Differential Expression Analysis Basing on Bladder Cancer on Dataset GSE40355/GPL13497

Objective: This study aims to identify hub genes and key pathways associated with bladder cancer. Methods: bladder cancer related dataset GSE40355/GPL13497 was obtained from the GEO database, regarding algorithms were utilized to filter differentially expressed genes. GO analysis, KEGG analysis were run on the differentially expressed genes found. Furthermore, Protein-protein Interaction Network was built and hub genes were found based on the result. Results: 2,530 differentially expressed genes were found with the constrained conditions of |log 2(FC)| > 2.5, adj.P.value < 0.01. GO analysis indicates that the molecular functions of the differentially expressed genes found mostly enriched on cell adhesion molecule binding, actin binding, DNA-binding transcription activator activity (RNA polymerase II-specific), while the KEGG analysis showed that the signaling pathways mainly enriched on MAPK signaling pathway, cAMP signaling pathway and Calcium signaling pathway. Moreover, 7 hub genes located were significantly up-regulated or down-regulated. Conclusion: Genes related closely to bladder cancer were found through bioinformatical analysis, and 7 hub genes were obtained, therefore paved the way for the further researches.