Fig. 1

A risk prediction model showed prognostic value for HNSCC, data from the TCGA. a A workflow chart of the study (MRs modification regulators). b The RNA expression of 36 modification regulators of mRNA in the TCGA cohort, clustered by heatmap. Tumour stage, age, clinical T, N and M stage, gender, tumour grade and modification types were considered for clustering. c A risk prediction model containing 10 modification regulators was constructed via stepwise regression in R with both direction methods, and patients could be defined as the high-risk and low-risk groups based on their risk scores. The survival time of patients decreased as the risk score of the model increased. The heatmap was generated to visualize the expression of the 10 risk genes. d The mRNA levels of the high-risk group, low-risk group in HNSCC and healthy people are shown. e The overall survival of patients based on the risk prediction model. The high-risk group had a lower survival probability than the low-risk group (log-rank test, P < 0.0001)