Research Paper Volume 13, Issue 2 pp 2780—2802

Identification of a novel immune microenvironment signature predicting survival and therapeutic options for bladder cancer

Prognostic significance and predictive accuracy of the immune-related risk model. (A, B) Univariate (A) and multivariate (B) Cox regression analyses of the risk scores of the clinical features for overall survival in TCGA-BLCA dataset. (C) ROC curve showing the specificity and sensitivity of the 10-gene signature risk score, age, gender clinical stage, T stage and lymph nodes status in predicting the OS of all UBC patients in the TCGA-BLCA dataset.

Figure 7. Prognostic significance and predictive accuracy of the immune-related risk model. (A, B) Univariate (A) and multivariate (B) Cox regression analyses of the risk scores of the clinical features for overall survival in TCGA-BLCA dataset. (C) ROC curve showing the specificity and sensitivity of the 10-gene signature risk score, age, gender clinical stage, T stage and lymph nodes status in predicting the OS of all UBC patients in the TCGA-BLCA dataset.