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Tytuł pozycji:

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

Tytuł:
High Expression of UBB , RAC1 , and ITGB1 Predicts Worse Prognosis among Nonsmoking Patients with Lung Adenocarcinoma through Bioinformatics Analysis.
Autorzy:
Deng H; Department of Radiation Oncology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou 310022, China.; Institute of Cancer Research and Basic Medical (IBMC), Chinese Academy of Sciences, Hangzhou 310022, China.; Zhejiang Key Laboratory of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou 310022, China.; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Huang Y; Department of Oncology, Maoming People's Hospital, Maoming 525000, China.
Wang L; Jiangxi Medical College, Nanchang University, Nanchang 330006, China.
Chen M; Department of Radiation Oncology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou 310022, China.; Institute of Cancer Research and Basic Medical (IBMC), Chinese Academy of Sciences, Hangzhou 310022, China.; Zhejiang Key Laboratory of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou 310022, China.; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Źródło:
BioMed research international [Biomed Res Int] 2020 Oct 20; Vol. 2020, pp. 2071593. Date of Electronic Publication: 2020 Oct 20 (Print Publication: 2020).
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: New York, NY : Hindawi Pub. Co.
MeSH Terms:
Adenocarcinoma of Lung/*genetics
Carcinogenesis/*genetics
Integrin beta1/*genetics
Lung Neoplasms/*genetics
Ubiquitin/*genetics
rac1 GTP-Binding Protein/*genetics
Adenocarcinoma of Lung/diagnosis ; Adenocarcinoma of Lung/mortality ; Adenocarcinoma of Lung/pathology ; Biomarkers, Tumor/genetics ; Biomarkers, Tumor/metabolism ; Carcinogenesis/metabolism ; Carcinogenesis/pathology ; Computational Biology ; Databases, Genetic ; Disease Progression ; Female ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Gene Ontology ; Gene Regulatory Networks ; Humans ; Integrin beta1/metabolism ; Lung Neoplasms/diagnosis ; Lung Neoplasms/mortality ; Lung Neoplasms/pathology ; Male ; Microarray Analysis ; Non-Smokers ; Prognosis ; Survival Analysis ; Ubiquitin/metabolism ; rac1 GTP-Binding Protein/metabolism
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Substance Nomenclature:
0 (Biomarkers, Tumor)
0 (Integrin beta1)
0 (Itgb1 protein, human)
0 (RAC1 protein, human)
0 (UBB protein, human)
0 (Ubiquitin)
EC 3.6.5.2 (rac1 GTP-Binding Protein)
Entry Date(s):
Date Created: 20201102 Date Completed: 20210506 Latest Revision: 20220418
Update Code:
20240105
PubMed Central ID:
PMC7593752
DOI:
10.1155/2020/2071593
PMID:
33134373
Czasopismo naukowe
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.
Competing Interests: The authors declare that they have no competing interests.
(Copyright © 2020 Huan Deng et al.)
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