ArticleWorld journal of surgical oncology2020
Prediction and identification of immune genes related to the prognosis of patients with colon adenocarcinoma and its mechanisms.
Article in World journal of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 15 citations in OpenAlex.
- Institution-level framework to estimate the impact of BMI on operative decision-making in patients undergoing colorectal surgery in a provincial cohort.Surgical endoscopy · 2026Article
- New proteomic signature in circulating extracellular vesicles from tumor-draining and peripheral veins of patients with lung adenocarcinoma.Cancer cell international · 2026Article
- Unraveling BCR Repertoire Diversity and its Impact on Glucocorticoid Therapy in Pediatric Idiopathic Nephrotic Syndrome.Journal of clinical immunology · 2026Article
- IGFBP1 promotes the proliferation and migration of lung adenocarcinoma cells through the PPARα pathway.Translational oncology · 2024Article
- Identification of the six-hormone secretion-related gene signature as a prognostic biomarker for colon adenocarcinoma.Cancer biomarkers : section A of Disease markers · 2023Article
- Novel six-gene prognostic signature based on colon adenocarcinoma immune-related genes.BMC bioinformatics · 2022Article
- Integrated analysis of 1804 samples of six centers to construct and validate a robust immune-related prognostic signature associated with stromal cell abundance in tumor microenvironment for gastric cancer.World journal of surgical oncology · 2022Article
- The downregulation of NCXs is positively correlated with the prognosis of stage II-IV colon cancer.World journal of surgical oncology · 2021Article
- Comprehensive analyses of correlation and survival reveal informative lncRNA prognostic signatures in colon cancer.World journal of surgical oncology · 2021Article
- Identification of the hub genes in gastric cancer through weighted gene co-expression network analysis.PeerJ · 2021Article
- A Prognostic Model for Brain Glioma Patients Based on 9 Signature Glycolytic Genes.BioMed research international · 2021Article
- Hypoxia-Related Gene-Based Signature Can Evaluate the Tumor Immune Microenvironment and Predict the Prognosis of Colon Adenocarcinoma Patients.International journal of general medicine · 2021Article
- Mining novel cell glycolysis related gene markers that can predict the survival of colon adenocarcinoma patients.Bioscience reports · 2020Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundColon adenocarcinoma (COAD) is a gastrointestinal tumor with a high degree of malignancy. Its deterioration process is closely related to the tumor microenvironment, and transcription factors (TF) play a regulatory role in this process. Currently, there is a lack of exploration between the genes related to the COAD tumor microenvironment and the survival prognosis of patients. Models composed of multiple genes usually predict the survival prognosis of patients more accurately than single genes. We can analyze the multigene models that can predict the prognosis of COAD from the current database.
methodsThe limma package of the R programming language is used for gene differential expression analysis. Kaplan-Meier curve is used to analyze the relationship between the patient risk score model and survival data. The hazard model is used to analyze the relationship between the risk score and the clinical data of COAD patients. The information of immune genes and immune cells is obtained from IMMPORT database and TIMER database. Receiver operating characteristic (ROC) curve is used to judge the stability of the model.
resultsWe found 7 immune genes, which can built a risk score model to predict the survival prognosis of COAD. According to univariate and multivariate analysis, the risk score can be used as an independent predictor. The content of some immune microenvironment cells will also increase as the risk score increases.
conclusionsWe found 7 immune genes, such as SLC10A2 (solute carrier family 10 member 2), CXCL3 (C-X-C motif chemokine ligand 3), IGHV5-51 (immunoglobulin heavy variable 5-51), INHBA (inhibin subunit beta A), STC1 (stanniocalcin 1), UCN (urocortin), and OXTR (oxytocin receptor), can constitute a model for predicting the prognosis of COAD. They may provide potential therapeutic targets for clinical treatment of COAD.
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