Loading…

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...

Full description

Saved in:
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:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c381t-d178c9e5cfbadf50c1c13215acc106462f9fe75cafc4b7b2cb7c718a69427b753
cites cdi_FETCH-LOGICAL-c381t-d178c9e5cfbadf50c1c13215acc106462f9fe75cafc4b7b2cb7c718a69427b753
container_end_page 442
container_issue 3
container_start_page 436
container_title Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
container_volume 19
creator Magouliotis, Dimitrios E.
Tasiopoulou, Vasiliki S.
Dimas, Konstantinos
Sakellaridis, Nikos
Svokos, Konstantina A.
Svokos, Alexis A.
Zacharoulis, Dimitris
description 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.
doi_str_mv 10.1016/j.pan.2019.02.006
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2187954662</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1424390319300304</els_id><sourcerecordid>2207894815</sourcerecordid><originalsourceid>FETCH-LOGICAL-c381t-d178c9e5cfbadf50c1c13215acc106462f9fe75cafc4b7b2cb7c718a69427b753</originalsourceid><addsrcrecordid>eNp9kc1uFDEQhEcIRH7gAbggS1zCYQfb8y9OqwgCUiRACmerp6edeJkZb2wPaN-KR6RHG3LgwMm29FW5uyrLXimZK6nqd7t8D3OupepyqXMp6yfZqSp1uSk6pZ4-3mVxkp3FuJNSa6W659lJIVtd66o7zX7fBJgjBrdPfnIoYIbxEF0U3op0R2J7v8DeBzeLi-23r2_FLc0kLExuPAg3JwqALCThBpqTs46iADH5kXAZIQiej8bVy_qFX8Hfzj4m_meC8INCZA9mkmNxFL9culsVGAhWZlgwwSiArT1CQDf7CV5kzyyMkV4-nOfZ948fbi4_ba6_XH2-3F5vsGhV2gyqabGjCm0Pg60kKlSFVhUgKlmXtbadpaZCsFj2Ta-xb7BRLdRdqZu-qYrz7OLoy0PfLxSTmVxEGkfeyC_RaNU2XVXWtWb0zT_ojrflIJnSsmm7slWroTpSGHyMgazZB8cxHIySZq3T7Awvb9Y6jdSG62TN6wfnpZ9oeFT87Y-B90eAOIqfjoKJyGEiDS4QJjN49x_7P5zttFM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2207894815</pqid></control><display><type>article</type><title>Transcriptomic analysis of the Aquaporin (AQP) gene family interactome identifies a molecular panel of four prognostic markers in patients with pancreatic ductal adenocarcinoma</title><source>Elsevier</source><creator>Magouliotis, Dimitrios E. ; Tasiopoulou, Vasiliki S. ; Dimas, Konstantinos ; Sakellaridis, Nikos ; Svokos, Konstantina A. ; Svokos, Alexis A. ; Zacharoulis, Dimitris</creator><creatorcontrib>Magouliotis, Dimitrios E. ; Tasiopoulou, Vasiliki S. ; Dimas, Konstantinos ; Sakellaridis, Nikos ; Svokos, Konstantina A. ; Svokos, Alexis A. ; Zacharoulis, Dimitris</creatorcontrib><description>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.</description><identifier>ISSN: 1424-3903</identifier><identifier>EISSN: 1424-3911</identifier><identifier>DOI: 10.1016/j.pan.2019.02.006</identifier><identifier>PMID: 30826259</identifier><language>eng</language><publisher>Switzerland: Elsevier B.V</publisher><subject>Adenocarcinoma ; AQP7 ; Aquaporin ; Aquaporins ; ARCN1 ; Bioinformatics ; Biomarker ; Biomarkers ; Cell adhesion &amp; migration ; Data processing ; Datasets ; DNA microarrays ; Gene expression ; Genomes ; Glycerol ; Investigations ; Medical prognosis ; Metabolism ; Metastasis ; Mortality ; Ontology ; Pancreas ; Pancreatic cancer ; Pathogenesis ; Pathogenicity ; PDAC ; Proteins</subject><ispartof>Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.], 2019-04, Vol.19 (3), p.436-442</ispartof><rights>2019 IAP and EPC</rights><rights>Copyright © 2019 IAP and EPC. Published by Elsevier B.V. All rights reserved.