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Fig. 3 | European Journal of Medical Research

Fig. 3

From: Establishment and validation of an aging-related risk signature associated with prognosis and tumor immune microenvironment in breast cancer

Fig. 3

Establishment of prognostic risk model in TCGA. A Identification of prognosis-related genes via univariate cox analysis. B Differentially expressed TFs was shown in a volcano. C The regulatory network between TFs and ARGs. D Cross-validation for tuning the parameter selection in the LASSO regression. E 11 ARGs was identified via Lasso regression. F Screening the feature genes via SVM and obtaining 14 hub genes of importance. G Venn gram between Lasso and SVM. H PCA and TSNE plot for classification of patients based on the risk score. I Distribution of patients based on the risk score. J The survival status of patients (low-risk population: on the left side of the dotted line; high-risk population: on the right side of the dotted line). K Kaplan–Meier OS curves of patients between high and low-risk group. L ROC curves evaluated the predictive efficiency of the risk model

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