多个GEO芯片联合分析筛选鼻咽癌易感基因

doi:10.3969/j.issn.2095-9400.2020.01.001

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Abstract Objective: To screen the key genes of nasopharyngeal carcinoma (NPC) and to explore the pathogenesis of nasopharyngeal carcinoma. Methods: The differentially expressed genes (DEGs) in NPC were identified by Gene Expression Omnibus (GEO) combined with R language. Gene ontology (GO) database and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used for enrichment and functional annotation of DEGs. A protein-protein interaction (PPI) network was constructed based on STRING database and the key gene clusters and network nodes of NPC were further analyzed by Cytoscape software. Results: A total of 3 sets of nasopharyngeal cancer gene chip data were included. 116 differentially expressed genes with intersection in this 3 data sets were selected, including 69 up-regulated genes and 47 down-regulated genes. GO enrichment analysis of differentially expressed genes revealed abnormal cell division and spindle assembly, changes in protein biding and in extracellular body function, which were associated with the occurrence and development of nasopharyngeal carcinoma. Some intracellular signaling pathways of nasopharyngeal carcinoma were significantly altered, including DNA repair, extracellular matrix receptor interaction, cell cycle small cell lung cancer, human T-cell leukemia virus 1 infection, etc. The protein interaction network suggests that there are three important gene clusters and four key genes. Conclusion: Bioinformatics can effectively screen target genes and signal pathways, which provides new ideas for the treatment of nasopharyngeal carcinoma.

Key words： nasopharyngeal carcinoma bioinformatics signaling pathway

Received: 04 April 2019

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	WANG Xiaoqiong
	JIN Qiaozhi
	Chen Wubing
	Cai Zhiyi

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https://xb.wmu.edu.cn/EN/10.3969/j.issn.2095-9400.2020.01.001 OR https://xb.wmu.edu.cn/EN/Y2020/V50/I1/1

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