Identification of genes and pathways associated with pancreatic ductal adenocarcinoma by bioinformatics analyses

Oncology Letters
Jin LongChunlin Ge

Abstract

This study aimed to explore the underlying genes and pathways associated with pancreatic ductal adenocarcinoma (PDAC) by bioinformatics analyses. Gene expression profile GSE43795 was downloaded from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) between six PDAC and five non-neoplastic pancreatic tissue samples were analyzed using the limma package. Gene ontology (GO) and pathway enrichment analyses of DEGs were performed, followed by functional annotation and protein-protein interaction (PPI) network construction. Finally, the sub-network was identified and pathway enrichment analysis was performed on the contained DEGs. A total of 374 downregulated and 559 upregulated DEGs were identified. The downregulated DEGs were enriched in GO terms associated with digestion and transport and pathways related to metabolism, while the upregulated DEGs were enriched in GO terms associated with the cell cycle and mitosis and pathways associated with the occurrence of cancer including the cell cycle pathway. Following functional annotation, the oncogene pituitary tumor-transforming 1 (PTTG1) was upregulated. In the PPI network and sub-network, cell division cycle 20 (CDC20) and BUB1 mitotic checkpoint serine/...Continue Reading

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Citations

Jul 8, 2018·International Journal of Cancer. Journal International Du Cancer·Giorgia SimonettiGiovanni Martinelli
Mar 4, 2020·International Journal of Molecular Sciences·Emmanuelle Havis, Delphine Duprez
Mar 29, 2020·Journal of Computational Biology : a Journal of Computational Molecular Cell Biology·Xin ChangDe-Feng Li

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Datasets Mentioned

BETA
GSE43795
GPL10558

Software Mentioned

Bioconductor
R affy package
STRING
BioNet
limma
DAVID
Database for Annotation , Visualization and Integrated Discove...

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