</rights><rights>2019. IAP and EPC</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c381t-d178c9e5cfbadf50c1c13215acc106462f9fe75cafc4b7b2cb7c718a69427b753</citedby><cites>FETCH-LOGICAL-c381t-d178c9e5cfbadf50c1c13215acc106462f9fe75cafc4b7b2cb7c718a69427b753</cites><orcidid>0000-0001-5417-6392</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30826259$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Magouliotis, Dimitrios E.</creatorcontrib><creatorcontrib>Tasiopoulou, Vasiliki S.</creatorcontrib><creatorcontrib>Dimas, Konstantinos</creatorcontrib><creatorcontrib>Sakellaridis, Nikos</creatorcontrib><creatorcontrib>Svokos, Konstantina A.</creatorcontrib><creatorcontrib>Svokos, Alexis A.</creatorcontrib><creatorcontrib>Zacharoulis, Dimitris</creatorcontrib><title>Transcriptomic analysis of the Aquaporin (AQP) gene family interactome identifies a molecular panel of four prognostic markers in patients with pancreatic ductal adenocarcinoma</title><title>Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]</title><addtitle>Pancreatology</addtitle><description>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.</description><subject>Adenocarcinoma</subject><subject>AQP7</subject><subject>Aquaporin</subject><subject>Aquaporins</subject><subject>ARCN1</subject><subject>Bioinformatics</subject><subject>Biomarker</subject><subject>Biomarkers</subject><subject>Cell adhesion &amp; migration</subject><subject>Data processing</subject><subject>Datasets</subject><subject>DNA microarrays</subject><subject>Gene expression</subject><subject>Genomes</subject><subject>Glycerol</subject><subject>Investigations</subject><subject>Medical prognosis</subject><subject>Metabolism</subject><subject>Metastasis</subject><subject>Mortality</subject><subject>Ontology</subject><subject>Pancreas</subject><subject>Pancreatic cancer</subject><subject>Pathogenesis</subject><subject>Pathogenicity</subject><subject>PDAC</subject><subject>Proteins</subject><issn>1424-3903</issn><issn>1424-3911</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kc1uFDEQhEcIRH7gAbggS1zCYQfb8y9OqwgCUiRACmerp6edeJkZb2wPaN-KR6RHG3LgwMm29FW5uyrLXimZK6nqd7t8D3OupepyqXMp6yfZqSp1uSk6pZ4-3mVxkp3FuJNSa6W659lJIVtd66o7zX7fBJgjBrdPfnIoYIbxEF0U3op0R2J7v8DeBzeLi-23r2_FLc0kLExuPAg3JwqALCThBpqTs46iADH5kXAZIQiej8bVy_qFX8Hfzj4m_meC8INCZA9mkmNxFL9culsVGAhWZlgwwSiArT1CQDf7CV5kzyyMkV4-nOfZ948fbi4_ba6_XH2-3F5vsGhV2gyqabGjCm0Pg60kKlSFVhUgKlmXtbadpaZCsFj2Ta-xb7BRLdRdqZu-qYrz7OLoy0PfLxSTmVxEGkfeyC_RaNU2XVXWtWb0zT_ojrflIJnSsmm7slWroTpSGHyMgazZB8cxHIySZq3T7Awvb9Y6jdSG62TN6wfnpZ9oeFT87Y-B90eAOIqfjoKJyGEiDS4QJjN49x_7P5zttFM</recordid><startdate>201904</startdate><enddate>201904</enddate><creator>Magouliotis, Dimitrios E.</creator><creator>Tasiopoulou, Vasiliki S.</creator><creator>Dimas, Konstantinos</creator><creator>Sakellaridis, Nikos</creator><creator>Svokos, Konstantina A.</creator><creator>Svokos, Alexis A.</creator><creator>Zacharoulis, Dimitris</creator><general>Elsevier B.V</general><general>Elsevier Limited</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5417-6392</orcidid></search><sort><creationdate>201904</creationdate><title>Transcriptomic analysis of the Aquaporin (AQP) gene family interactome identifies a molecular panel of four prognostic markers in patients with pancreatic ductal adenocarcinoma</title><author>Magouliotis, Dimitrios E. ; Tasiopoulou, Vasiliki S. ; Dimas, Konstantinos ; Sakellaridis, Nikos ; Svokos, Konstantina A. ; Svokos, Alexis A. ; Zacharoulis, Dimitris</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c381t-d178c9e5cfbadf50c1c13215acc106462f9fe75cafc4b7b2cb7c718a69427b753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adenocarcinoma</topic><topic>AQP7</topic><topic>Aquaporin</topic><topic>Aquaporins</topic><topic>ARCN1</topic><topic>Bioinformatics</topic><topic>Biomarker</topic><topic>Biomarkers</topic><topic>Cell