGs associated with colon cancer prognosis were identified using Cox regression analysis and LASSO analysis. Furthermore, a prognostic model was constructed in colon cancer based on the 3 ARGs, and its biological function were analyzed. We evaluated the differences in tumor immune microenvironment based on prognostic signature. Finally, cell experiments confirmed the function of genes in colon cancer.
resultsThe prognostic value of ARGs in colon cancer patients has been comprehensively analyzed for the first time and identified 3 ARGs with prognostic values. A prognosis risk model was constructed based on 3 ARGs and its prognostic value was validated on an independent external colon cancer dataset. In colon cancer patients, this prognostic feature was an independent risk factor and was significantly correlated with clinical feature information of colon cancer patients. This feature was also related to the immune microenvironment of colon cancer. Cell experiments showed that high expression of TNF Receptor Superfamily Member 1B (TNFRSF1B) significantly promoted apoptosis and inhibited proliferation of colon cancer cells. Therefore, TNFRSF1B may become an important regulatory factor in the progression of colon cancer by participating in intracellular functional regulation.
conclusionsThis study constructed a prognostic risk model based on three ARGs and for the first time discovered that TNFRSF1B may become an important regulatory factor in cancer progression by participating in intracellular functional regulation.
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