Research Paper Volume 13, Issue 14 pp 19028—19047

Development and validation of prognostic model based on the analysis of autophagy-related genes in colon cancer

OS-related prognostic model of colon cancer patients. (A) The prognostic model distribution of colon cancer patients. (B) Survival status of patients in the TCGA dataset. (C) Heat map of the expression profile of the included ARGs. (D) The Kaplan-Meier survival curve showed that patients in the high-risk group have a significantly shorter overall survival. (E) Principal component analysis (PCA) plot. (F) T-distributed stochastic neighbor embedding (t-SNE) analysis. (G) Survival-dependent ROC curves validate the prognostic significance of ARGs-based prognostic indicators.

Figure 5. OS-related prognostic model of colon cancer patients. (A) The prognostic model distribution of colon cancer patients. (B) Survival status of patients in the TCGA dataset. (C) Heat map of the expression profile of the included ARGs. (D) The Kaplan-Meier survival curve showed that patients in the high-risk group have a significantly shorter overall survival. (E) Principal component analysis (PCA) plot. (F) T-distributed stochastic neighbor embedding (t-SNE) analysis. (G) Survival-dependent ROC curves validate the prognostic significance of ARGs-based prognostic indicators.