基于网络研究的膀胱癌2期与4期表达谱的比较生物信息学特征
Comparative Bioinformatics Characteristic of Bladder Cancer Stage 2 from Stage 4 Expression Profile: A Network-Based Study.
作者信息
Zamanian Azodi Mona, Rezaei Tavirani Mostafa, Rostami-Nejad Mohammad, Rezaei-Tavirani Majid
机构信息
Student Research Committee, Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
出版信息
Galen Med J. 2018 Dec 17;7:e1279. doi: 10.22086/gmj.v0i0.1279. eCollection 2018.
BACKGROUND
Bladder cancer (BC) has remained as one of the most challenging issues in medicine. The aim of this study was to investigate the differential network analysis of stages 2 and 4 of BC to better understand the molecular pathology of these states.
MATERIALS AND METHODS
We chose gene expression data of GSE52519 from Gene Expression Omnibus (GEO) database analyzed by the GEO2R online tool. Cytoscape version 3.6.1 and its algorithms are the methods applied for the network construction and investigation of differentially expressed genes (DEG) in these states.
RESULT
Our result revealed that the analysis DEGs provides useful information about a common molecular feature of stages 2 and 4 of BC.
CONCLUSION
Consequently, the network finding revealed that more investigation about stage 2 is required to achieve an effective therapeutic protocol to block the transition from stage 2 to stage 4.
背景
膀胱癌（BC）一直是医学领域最具挑战性的问题之一。本研究的目的是调查BC 2期和4期的差异网络分析，以更好地理解这些阶段的分子病理学。
材料与方法
我们从基因表达综合数据库（GEO）中选择了GSE52519的基因表达数据，并通过GEO2R在线工具进行分析。Cytoscape 3.6.1版本及其算法是用于构建网络和研究这些状态下差异表达基因（DEG）的方法。
结果
我们的结果表明，对DEG的分析提供了有关BC 2期和4期共同分子特征的有用信息。
结论
因此，网络研究表明，需要对2期进行更多研究，以制定有效的治疗方案来阻止从2期到4期的转变。
Zotero 插件