Department of Gastroenterology, Nantong First People's Hospital, Nantong, Jiangsu 226014, China , ntyybobo@163.com
Abstract: (271 Views)
Background:The anti-tumor immune reaction has a critical part in the progression together with survival of colorectal cancer (CRC). The expression of T cell-inflamed gene as a potential indicator that predicts the reaction of immunogenic cancer types to checkpoint inhibitor immunotherapy, but its prognostic value in CRC is unclear. Materials and Methods: Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses identified enrichment analysis of T cell-inflamed associated genes. The prognostic model is built and the prognostic genes screened using the LASSO Cox regression model. Relationship among risk score, disease subtypes and immune infiltration was constructed. Besides, risk score was combined with clinicopathological features to further improve prognostic models and survival predictions. Results: We identified 14 T cell-inflamed associated genes were differential expressed in CRC tissues. GO along with KEGG analyses revealed that T cell-inflamed associated genes were implicated in the regulation of immune cells. Through LASSO Cox regression, a 5-gene prognostic model was constructed as well as classified all CRC patients into a low- or high-risk group or different disease subtypes (C1, C2 and C3). In the C3 group the OS rate of CRC patients was longer compared to the C1 group. Additionally, the prognosis Decision Curve Analysis (DCA) map displayed that the risk score was increased compared to the extreme curve and higher than other indicators, showing the strongest survival prediction ability. Conclusion: These results indicated that T cell-inflamed associated gene-based risk score reflected immune microenvironment features as well as predicted prognosis in CRC.