Peyvandi, H., Peyvandi, A., Safaei, A., Zamanian Azodi, M., Rezaei-Tavirani, M. (2018). Introducing Potential Key Proteins and Pathways in Human Laryngeal Cancer: A System Biology Approach. Iranian Journal of Pharmaceutical Research, 17(1), 415-425.
Hassan Peyvandi; Ali Asghar Peyvandi; Akram Safaei; Mona Zamanian Azodi; Mostafa Rezaei-Tavirani. "Introducing Potential Key Proteins and Pathways in Human Laryngeal Cancer: A System Biology Approach". Iranian Journal of Pharmaceutical Research, 17, 1, 2018, 415-425.
Peyvandi, H., Peyvandi, A., Safaei, A., Zamanian Azodi, M., Rezaei-Tavirani, M. (2018). 'Introducing Potential Key Proteins and Pathways in Human Laryngeal Cancer: A System Biology Approach', Iranian Journal of Pharmaceutical Research, 17(1), pp. 415-425.
Peyvandi, H., Peyvandi, A., Safaei, A., Zamanian Azodi, M., Rezaei-Tavirani, M. Introducing Potential Key Proteins and Pathways in Human Laryngeal Cancer: A System Biology Approach. Iranian Journal of Pharmaceutical Research, 2018; 17(1): 415-425.
Introducing Potential Key Proteins and Pathways in Human Laryngeal Cancer: A System Biology Approach
1Hearing Disorders Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Abstract
The most common malignant neoplasm of the head and neck region is laryngeal cancer which presents a significant international health problem. The present study aims to screen potential proteins related to laryngeal cancer by network analysis to further understanding disease pathogenesis and biomarker discovery. Differentially expressed proteins were extracted from literatures of laryngeal cancer that compare proteome profiling of patient›s tissue with healthy controls. The PPI network analyzed for up and down regulated proteins with Cytoscape Version 3.4. After PPI construction, topological properties of the two networks have been analyzed. Besides, by using MCODE. the Gene Ontology (GO) analysis, the related modules and pathways were examined. Our study screened 275 differentially changed proteins, including 136 up- and 139 down-regulated proteins. For each network, it has been considered 20 key proteins as hub and 20 as bottleneck. A number of 26 hub-bottleneck nodes is introduced for the two networks. A total of 11 modules including 6 downregulated and 5 upregulated network modules were obtained. The most significant GO function in the significant upregulated module was the RNA processing, and the most significant one in the downregulated module with highest score was the respiratory electron transport chain. Among 275 investigated proteins, 12 crucial proteins are determined that 4 of them can be introduce as a possible biomarker panel including YWHAZ, PPP2R1A, HSP90AA1, and CALM3 for human laryngeal cancer.
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