adhesion &amp; migration</topic><topic>Data processing</topic><topic>Datasets</topic><topic>DNA microarrays</topic><topic>Gene expression</topic><topic>Genomes</topic><topic>Glycerol</topic><topic>Investigations</topic><topic>Medical prognosis</topic><topic>Metabolism</topic><topic>Metastasis</topic><topic>Mortality</topic><topic>Ontology</topic><topic>Pancreas</topic><topic>Pancreatic cancer</topic><topic>Pathogenesis</topic><topic>Pathogenicity</topic><topic>PDAC</topic><topic>Proteins</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Magouliotis, Dimitrios E.</creatorcontrib><creatorcontrib>Tasiopoulou, Vasiliki S.</creatorcontrib><creatorcontrib>Dimas, Konstantinos</creatorcontrib><creatorcontrib>Sakellaridis, Nikos</creatorcontrib><creatorcontrib>Svokos, Konstantina A.</creatorcontrib><creatorcontrib>Svokos, Alexis A.</creatorcontrib><creatorcontrib>Zacharoulis, Dimitris</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Magouliotis, Dimitrios E.</au><au>Tasiopoulou, Vasiliki S.</au><au>Dimas, Konstantinos</au><au>Sakellaridis, Nikos</au><au>Svokos, Konstantina A.</au><au>Svokos, Alexis A.</au><au>Zacharoulis, Dimitris</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transcriptomic analysis of the Aquaporin (AQP) gene family interactome identifies a molecular panel of four prognostic markers in patients with pancreatic ductal adenocarcinoma</atitle><jtitle>Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]</jtitle><addtitle>Pancreatology</addtitle><date>2019-04</date><risdate>2019</risdate><volume>19</volume><issue>3</issue><spage>436</spage><epage>442</epage><pages>436-442</pages><issn>1424-3903</issn><eissn>1424-3911</eissn><abstract>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.</abstract><cop>Switzerland</cop><pub>Elsevier B.V</pub><pmid>30826259</pmid><doi>10.1016/j.pan.2019.02.006</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-5417-6392</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1424-3903
ispartof Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.], 2019-04, Vol.19 (3), p.436-442
issn 1424-3903
1424-3911
language eng
recordid cdi_proquest_miscellaneous_2187954662
source Elsevier
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
title Transcriptomic analysis of the Aquaporin (AQP) gene family interactome identifies a molecular panel of four prognostic markers in patients with pancreatic ductal adenocarcinoma
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T05%3A26%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Transcriptomic%20analysis%20of%20the%20Aquaporin%20(AQP)%20gene%20family%20interactome%20identifies%20a%20molecular%20panel%20of%20four%20prognostic%20markers%20in%20patients%20with%20pancreatic%20ductal%20adenocarcinoma&rft.jtitle=Pancreatology%20:%20official%20journal%20of%20the%20International%20Association%20of%20Pancreatology%20(IAP)%20...%20%5Bet%20al.%5D&rft.au=Magouliotis,%20Dimitrios%20E.&rft.date=2019-04&rft.volume=19&rft.issue=3&rft.spage=436&rft.epage=442&rft.pages=436-442&rft.issn=1424-3903&rft.eissn=1424-3911&rft_id=info:doi/10.1016/j.pan.2019.02.006&rft_dat=%3Cproquest_cross%3E2207894815%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c381t-d178c9e5cfbadf50c1c13215acc106462f9fe75cafc4b7b2cb7c718a69427b753%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2207894815&rft_id=info:pmid/30826259&rfr_iscdi=true