Network analysis of liver cancer: a system biology approach.

Q3 Medicine
Babak Arjmand, Somayeh Jahani Sherafat, Mostafa Rezaei Tavirani, Maryam Hamzeloo Moghadam, Mohammad Amin Abbasi
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引用次数: 0

Abstract

Aim: Determining critical dysregulated proteins in liver cancer was the main aim of this study.

Background: Liver cancer is a common health problem characterized by difficulties in early diagnosis and rapid progression. Due to the lack of targeted drugs and the other features of the disease, the survival rate for patients is extremely low.

Methods: The related dysregulated proteins for liver cancer were retrieved from the STRING database. The queried proteins were included in a network by Cytoscape software, and the central nodes of the network were enriched via gene ontology.

Results: Among 11 introduced central nodes (GAPDH, TP53, EGFR, MYC, INS, ALB, IL6, AKT1, VEGFA, CDH1, and HRAS), HRAS and AKT1 were highlighted as critical dysregulated proteins which can be considered as possible biomarkers.

Conclusion: Analysis revealed that AKT1, HRAS and the related biochemical pathways (especially "HIF-1 signaling pathway") are the possible diagnostic and therapeutic agents of liver cancer.

Abstract Image

Abstract Image

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癌症的网络分析:一种系统生物学方法。
目的:检测癌症关键失调蛋白是本研究的主要目的。背景:癌症是一个常见的健康问题,其特点是早期诊断困难,进展迅速。由于缺乏靶向药物和该疾病的其他特征,患者的存活率极低。方法:从STRING数据库中检索癌症相关失调蛋白。通过Cytoscape软件将查询的蛋白质包含在网络中,并通过基因本体丰富网络的中心节点。结果:在11个引入的中心节点(GAPDH、TP53、EGFR、MYC、INS、ALB、IL6、AKT1、VEGFA、CDH1和HRAS)中,HRAS和AKT1被认为是关键的失调蛋白,可以被认为是可能的生物标志物。结论:AKT1、HRAS及其相关的生化通路(尤其是HIF-1信号通路)可能是癌症的诊断和治疗剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
29
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