Predicting Radioresistant Biomarkers in Nasopharyngeal Carcinoma Patients Via Protein-Protein Interaction Network Analysis Publisher



Tavirani MR¹ ; Okhovatian F² ; Nejad MR³ ; Arjmand B⁴ ; Razzaghi Z⁵ Show Affiliations
Source: Journal of Lasers in Medical Sciences Published:2021

Abstract

Introduction: Radiotherapy as the first-line nasopharyngeal carcinoma (NPC) treatment provides different responses including radioresistant and radiosensitive states. In order to investigate the molecular basis of radioresistancy, protein-protein interaction network analysis of proteome data prior to therapy was performed. Methods: 20 dysregulated proteins of the patients who were radioresistant were extracted from the literature. Cytoscape and its plug-ins were used for the resistant network construction and its centrality analysis. Furthermore, ClueGO+ CluePedia application determined the most statistically significant biological processes (BP) related to the hubs. Results: Fourteen hubs were concluded and no differentially expressed protein (DEP) was among these agents. Among the hubs, albumin (ALB) and fibronectin (FN1) were the hub-bottlenecks, and the Serpin family was present. What is more, SERPIND1 was the highest degree-valued DEP in the network. Conclusion: It can be concluded that the central elements of the NPC network could be noteworthy for improving the radiotherapy outcome and overcoming its limitations. However, complementary studies are required for a better understanding of their major role. © 2021. Journal of Lasers in Medical Sciences. All Rights Reserved.