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Open AccessArticle

Identification of Key Genes and Pathways in Pancreatic Cancer Gene Expression Profile by Integrative Analysis

Department of Biomedical Engineering, College of Electronic and Information Engineering, Xi’an Technological University, Xi’an 710021, China
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Author to whom correspondence should be addressed.
Genes 2019, 10(8), 612; https://doi.org/10.3390/genes10080612
Received: 6 July 2019 / Revised: 31 July 2019 / Accepted: 7 August 2019 / Published: 13 August 2019
(This article belongs to the Special Issue Biotechnology Tools and Genetic Medicine)
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Abstract

Background: Pancreatic cancer is one of the malignant tumors that threaten human health. Methods: The gene expression profiles of GSE15471, GSE19650, GSE32676 and GSE71989 were downloaded from the gene expression omnibus database including pancreatic cancer and normal samples. The differentially expressed genes between the two types of samples were identified with the Limma package using R language. The gene ontology functional and pathway enrichment analyses of differentially-expressed genes were performed by the DAVID software followed by the construction of a protein–protein interaction network. Hub gene identification was performed by the plug-in cytoHubba in cytoscape software, and the reliability and survival analysis of hub genes was carried out in The Cancer Genome Atlas gene expression data. Results: The 138 differentially expressed genes were significantly enriched in biological processes including cell migration, cell adhesion and several pathways, mainly associated with extracellular matrix-receptor interaction and focal adhesion pathway in pancreatic cancer. The top hub genes, namely thrombospondin 1, DNA topoisomerase II alpha, syndecan 1, maternal embryonic leucine zipper kinase and proto-oncogene receptor tyrosine kinase Met were identified from the protein–protein interaction network. The expression levels of hub genes were consistent with data obtained in The Cancer Genome Atlas. DNA topoisomerase II alpha, syndecan 1, maternal embryonic leucine zipper kinase and proto-oncogene receptor tyrosine kinase Met were significantly linked with poor survival in pancreatic adenocarcinoma. Conclusions: These hub genes may be used as potential targets for pancreatic cancer diagnosis and treatment. View Full-Text
Keywords: pancreatic cancer; gene expression; hub gene; bioinformatics pancreatic cancer; gene expression; hub gene; bioinformatics
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Lu, W.; Li, N.; Liao, F. Identification of Key Genes and Pathways in Pancreatic Cancer Gene Expression Profile by Integrative Analysis. Genes 2019, 10, 612.

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