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. 2021 Mar 22;4:383. doi: 10.1038/s42003-021-01911-x

Fig. 4. The Cox regression and ROC analyses of the TIR signature in predicting the survival of melanoma patients.

Fig. 4

a, b The univariate (a) and multivariate (b) Cox regression analyses of the TIR risk score, age, gender, stage, and TNM classification in the TCGA cohort. c, d The univariate (c) and multivariate (d) Cox regression analysis of the TIR risk score, age, and gender in the GEO validation set GSE65904. In a–d, the colored blocks represent the hazard ratio and the horizontal bars extend from the lower limit to the upper limit of the 95% confidence interval of the estimate of the hazard ratio. e Receiver operating characteristics (ROC) curves of the sensitivity and specificity of the TIR signature in predicting the overall survival (OS) of patients in the TCGA cohort. The area under the curve (AUC) values for the TIR risk score, age, gender, stage, and TNM classification were calculated based on the ROC curves of the TCGA cohort. f The AUC values for the TIR risk score, age, and gender were calculated based on the ROC curves of the GEO validation cohort GSE65904. g ROC curves of the sensitivity and specificity of the TIR signature and other biomarkers in predicting the OS of patients in the TCGA cohort. h ROC curves of the sensitivity and specificity of the TIR signature and other biomarkers in predicting the OS of patients in the GEO validation cohort GSE65904.