Research Paper Volume 13, Issue 1 pp 794—812

Systematic construction and validation of an epithelial–mesenchymal transition risk model to predict prognosis of lung adenocarcinoma

Verification of the predictive value of the ERG signature for LUAD in the validation set (GSE31210). (A) Risk signature rank and score distribution. (B) Heatmap of the mRNA expression levels of the nine genes included in the signature. (C) Distribution of patients in the high- and low-risk groups based on their survival status (OS). (D) Distribution of patients in the high- and low-risk groups based on their survival status (RFS). (E) OS of the patients in the low- and high-risk groups. (F) RFS of the patients in the low- and high-risk groups. (G) Time-dependent ROC curve analysis for the prediction of 1-, 3-, and 5-year OS using the ERG signature. (H) Time-dependent ROC curve analysis for the prediction of 1-, 3-, and 5-year RFS using the ERG signature.

Figure 5. Verification of the predictive value of the ERG signature for LUAD in the validation set (GSE31210). (A) Risk signature rank and score distribution. (B) Heatmap of the mRNA expression levels of the nine genes included in the signature. (C) Distribution of patients in the high- and low-risk groups based on their survival status (OS). (D) Distribution of patients in the high- and low-risk groups based on their survival status (RFS). (E) OS of the patients in the low- and high-risk groups. (F) RFS of the patients in the low- and high-risk groups. (G) Time-dependent ROC curve analysis for the prediction of 1-, 3-, and 5-year OS using the ERG signature. (H) Time-dependent ROC curve analysis for the prediction of 1-, 3-, and 5-year RFS using the ERG signature.