Figure 4
From: Duality of the SVIL expression in bladder cancer and its correlation with immune infiltration
SVIL expression can predict prognosis bladder cancer patients. ROC analysis of SVIL mRNA expression level in TCGA-BLCA (A) and GSE13507 (B). Kaplan–Meier survival analysis based on the TCGA-BLCA reveals the OS (C), PFI (D), and DSS (E) with SVIL expression in TCGA-BLCA. Univariate (F) and multivariate (G) Cox regression analyses showed that elevated SVIL expression was an independent risk factor for prognosis in TCGA-BLCA. Nomogram (H), calibration curve (I), and ROC curve (J) were plotted to evaluate SVIL to predict survival time in TCGA-BLCA. AUC area under the curve, ROC receiver operating characteristic.
