Fig. 4

A LASSO regression of the mitochondrial dynamics-related genes. B Cross-validation for tuning the parameter selection in the LASSO regression. C The ROC curves of risk score and clinicopathological characteristics. D The ROC curves of the prognostic signature at 1, 3, and 5 years. E C-index of the prognostic signature compared with the clinicopathological characteristics. F The KM curves for the OS of patients in the high- and low-risk groups. G The heatmap showed the expression profiles of mitochondrial dynamics-related genes in the low- and high-risk groups. H The scatterplot based on the survival status of each sample. I The risk curve based on the risk score of each sample. J Dot plot for low- and high-risk groups identified by the t-SNE algorithm. K PCA plot. L The heatmap of model gene expressions and the clinicopathology factors between the two risk groups. M Univariate analysis. N Multivariate analysis. O A nomogram to facilitate the prognosis prediction. P Calibration curves of the nomogram for predicting 1, 3, 5-years OS. LASSO regression the least absolute shrinkage and selection operator regression, ROC curve receiver operating characteristic curve, KM curve Kaplan–Meier curve, OS overall survival, t-SNE t-distributed stochastic neighbor embedding, PCA principal component analysis. ** P < 0.01, *** P < 0.001