  Background: Bladder cancer is the 10th most common cancer worldwide, and its
prevalence is increasing, especially in developing countries. Objective: In the
present study, we employed gene expression profiles from the GSE163209 data set
in the GEO database to identify potential molecular and genetic markers in BC
patients. Methods: The data set comprised 217 samples, with 113 stage Ta tumor
tissue samples and 104 stage T1 tumor tissue samples. The top 766 genes were
chosen. P.value<0.0001 and |logFC|=1 was used to change the cutoff criteria for
defining DEGs. Moreover, the MCODE plugin and cytoHubba plugin were employed to
produce a module and detect 20 hub genes in these DEGs. We used GO and KEGG
pathway enrichment analyses to get a better understanding of these DEGs.
Results: The KEGG pathway enrichment results indicated that the top genes were
mainly involved: Systemic lupus erythematosus, Alcoholism, and Viral
carcinogenesis. SLE activation in the renal glomeruli could explain the
connection between this disease's route and bladder cancer, and according to
our results and previous researches, heavy alcohol intake can increase the risk
of BC in males and particular populations. Conclusion: According to our hub
genes, we can consider CDK1 and NDC80 as bladder cancer biomarkers. Not much
research has been done on the effect of this gene on bladder cancer.
