A Predictive Model Based on Pyroptosis-Related Gene Features Can Effectively Predict Clear Cell Renal Cell Carcinoma Prognosis and May Be an Underlying Target for Immunotherapy

Figure 4

Establishment of risking model in TCGA cohort. (a) Cox univariate study to determine the forest plot of the association between 14 PRGs and OS. (b) The best nine genes associated with OS were screened in LASSO regression model. (c) LASSO coefficient distribution determined by optimal lambda. (d) Distribution of patients according to risking value. (e) Kaplan–Meier profiles for overall survival in high as well as low risk patients. (f) Surviving condition of every sick person (low risk population: left dashed line; high risk population: right dashed line). (g) PCA and t-SNE plots of ccRCC according to risking score. (h) ROC profile demonstrates the prediction efficiency of risking value.

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