The PPI network and cluster ONE analysis to explain the mechanism of bladder cancer

F.-c. Wan, Y.-p. Cui, J.-T. Wu, J.-M. Wang, Q.-Z Liu, Z.-L. Gao

Department of Urology, Yantai Yuhuangding Hospital, Yantai, Shandong Province, China. gaozhenlizhenli@hotmail.com

---

• Oncology

BACKGROUND: Bladder cancer is a common cancer worldwide whose incidence continues to increase. It is estimated that there are 261,000 cases of bladder cancer resulting in 115,000 deaths worldwide.

AIM: Although some studies can be initiated using small local tissue collections, high quality collection of fresh tissues from new clinical trials will be crucial for proper evaluation of associations with clinical outcome. For superficial bladder cancer, identification of tumors that will progress has long been perceived as a potential application of genetic studies.

MATERIALS AND METHODS: In our study, we constructed the Protein-Protein Interactions (PPI) network using the Cytoscape and detected some network modeling clusters. In addition, we enriched GO categories among these genes in the first cluster and detected a pathway i.e. Spliceosome (hsa03040). Most Gene Ontology (GO) categories and Spliceosome were closely to RNA splicing and cellular macromolecular complex (CMC) assembly, which indicates that the mutation of RNA splicing and CMC assembly maybe important factors causing bladder cancer.

RESULTS: In our study, these clusters of GO:0034622, GO:0006397 and GO:0034621 in bladder cancer belong to cellular macromolecular complex assembly, which may play an important role in the occurrence of cancer cells.

CONCLUSIONS: It is a great significance for the detection and treatment of bladder cancer to understand the mechanism of RNA splicing and CMC assembly.

Free PDF Download