High Expression of UBB, RAC1, and ITGB1 Predicts Worse Prognosis among Nonsmoking Patients with Lung Adenocarcinoma through Bioinformatics Analysis

doi:10.1155/2020/2071593

	High Expression of UBB, RAC1, and ITGB1 Predicts Worse Prognosis among Nonsmoking Patients with Lung Adenocarcinoma through Bioinformatics Analysis
	Deng, Huan 1,2,3,6; Huang, Yichao 5; Wang, Li 4; Chen, Ming 1,2,3,6
刊名	BIOMED RESEARCH INTERNATIONAL
	2020-10-20
卷号	2020
ISSN号	2314-6133
DOI	10.1155/2020/2071593
通讯作者	Chen, Ming(chenming@zjcc.org.cn)
英文摘要	Purpose. The molecular mechanism underlying the tumorigenesis and progression of lung adenocarcinoma (LUAD) in nonsmoking patients remains unclear. This study was conducted to select crucial therapeutic and prognostic biomarkers for nonsmoking patients with LUAD. Methods. Microarray datasets from the Gene Expression Omnibus (GSE32863 and GSE75037) were analyzed for differentially expressed genes (DEGs). Gene Ontology (GO) enrichment analysis of DEGs was performed, and protein-protein interaction network was then constructed using the Search Tool for the Retrieval of Interacting Genes and Cytoscape. Hub genes were then identified by the rank of degree. Overall survival (OS) analyses of hub genes were performed among nonsmoking patients with LUAD in Kaplan-Meier plotter. The Cancer Genome Atlas (TCGA) and The Human Protein Atlas (THPA) databases were applied to verify hub genes. In addition, we performed Gene Set Enrichment Analysis (GSEA) of hub genes. Results. We identified 1283 DEGs, including 743 downregulated and 540 upregulated genes. GO enrichment analyses showed that DEGs were significantly enriched in collagen-containing extracellular matrix and extracellular matrix organization. Moreover, 19 hub genes were identified, and 12 hub genes were closely associated with OS. Although no obvious difference was detected in ITGB1, the downregulation of UBB and upregulation of RAC1 were observed in LUAD tissues of nonsmoking patients. Immunohistochemistry in THPA database confirmed that UBB and ITGB1 were downregulated, while RAC1 was upregulated in LUAD. GSEA suggested that ribosome, B cell receptor signaling pathway, and cell cycle were associated with UBB, RAC1, and ITGB1 expression, respectively. Conclusions. Our study provides insights into the underlying molecular mechanisms of the carcinogenesis and progression of LUAD in nonsmoking patients and demonstrated UBB, RAC1, and ITGB1 as therapeutic and prognostic indicators for nonsmoking LUAD. This is the first study to report the crucial role of UBB in nonsmoking LUAD.
资助项目	National Natural Science Foundation of China[81672972] ; Major Program of Provincial and Ministerial Co-construction, Ministry of Health Science Foundation[WKJ-ZJ-1701]
WOS关键词	CANCER ; GENES ; IDENTIFICATION ; SUPPRESSES ; MIGRATION ; TARGET ; SET
WOS研究方向	Biotechnology & Applied Microbiology ; Research & Experimental Medicine
语种	英语
出版者	HINDAWI LTD
WOS记录号	WOS:000591631200010
资助机构	National Natural Science Foundation of China ; Major Program of Provincial and Ministerial Co-construction, Ministry of Health Science Foundation
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/105320]
专题	中国科学院合肥物质科学研究院
通讯作者	Chen, Ming
作者单位	1.Zhejiang Canc Hosp, Zhejiang Key Lab Radiat Oncol, Hangzhou 310022, Peoples R China 2.Chinese Acad Sci, Inst Canc Res & Basic Med IBMC, Hangzhou 310022, Peoples R China 3.Univ Chinese Acad Sci, Dept Radiat Oncol, Canc Hosp, Zhejiang Canc Hosp, Hangzhou 310022, Peoples R China 4.Nanchang Univ, Jiangxi Med Coll, Nanchang 330006, Jiangxi, Peoples R China 5.Maoming Peoples Hosp, Dept Oncol, Maoming 525000, Peoples R China 6.Univ Chinese Acad Sci, Coll Life Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Deng, Huan,Huang, Yichao,Wang, Li,et al. High Expression of UBB, RAC1, and ITGB1 Predicts Worse Prognosis among Nonsmoking Patients with Lung Adenocarcinoma through Bioinformatics Analysis[J]. BIOMED RESEARCH INTERNATIONAL,2020,2020.
APA	Deng, Huan,Huang, Yichao,Wang, Li,&Chen, Ming.(2020).High Expression of UBB, RAC1, and ITGB1 Predicts Worse Prognosis among Nonsmoking Patients with Lung Adenocarcinoma through Bioinformatics Analysis.BIOMED RESEARCH INTERNATIONAL,2020.
MLA	Deng, Huan,et al."High Expression of UBB, RAC1, and ITGB1 Predicts Worse Prognosis among Nonsmoking Patients with Lung Adenocarcinoma through Bioinformatics Analysis".BIOMED RESEARCH INTERNATIONAL 2020(2020).