Comparative Bioinformatics Characteristic of Bladder Cancer Stage 2 from Stage 4 Expression Profile: A Network-Based Study

Authors

  • Mona Zamanian Azodi Student Research Committee, Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Mostafa Rezaei-Tavirani Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Mohammad Rostami-Nejad Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology
  • Majid Rezaei-Tavirani Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran

DOI:

https://doi.org/10.31661/gmj.v7i.1279

Keywords:

Bladder Neoplasm, Transcriptome, Protein Interaction Maps, Biomarkers

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.[GMJ.2018;7:e1279]

 

References

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Published

2018-12-17

How to Cite

Zamanian Azodi, M., Rezaei-Tavirani, M., Rostami-Nejad, M., & Rezaei-Tavirani, M. (2018). Comparative Bioinformatics Characteristic of Bladder Cancer Stage 2 from Stage 4 Expression Profile: A Network-Based Study: . Galen Medical Journal, 7, e1279. https://doi.org/10.31661/gmj.v7i.1279

Issue

Vol. 7 (2018): 2018

Section

Original Article

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https://creativecommons.org/licenses/by/4.0/