Establishing and Validating an Aging-Related Prognostic Signature in Osteosarcoma

Figure 9

Construction and validation of a nomogram combining the risk signature and clinicopathological features. (a) Patients with full-scale annotations including risk score, metastatic, gender, and age were used to build a survival decision tree to optimize risk stratification. (b) Comparison of OS of the four subgroups obtained from the decision tree analysis in the TCGA cohort. (c) Correlations between the four subgroups and the risk signature. (d) Correlations between the four subgroups and molecular subtypes. (e) Univariate and (f) multivariate Cox analyses of risk score and clinicopathological characteristics in the TCGA cohort. (g) A nomogram combining risk signature and metastasis was generated in the TCGA cohort. (h) Comparison of the calibration curve for 1-, 3-, and 5-year OS of nomogram. (i) Decision curves for the clinical net benefit of each model in comparison to all or none strategies. The -axis indicated the threshold probability, and the -axis indicated the net clinical benefit. (j) Time-dependent ROC curves comparing the prognostic accuracy of nomogram, age, gender, metastasis, and risk score in the TCGA cohort.

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