Fig. 7

Identification of universal dysregulated genes and potential therapeutic drugs. A, B Volcano diagram of differentially expressed genes in TCGA and Clarissa datasets. Limma with FDR less than 0.05 was considered to be significant. C Venn map of DEGs between TCGA and Clarissa cohorts. D Correlation heatmap between 39 universal genes and ssGSEA scores of fifty oncogenic pathways. Red (blue) dots represented a negative (positive) relationship. E The dysregulated frequency of 39 genes in TCGA and Clarissa datasets. F, G The dysregulation frequency of 39 universal DEGs in TCGA and Clarissa datasets. H Drug connectivity analysis using alteration-specific transcriptional signatures (CLUE, L1000). Twenty compounds that most strongly reverse or enhance the signature are highlighted