Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis
Joint Authors
Zhang, Luyu
Peng, Rui
Chong, Xinyu
Zhang, Zheng
Sun, Yan
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-21
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Gastric cancer (GC) is one of the most common malignancies of the digestive system with few genetic markers for its early detection and prevention.
In this study, differentially expressed genes (DEGs) were analyzed using GEO2R from GSE54129 and GSE13911 of the Gene Expression Omnibus (GEO).
Then, gene enrichment analysis, protein-protein interaction (PPI) network construction, and topological analysis were performed on the DEGs by the Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, STRING, and Cytoscape.
Finally, we performed survival analysis of key genes through the Kaplan-Meier plotter.
A total of 1034 DEGs were identified in GC.
GO and KEGG results showed that DEGs mainly enriched in plasma membrane, cell adhesion, and PI3K-Akt signaling pathway.
Subsequently, the PPI network with 44 nodes and 333 edges was constructed, and 18 candidate genes in the network were focused on by centrality analysis and module analysis.
Furthermore, data showed that high expressions of fibronectin 1(FN1), the tissue inhibitor of metalloproteinases 1 (TIMP1), secreted phosphoprotein 1 (SPP1), apolipoprotein E (APOE), and versican (VCAN) were related to poor overall survivals in GC patients.
In summary, this study suggests that FN1, TIMP1, SPP1, APOE, and VCAN may act as the key genes in GC.
American Psychological Association (APA)
Chong, Xinyu& Peng, Rui& Sun, Yan& Zhang, Luyu& Zhang, Zheng. 2020. Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis. BioMed Research International،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1137129
Modern Language Association (MLA)
Chong, Xinyu…[et al.]. Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis. BioMed Research International No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1137129
American Medical Association (AMA)
Chong, Xinyu& Peng, Rui& Sun, Yan& Zhang, Luyu& Zhang, Zheng. Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1137129
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1137129