Author/Authors :
Peyvandi, Hassan Hearing Disorders Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Peyvandi, Ali Asghar Hearing Disorders Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Safaei, Akram Proteomics Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , 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
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.
Keywords :
Cytoscape , Biomarker panel , PPI network analysis , Human laryngeal cancer