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

Construction and validation of a nomogram based on the ERG signature. (A) Nomogram based on the ERG signature and clinical information of patients with LUAD. (B) ROC curves of the nomogram for the prediction of OS in the training set. (C) ROC curves of the nomogram for the prediction of OS in the validation set (GSE31210). (D) ROC curves of the nomogram for the prediction of RFS in the validation set. (E) OS of the patients in the low- and high-risk scores based on the nomogram in the test set (GSE41271). (F) ROC curves of the nomogram for the prediction of OS in the test set.

Figure 9. Construction and validation of a nomogram based on the ERG signature. (A) Nomogram based on the ERG signature and clinical information of patients with LUAD. (B) ROC curves of the nomogram for the prediction of OS in the training set. (C) ROC curves of the nomogram for the prediction of OS in the validation set (GSE31210). (D) ROC curves of the nomogram for the prediction of RFS in the validation set. (E) OS of the patients in the low- and high-risk scores based on the nomogram in the test set (GSE41271). (F) ROC curves of the nomogram for the prediction of OS in the test set.