Transcriptomic analysis of the Aquaporin (AQP) gene family interactome identifies a molecular panel of four prognostic markers in patients with pancreatic ductal adenocarcinoma

This study aimed to assess the differential gene expression of aquaporin (AQP) gene family interactome in pancreatic ductal adenocarcinoma (PDAC) using data mining techniques to identify novel candidate genes intervening in the pathogenicity of PDAC. Transcriptome data mining techniques were used in...

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Bibliographic Details
Published in:Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] 2019-04, Vol.19 (3), p.436-442
Main Authors: Magouliotis, Dimitrios E., Tasiopoulou, Vasiliki S., Dimas, Konstantinos, Sakellaridis, Nikos, Svokos, Konstantina A., Svokos, Alexis A., Zacharoulis, Dimitris
Format: Article
Language:English
Subjects:
Adenocarcinoma
AQP7
Aquaporin
Aquaporins
ARCN1
Bioinformatics
Biomarker
Biomarkers
Cell adhesion & migration
Data processing
Datasets
DNA microarrays
Gene expression
Genomes
Glycerol
Investigations
Medical prognosis
Metabolism
Metastasis
Mortality
Ontology
Pancreas
Pancreatic cancer
Pathogenesis
Pathogenicity
PDAC
Proteins
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Summary:This study aimed to assess the differential gene expression of aquaporin (AQP) gene family interactome in pancreatic ductal adenocarcinoma (PDAC) using data mining techniques to identify novel candidate genes intervening in the pathogenicity of PDAC. Transcriptome data mining techniques were used in order to construct the interactome of the AQP gene family and to determine which genes members are differentially expressed in PDAC as compared to controls. The same techniques were used in order to evaluate the potential prognostic role of the differentially expressed genes. Transcriptome microarray data of four GEO datasets were incorporated, including 142 primary tumor samples and 104 normal pancreatic tissue samples. Twenty differentially expressed genes were identified, of which nineteen were downregulated and one up-regulated. A molecular panel of four genes (Aquaporin 7 – AQP7; Archain 1 – ARCN1; Exocyst Complex Component 3 – EXOC3; Coatomer Protein Complex Subunit Epsilon – COPE) were identified as potential prognostic markers associated with overall survival. These outcomes should be further assessed in vitro in order to fully understand the role of these genes in the pathophysiological mechanism of PDAC.
ISSN:1424-3903
1424-3911
DOI:10.1016/j.pan.2019.02.006