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| 基于TCGA和Oncomine数据库分析肺腺癌预后基因表达及临床意义 | |
| 引用本文： | 李经蕾,侯炜. 基于TCGA和Oncomine数据库分析肺腺癌预后基因表达及临床意义[J]. 现代肿瘤医学, 2022, 0(5): 819-823. DOI: 10.3969/j.issn.1672-4992.2022.05.013 |
| 作者姓名： | 李经蕾 侯炜 |
| 作者单位： | 1.中国中医科学院广安门医院，北京 100053;2.北京中医药大学，北京 100029 |
| 基金项目： | 北京市科学技术委员会计划资助项目(编号:D161100005116001)。 |
| 摘 要： | 目的:利用生物信息大数据分析方法,对肿瘤基因组图谱数据库(TCGA)和肿瘤芯片数据库(Oncomine)进行分析,探究与肺腺癌(lung adenocarcinoma, LUAD)预后相关的生物标志物及药物作用靶点。方法:综合TCGA的RNA-seq数据,利用R 4.0.2进行加权基因共表达网络(WGCNA)分析,确定关键基因集,同时利用STRING进行蛋白互作网络(PPI)分析,筛选出LUAD中调节蛋白表达量的关键基因,再结合Oncomine分析决定LUAD预后的生物标志物。结果:共获得关键模块一个,包含549个基因,它们与纤毛运动、异种生物代谢过程、钾离子跨膜转运蛋白活性的负调控等相关功能密切相关。PPI分析得到20个关键节点基因。Oncomine数据库综合分析确定细胞周期蛋白O(CCNO)在肺癌组织中高表达,生存分析结果显示其与LUAD患者预后密切相关。结论:本研究通过对TCGA和Onomine的综合数据分析,发现CCNO很可能在LUAD的发生发展过程中发挥重要作用。 |
| 关 键 词： | 肺腺癌 TCGA Oncomine WGCNA 生物标志物 |
Analysis of prognostic gene expression of lung adenocarcinoma based on TCGA and Oncomine databases and its clinical significance |
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| LI Jinglei,HOU Wei. Analysis of prognostic gene expression of lung adenocarcinoma based on TCGA and Oncomine databases and its clinical significance[J]. Journal of Modern Oncology, 2022, 0(5): 819-823. DOI: 10.3969/j.issn.1672-4992.2022.05.013 | |
| Authors: | LI Jinglei HOU Wei |
| Affiliation: | 1.Guang'anmen Hospital,China Academy of Chinese Medical Sciences,Beijing 100053,China;2.Beijing University of Chinese Medicine， Beijing 100029,China. |
| Abstract: | Objective:To through the bioinformatics big data analysis method, the TCGA database and Oncomine database were analyzed to explore the biomarkers and drug targets related to the prognosis of lung adenocarcinoma.Methods:Based on the RNA-seq data of TCGA,the key gene set was determined by WGCNA analysis with R 4.0.2.Protein interaction network(PPI) analysis was carried out by STRING,and the key genes regulating protein expression in LUAD were screened.The biomarkers that determine the prognosis of LUAD were analyzed by Oncomine.Results:In this study, a key module was obtained, including 549 genes, which were closely related to cilia movement, the metabolic process of heterogeneous organisms, and the negative regulation of potassium transmembrane transporter activity.20 key node genes were obtained by PPI analysis.The high expression of CCNO in lung cancer was confirmed by comprehensive analysis of Oncomine database, and the results of survival analysis showed that it was closely related to the prognosis of patients with LUAD.Conclusion:In this study, through the comprehensive data analysis of TCGA and Onomine, it is found that CCNO may play an important role in the occurrence and development of LUAD. |
| Keywords: | lung adenocarcinoma TCGA Oncomine WGCNA biomarker |
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