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 3

Development and validation of the ceRNA-related prognostic model. (a–c) LASSO and multivariate Cox regression analyses were applied to investigate the correlation between OS and ceRNAs. (d) ROC analysis showing the accuracy of the prediction model. (e) K-M survival curves comparing the high-risk and low-risk groups and the demonstrating predictive ability of our model. (f, g) Assessment of the independence of ceRNA-related prognostic model through (f) univariate and (g) multivariate Cox regression analyses. and value < 0.05 indicate poor prognostic factors. and values < 0.05 indicate favorable prognostic factors.

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