Author/Authors :
Zamanian Azodi, Mona Proteomics Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Rezaei Tavirani, Mostafa Proteomics Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Rostami-Nejad, Mohammad Gastroenterology and Liver Diseases Research Center - Research Institute for Gastroenterology and Liver Diseases - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Rezaei-Tavirani, Majid Faculty of Medicine - Iran University of Medical Sciences, Tehran, Iran
Abstract :
Background: Bladder cancer (BC) has remained as one of the most challenging issues in medicine.
The aim of this study was to investigate the differential network analysis of stages 2 and
4 of BC to better understand the molecular pathology of these states. Materials and Methods:
We chose gene expression data of GSE52519 from Gene Expression Omnibus (GEO) database
analyzed by the GEO2R online tool. Cytoscape version 3.6.1 and its algorithms are the methods
applied for the network construction and investigation of differentially expressed genes (DEG)
in these states. Result: Our result revealed that the analysis DEGs provides useful information
about a common molecular feature of stages 2 and 4 of BC. Conclusion: Consequently, the network
finding revealed that more investigation about stage 2 is required to achieve an effective
therapeutic protocol to block the transition from stage 2 to stage 4.
Keywords :
Bladder Neoplasm , Transcriptome , Protein Interaction Maps , Biomarkers
