Skip to main content
Fig. 8 | Journal of Translational Medicine

Fig. 8

From: Leveraging a cuproptosis-based signature to predict the prognosis and drug sensitivity of cutaneous melanoma

Fig. 8

Construction of prognosis nomogram based on clinical features and CRSS. A. Univariate and multivariate COX regression analysis of CRSS and other clinical characteristics of all CM patients in the training cohort. B. Using CRSS and other clinical features of CM patients to construct prognostic Nomogram in the training cohort. The scoring function of each variable and the formula for calculating the survival rate are shown on the right and bottom of the graph, respectively. C. KM analysis was used to compare the difference of immunotherapy effect between high and low CRRS groups in training cohort. D. Calibration curve analysis validate the stability of the model. E. DCA evaluates the clinical practicability of the model and calculates and compares the clinical benefit rate of each model. F, H. Using ROC analysis to evaluate the ability and accuracy of the model to predict 3 -, 5-and 7-year OS in patients with CM

Back to article page