Molecular Analysis of Radiation Resistance Process in Radioresistant Oesophageal Adenocarcinoma Cells

IF 0.4 Q4 ONCOLOGY
B. Arjmand, M. Rezaei-Tavirani, Maryam Hamzeloo-Moghadam3, Z. Razzaghi, M. Rezaei-Tavirani
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引用次数: 0

Abstract

Background: The radiation resistance process is a major problem in radiotherapy. Proteomics is a useful method to determine the molecular mechanism of biological and medical events. Protein-protein interaction (PPI) network is a suitable method for proteomics data interpretation. Objectives: Assessment of proteomics data about the radiation resistance process in human cell lines via PPI network analysis is the aim of this study. Methods: Proteomic data were extracted from literature and the differentially expressed proteins (DEPs) were included in the PPI network via the STRING database by Cytoscape software. The network was analyzed and the central nodes were introduced. The central nodes were assessed via action map analysis and gene ontology enrichment. Results: Among the 251 queried DEPs, 171 individuals were included in the PPI network. EGFR, FN1, CD44, PTGS2, NFKBIA, KEAP1, CTSD, PHGDH, and NT5E were introduced as the critical DEPs. Eight groups of biological terms were attributed to the introduced critical DEPs. EGFR, FN1, CD44, and PTGS2 were discriminated among the critical DEPs as the key dysregulated proteins. Conclusions: The results indicate that EGFR, FN1, CD44, and PTGS2 are the four essential proteins that are involved in radiation resistance in the radioresistant cells.
食管腺癌细胞耐辐射过程的分子分析
背景:放射抵抗过程是放射治疗中的一个主要问题。蛋白质组学是确定生物和医学事件的分子机制的有效方法。蛋白质-蛋白质相互作用(PPI)网络是一种适用于蛋白质组学数据解释的方法。目的:利用蛋白质组学方法对人体细胞系辐射抵抗过程的蛋白质组学数据进行分析。方法:从文献中提取蛋白质组学数据,并通过Cytoscape软件通过STRING数据库将差异表达蛋白(DEPs)纳入PPI网络。对网络进行了分析,介绍了网络的中心节点。通过动作图分析和基因本体富集对中心节点进行评估。结果:251名受访dep中,171人被纳入PPI网络。EGFR、FN1、CD44、PTGS2、NFKBIA、KEAP1、CTSD、PHGDH和NT5E作为关键dep被引入。8组生物学术语归因于引入的临界dep。EGFR、FN1、CD44和PTGS2在关键DEPs中被区分为关键的失调蛋白。结论:EGFR、FN1、CD44和PTGS2是辐射耐药细胞中参与辐射耐药的4种必需蛋白。
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
67
期刊介绍: International Journal of Cancer Management (IJCM) publishes peer-reviewed original studies and reviews on cancer etiology, epidemiology and risk factors, novel approach to cancer management including prevention, diagnosis, surgery, radiotherapy, medical oncology, and issues regarding cancer survivorship and palliative care. The scope spans the spectrum of cancer research from the laboratory to the clinic, with special emphasis on translational cancer research that bridge the laboratory and clinic. We also consider original case reports that expand clinical cancer knowledge and convey important best practice messages.
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