Fig. 6

Validation of the risk model in the GSE42743 dataset. A GSEA analysis showed that glycolysis and hypoxia pathways were significantly enriched in the high-risk group. B The risk score of patients who died during follow-up was higher than that of alive patients. C Kaplan–Meier analysis showed that patients with higher risk scores had worse overall survival. D Principal component analysis suggested that risk score could be used as a new dimension to evaluate the prognosis of HNSCC patients. E The ROC curve showed the prediction efficiency of the risk score in the validation dataset for the survival rate of patients with HNSCC (AUC > 0.75). F The tROC analysis showed that the survival predictive ability of risk score was significantly higher than that of other clinical features. G Univariate and multivariate Cox regression analysis showed that risk score was an independent risk factor for PFS in patients with HNSCC. HR, hazard ratio; PFS, progression-free survival; tROC, time-dependent receiver operating characteristics