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肺腺癌的基因表达谱分析

Gene expression profiling analysis of lung adenocarcinoma.

作者信息

Xu H, Ma J, Wu J, Chen L, Sun F, Qu C, Zheng D, Xu S

机构信息

Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.

出版信息

Braz J Med Biol Res. 2016 Mar;49(3). doi: 10.1590/1414-431X20154861. Epub 2016 Feb 2.

Abstract

The present study screened potential genes related to lung adenocarcinoma, with the aim of further understanding disease pathogenesis. The GSE2514 dataset including 20 lung adenocarcinoma and 19 adjacent normal tissue samples from 10 patients with lung adenocarcinoma aged 45-73 years was downloaded from Gene Expression Omnibus. Differentially expressed genes (DEGs) between the two groups were screened using the t-test. Potential gene functions were predicted using functional and pathway enrichment analysis, and protein-protein interaction (PPI) networks obtained from the STRING database were constructed with Cytoscape. Module analysis of PPI networks was performed through MCODE in Cytoscape. In total, 535 upregulated and 465 downregulated DEGs were identified. These included ATP5D, UQCRC2, UQCR11 and genes encoding nicotinamide adenine dinucleotide (NADH), which are mainly associated with mitochondrial ATP synthesis coupled electron transport, and which were enriched in the oxidative phosphorylation pathway. Other DEGs were associated with DNA replication (PRIM1, MCM3, and RNASEH2A), cell surface receptor-linked signal transduction and the enzyme-linked receptor protein signaling pathway (MAPK1, STAT3, RAF1, and JAK1), and regulation of the cytoskeleton and phosphatidylinositol signaling system (PIP5K1B, PIP5K1C, and PIP4K2B). Our findings suggest that DEGs encoding subunits of NADH, PRIM1, MCM3, MAPK1, STAT3, RAF1, and JAK1 might be associated with the development of lung adenocarcinoma.

摘要

本研究筛选了与肺腺癌相关的潜在基因,旨在进一步了解疾病发病机制。从基因表达综合数据库下载了GSE2514数据集,该数据集包含来自10例年龄在45 - 73岁的肺腺癌患者的20个肺腺癌组织样本和19个相邻正常组织样本。使用t检验筛选两组之间的差异表达基因(DEG)。通过功能和通路富集分析预测潜在基因功能,并使用Cytoscape构建从STRING数据库获得的蛋白质-蛋白质相互作用(PPI)网络。通过Cytoscape中的MCODE对PPI网络进行模块分析。总共鉴定出535个上调的DEG和465个下调的DEG。这些基因包括ATP5D、UQCRC2、UQCR11以及编码烟酰胺腺嘌呤二核苷酸(NADH)的基因,它们主要与线粒体ATP合成偶联电子传递相关,并富集在氧化磷酸化途径中。其他DEG与DNA复制(PRIM1、MCM3和RNASEH2A)、细胞表面受体连接的信号转导和酶联受体蛋白信号通路(MAPK1、STAT3、RAF1和JAK1)以及细胞骨架和磷脂酰肌醇信号系统的调节(PIP5K1B、PIP5K1C和PIP4K2B)有关。我们的研究结果表明,编码NADH亚基、PRIM1、MCM3、MAPK1、STAT3、RAF1和JAK1的DEG可能与肺腺癌的发生发展有关。

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