Fig. 2

Clinical and pathological factors involved in constructing the risk score model. (A) Univariate COX regression. (B) Multivariate COX regression.red scale:Hazard ratio > 1;green scale:Hazard ratio < 1. (C) ROC for 3-years survival rate. (D) ROC for 5-years survival rate. (E) The correlation analysis of critical autophagy genes with clinical factors. All patients are divided into two groups according to clinical characteristics. The R package “beeswarm” was used to do a t-test for comparing five hubs genes expression data and risks core with clinical characteristics among two groups. P < 0.05 was plotted and suggested that there were significant differences between them. In this figure, the middle horizontal line represented mean; the upper and down ones represented standard deviation. (F) Nomogram built by all high-risk factors. The R package “survival” was used to draw a point line through performing cox regression. Each impact factor corresponds to the corresponding score on the point line. All the points were added to get a total point. At the total point, a vertical line intersected with the survival rate line. Then, we could obtain the survival rate of each patient. (G) Calibration curve for 3-years prediction. (H) Calibration curve for 5-years prediction