Fig. 2

Risk prognosis model construction of nine prognostic EMT-RGDs in TCGA data by unicox and lasso regression. A Survival curve comparing high-risk and low-risk groups by R package “survival”. B ROC curve of risk sore by R package “survivalROC”. C The distribution of risk score and the scatterplot of the relationship between risk scores and survival time by R package “ggplot”. D Heat map of prognostic EMT-RDGs and clinical parameters at high risk and low risk groups by R package “pheatmap”. E The univariate cox forest map of the clinical characteristics in the training set by R package “survival” and “forestplot”. F The multivariate cox forest plot of the clinical characteristics in the training set by R package “survival” and “forestplot”. G The nomogram baseline of multivariate cox analysis by R package “rms”. H ROC curve of 3-year survival. I ROC curve of 5-year survival by R package “survivalROC”. J 22 types of immune cells infiltration of high risk and low risk group in TCGA data by R package “e1071”, “parallel” and “preprocessCore”. *P < 0.05, **P < 0.01, ***P < 0.001, and ****P < 0.0001