By this current pathway analysis approach to the GSE7476 bladder cancer datasets, we can say that genes like ERBB2, TYMP, CDH1, TP53, DAPK1, CCND1, FGFR3, KRAS, E2F3, CDKN2A, VEGFA, MMP1 can be used as prognosis markers for bladder cancer gene expression study. Here, DAPK1 is linked to urinary bladder cancer.