Identification of Pyroptosis-Relevant Signature in Tumor Immune Microenvironment and Prognosis in Skin Cutaneous Melanoma Using Network Analysis

Figure 11

The nomogram and survival decision tree were produced for improving risk stratification and predicting the survival probability. (a) Cases who had complete annotations such as T stage, N stage, PPRS, and age were applied in constructing the survival decision tree for optimizing risk stratification. (b–d) Differences in OS (b), PPRS scores (c), and living states (d) were significant across the 6 risk groups. (e) Detailed information of the nomogram. (f) Our constructed PPRS and nomogram were highly accurate based on calibration analysis. (g) Decision-making curve of the nomogram. (h) Relative to additional clinicopathological factors, our as-constructed PPRS and nomogram performed well in predicting survival.

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