Validation and Application of Prognostic Signature Based on Necroptosis-related Genes in Patients With Thyroid Carcinoma
Abstract ObjectiveTo explore the relationship between thyroid carcinoma (TC) and necroptosis, and to construct a related prognostic signature to assist in diagnosis and treatment.Methods and ResultsA total of 159 necroptosis-related genes (NRGs) were screened for in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database; 38 differentially expressed NRGs (DENGs) of TC were identified from The Cancer Genome Atlas/Genomic Data Commons database (TCGA/GDC); and GO, KEGG, and GSEA enrichment analysis showed that they were mostly related to cell necrosis, autophagy, P53, and other signaling pathways. Univariate and multivariate Cox regression and Lasso regression were used to screen for DENGs associated with prognosis, and a prognostic signature about BID, H2AC12, STAT1, IFNA21, IL1A was established. The patients were then divided into high-risk and low-risk groups according to the median value of the prognostic signature, and their overall survival (OS) was analyzed via the Kaplan-Meier method. The predictive accuracy was also determined using receiver operating characteristic (ROC) curve analysis. Additionally, we performed stratification analyses based on different clinical variables and evaluated the correlations between risk score and clinical variables. The independent prognostic value of the signature was further confirmed by multivariate Cox regression analysis, and decision curve analysis (DCA) was employed to evaluate the quality of the prognostic model and its clinical utility.ConclusionWe successfully constructed a novel necroptosis-related signature for the prediction of prognosis in patients with TC.