Fig. 3From: Enhancing prognostic accuracy in head and neck squamous cell carcinoma chemotherapy via a lipid metabolism-related clustered polygenic modelThe LMRS model was generated and predicted the prognosis of HNSCC. A-B, The LMRS model was constructed using the eight signature genes found to be highly linked with overall survival (OS) in LASSO Cox regression. C, The scores of patients with TCGA-HNSCCs who received systematic therapy. D, Survival status of patients among TCGA-HNSCCs who received systematic therapy. E, Survival time of patients among TCGA-HNSCCs who received systematic therapy. F, The ROC curve and AUC for the LMRS model at 1, 3, and 5 years. G, The differences in LMRS model gene expression between normal and tumor groups in the TCGA HNSCC dataset. H, OS nomogram; I, OS nomogram model calibration curve. J, Forest plot of the univariate analysis for the LMRS model. K, Forest plot for multivariate analysis of the model. L, ROC curve for genes included in the LMRS modelBack to article page