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基于生物信息学分析鉴定肺腺癌相关差异表达基因。

Identification of differentially expressed genes associated with lung adenocarcinoma via bioinformatics analysis.

机构信息

Department of Medical Genetics and Cell Biology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.

出版信息

Gen Physiol Biophys. 2021 Jan;40(1):31-48. doi: 10.4149/gpb_2020037.

DOI:10.4149/gpb_2020037
PMID:33655889
Abstract

Lung adenocarcinoma (LUAD) with extremely high morbidity as well as mortality is still in the exploration stage of pathogenesis and treatment. This study aimed to screen and identify differentially expressed genes (DEGs) associated with LUAD via bioinformatics analysis. Three LUAD microarray datasets, GSE116959, GSE68571 and GSE40791, were selected from the Gene Expression Omnibus (GEO) database to analyze the DEGs. 128 DEGs were identified in all, incorporating 36 upregulated and 92 downregulated. Function and pathway enrichment analyses showed that metabolic pathways were their main signaling pathways. After that, seven hub genes including VWF, SPP1, PECAM1, TOP2A, CDK1, UBE2C and KIF23 were mined by the protein-protein interaction (PPI) network. Gene expression analysis, TNM and survival analysis of these hub genes were performed via Gene Expression Profiling Interactive Analysis (GEPIA) online database. Further analysis indicated that TOP2A, CDK1, UBE2C and KIF23 were related to the stage of LUAD patients and overall survival. Then, we verified the relative expression levels of TOP2A, CDK1, UBE2C and KIF23 in LUAD cell lines by qRT-PCR. In conclusion, this study indicated that the four hub genes screened out by bioinformatics analysis were differentially expressed in LUAD compared to normal sample and might be prognostic markers of LUAD.

摘要

肺腺癌 (LUAD) 的发病率和死亡率极高,其发病机制和治疗仍处于探索阶段。本研究旨在通过生物信息学分析筛选和鉴定与 LUAD 相关的差异表达基因 (DEGs)。从基因表达综合数据库 (GEO) 中选择了三个 LUAD 微阵列数据集 GSE116959、GSE68571 和 GSE40791 来分析 DEGs。总共鉴定出 128 个 DEGs,其中包括 36 个上调和 92 个下调基因。功能和通路富集分析表明,代谢途径是它们的主要信号通路。之后,通过蛋白质-蛋白质相互作用 (PPI) 网络挖掘了七个枢纽基因,包括 VWF、SPP1、PECAM1、TOP2A、CDK1、UBE2C 和 KIF23。通过在线数据库 Gene Expression Profiling Interactive Analysis (GEPIA) 对这些枢纽基因进行基因表达分析、TNM 和生存分析。进一步分析表明,TOP2A、CDK1、UBE2C 和 KIF23 与 LUAD 患者的分期和总生存期有关。然后,我们通过 qRT-PCR 验证了 LUAD 细胞系中 TOP2A、CDK1、UBE2C 和 KIF23 的相对表达水平。总之,本研究表明,生物信息学分析筛选出的四个枢纽基因在 LUAD 与正常样本相比表达存在差异,可能是 LUAD 的预后标志物。

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