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...
Saved in:
Published in: | Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] 2019-04, Vol.19 (3), p.436-442 |
---|---|
Main Authors: | , , , , , , |
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 & 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 & 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 & 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 & Medical Complete (Alumni)</collection><collection>Nursing & 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 |