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通过蛋白质-蛋白质相互作用网络分析预测鼻咽癌患者的放射抗性生物标志物

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

作者信息

Rezaei Tavirani Mostafa, Okhovatian Farshad, Rostami Nejad Mohammad, Arjmand Babak, Razzaghi Zahra

机构信息

Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Physiotherapy Research Center, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

出版信息

J Lasers Med Sci. 2021 Dec 1;12:e76. doi: 10.34172/jlms.2021.76. eCollection 2021.

Abstract

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. 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. 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. 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.

摘要

放射治疗作为鼻咽癌(NPC)的一线治疗方法,会产生不同的反应,包括放射抵抗和放射敏感状态。为了探究放射抵抗的分子基础,对治疗前蛋白质组数据进行了蛋白质-蛋白质相互作用网络分析。从文献中提取了20例放射抵抗患者的失调蛋白。利用Cytoscape及其插件构建抵抗网络并进行中心性分析。此外,ClueGO+CluePedia应用程序确定了与枢纽相关的最具统计学意义的生物学过程(BP)。得出了14个枢纽,这些因子中没有差异表达蛋白(DEP)。在枢纽中,白蛋白(ALB)和纤连蛋白(FN1)是枢纽瓶颈,丝氨酸蛋白酶抑制剂家族也存在。此外,SERPIND1是网络中度数最高的DEP。可以得出结论,NPC网络的核心要素可能对改善放疗效果和克服其局限性具有重要意义。然而,需要进行补充研究以更好地理解它们的主要作用。

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