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Fig. 5 | Hereditas

Fig. 5

From: A co-expression network for differentially expressed genes in bladder cancer and a risk score model for predicting survival

Fig. 5

Performance of the risk score model in the training dataset and testing dataset. a ROC curve estimating the performance of the risk score model predicting first, third, and fifth-year survival in the TCGA dataset (training dataset). b Multivariate Cox regression analysis for the risk score model and other clinical traits. Hazard ratios, 95% confidence intervals, and P-value were displayed. c The correlation between the risk score and other clinical traits were calculated via independent t-test, corresponding P-values were shown at the top. d ROC curve estimating the performance of the risk score model predicting first, third, and fifth-year survival in the GSE13507 dataset (testing dataset). e Kaplan-Meier survival plots for high and low risk score groups in the GSE13507 dataset. f The detail information of the low and high score groups in the GSE13507 dataset (upper); the survival status and time of GSE13507 cohort (middle); heatmap for the TPST1 and P3H4 expression in the GSE13507 dataset, the color from green to red shows a trend from the low expression to the high expression (lower). g A prognostic nomogram for predicting first, third and fifth-year survival rate was delineated

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