Identification of Novel Biomarkers for Predicting Prognosis and Immunotherapy Response in Head and Neck Squamous Cell Carcinoma Based on ceRNA Network and Immune Infiltration Analysis

Figure 4

Construction and validation of the immune cells related prognostic model. (a) Distribution of 22 immune cell subtypes estimated by CIBERSORT in HNSCC. (b) Heatmap showing the levels of 22 immune cell subtypes in tumor and normal samples. (c–e) LASSO and multivariate Cox regression were used to investigate the correlation between OS and immune cell infiltration. (f, g) ROC and Kaplan–Meier survival curves showing the accuracy of immune cell subtypes and related prognostic models for predicting OS. (h) Univariate analysis and (i) multivariate Cox regression analysis confirmed the independence of the immune cell-related prognostic model.

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