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Fig. 1 | Journal of Translational Medicine

Fig. 1

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

Fig. 1

Identification of Gemcitabine Resistance and Metabolism-Related Differentially Expressed Genes in BLCA. A By comparing T24 gemcitabine-resistant cells with nonresistant cells, a volcano map of differentially expressed genes (DEGs) was drawn. Blue represents downregulated genes, and red represents upregulated genes in drug-resistant cells. p < 0.05, |FC|> 2 B Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of DEGs. Adjusted p < 0.01, p < 0.05 C Venn diagram for the Resistance and Metabolism-related Differentially Expressed Genes (RM-DEGs) D, E, F Consensus clustering of TCGA BLCA cohorts based on the RM-DEGs. Consensus matrix for optimal k = 2. The optimal k = 2 for the principal component analysis (PCA) database. Kaplan‒Meier analysis was used to analyze the overall survival (OS) curve of patients in different groups. G, H RM-DEGs were concentrated and analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Adjusted p < 0.01 and p < 0.05

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