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

Fig. 8

From: Metabolic classification of bladder cancer based on multi-omics integrated analysis to predict patient prognosis and treatment response

Fig. 8

Prognostic risk model based on characteristic genes of the metabolic subtypes. a Random survival forest analysis of characteristic metabolic genes between subtypes. b Lasso regression analysis of metabolic genes after random survival forest analysis. c Multivariate Cox analysis of metabolic genes. d Expression heat map between subtypes with the final screened target metabolic genes. e–h Prognostic model for overall survival, progression-free survival, and relapse-free survival in TCGA cohort, and for progression-free survival in the E-MTAB-4321 cohort. i–l Receiver operating characteristic curve corresponding to the overall survival, progression-free survival, and relapse-free survival in the prognostic model for TCGA cohort, and progression-free survival in the E-MTAB-4321 cohort

Back to article page

Journal of Translational Medicine

ISSN: 1479-5876

Contact us