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Fig. 3 | Journal of Translational Medicine

Fig. 3

From: Metabolic reprogramming based on RNA sequencing of gemcitabine-resistant cells reveals the FASN gene as a therapeutic for bladder cancer

Fig. 3

Justification of the Prognostic Value of the RM-RM in Two BLCA Databases and Real-World Study. A Kaplan–Meier analysis for overall survival (OS) curves of patients in low or high drug resistance and metabolism-related risk score (RM-RS) subgroups from two independent validation cohorts (GSE69795, GSE31684). B The receiver operating characteristic (ROC) curves of 1-, 3-, and 5 year OS of patients in GSE69795 and of 3-, 5-, and 10 year OS of patients in GSE31684 were predicted based on RM-RS. (C) The ROC curve of RM-RS was compared with that of only other clinical features in GSE69795 and GSE31684. D Univariate and multivariate Cox regression analyses of RM-RS and only other clinical features in GSE69795 and GSE31684. E, F Immunohistochemical (IHC) staining was used to detect the protein expression of metabolism-related differentially expressed genes (RM-DEGs) (FASN, MAP2, BMP6, GPC2, CNOT6L, GALNT12 and CARD10) in 60 normal tissues and 170 tumor tissues. The immunohistochemical staining immune response score (IRS) score was statistically analyzed and the violin diagram shows a representative image. G, H pRM-RS was obtained by IRS and RM-RM. The median pRM-RS was divided into a high-risk group and a low-risk group, and KM analysis and difference analysis of other clinical features between the two subgroups were performed. *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001

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