Four targeted genes for predicting the prognosis of colorectal cancer: A bioinformatics analysis case

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dc.contributor.authorBian, Qinglaien
dc.contributor.authorChen, Jiaxuen
dc.contributor.authorQiu, Wenqien
dc.contributor.authorPeng, Chenxien
dc.contributor.authorSong, Meifangen
dc.contributor.authorSun, Xuebinen
dc.contributor.authorLiu, Yueyunen
dc.contributor.authorDing, Fengminen
dc.contributor.authorChen, Jianbeien
dc.contributor.authorZhang, Liqingen
dc.date.accessioned2021-10-08T13:05:33Zen
dc.date.available2021-10-08T13:05:33Zen
dc.date.issued2019-11-01en
dc.date.updated2021-10-08T13:05:30Zen
dc.description.abstractThe molecular mechanisms underlying the development and progression of colorectal cancer (CRC) have not been clarified. The purpose of the present study was to identify key genes that may serve as novel therapeutic targets or prognostic predictors in patients with CRC using bioinformatics analysis. Four gene expression datasets were downloaded from the Gene Expression Omnibus database, which revealed 19 upregulated and 34 downregulated differentially expressed genes (DEGs). The downregulated DEGs were significantly enriched in eight pathways according to Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. A protein-protein interaction network was constructed with 52 DEGs and 458 edges. Ten key genes were identified according to the degree value, betweenness centrality and closeness centrality. Survival analysis revealed that low expression of four of the ten genes, carcinoembryonic antigen related cell adhesion molecule 7 (CEACAM7), solute carrier family 4 member 4 (SLC4A4), glucagon (GCG) and chloride channel accessory 1 (CLCA1) genes, were associated with unfavorable prognosis in CRC. Furthermore, gene set enrichment analysis revealed that two pathways were significantly enriched in the CEACAM7 low-expression group. Thus, CEACAM7, SLC4A4, GCG and CLCA1 may be prognostic markers or therapeutic targets of CRC. Low CEACAM7 expression may be associated with the activation of glycosaminoglycan biosynthesis-chondroitin sulfate and extracellular matrix receptor interaction pathways and may affect the prognosis of CRC.en
dc.description.versionPublished versionen
dc.format.extentPages 5043-5054en
dc.format.extent12 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.3892/ol.2019.10866en
dc.identifier.eissn1792-1082en
dc.identifier.issn1792-1074en
dc.identifier.issue5en
dc.identifier.otherOL-0-0-10866 (PII)en
dc.identifier.pmid31612015en
dc.identifier.urihttp://hdl.handle.net/10919/105210en
dc.identifier.volume18en
dc.language.isoenen
dc.publisherSpandidos Publicationsen
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000503219600071&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectLife Sciences & Biomedicineen
dc.subjectOncologyen
dc.subjectbioinformaticsen
dc.subjectgenesen
dc.subjectprognosisen
dc.subjectcolorectal canceren
dc.subjectGLUCAGON-LIKE PEPTIDE-2en
dc.subjectDIABETES-MELLITUSen
dc.subjectFUNCTIONAL EXPRESSIONen
dc.subjectCLONINGen
dc.subjectFAMILYen
dc.subjectGROWTHen
dc.subjectMEMBERen
dc.subjectGLYCOSAMINOGLYCANSen
dc.subjectBIOMARKERSen
dc.subjectSERVERen
dc.titleFour targeted genes for predicting the prognosis of colorectal cancer: A bioinformatics analysis caseen
dc.title.serialOncology Lettersen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
dcterms.dateAccepted2019-08-13en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Computer Scienceen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen

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