Development of a prognostic model based on an immunogenomic landscape analysis of colorectal cancer.
Screening and therapeutic programs for colorectal cancer (CRC) are invasive or not effective and unable to meet patient needs. Major advances in immunogenomics may change this status but need more exploration. Differentially expressed genes and immune-related genes (IRGs) were identified by computational methods. A prognostic model was established and validated based on survival-related IRGs via stepwise multivariate Cox regression analysis. Nine IRGs were selected and identified as survival-related genes. A 7-gene prognostic model could offer a preliminary and valid determination of risk in CRC patients. The area under the curve of the receiver operating characteristic was 0.672. The 7-gene prognostic model might be used as a novel prognostic tool in CRC patients.
['Li|H J|HJ|https://orcid.org/0000-0001-7340-6691', 'Wang|Y L|YL|', 'Ming|L|L|', 'Guo|X Q|XQ|', 'Li|Y L|YL|', 'Wang|J C|JC|', 'Zhang|Y Q|YQ|', 'Cheng|L|L|']
D014408:Biomarkers, Tumor D015179:Colorectal Neoplasms D030541:Databases, Genetic D020869:Gene Expression Profiling D015972:Gene Expression Regulation, Neoplastic D023281:Genomics D006801:Humans D007109:Immunity D011379:Prognosis D012372:ROC Curve D018570:Risk Assessment D016019:Survival Analysis
colorectal cancer differentially expressed genes 7-gene prognostic model The Cancer Genome Atlas