Detailed Information

Cited 14 time in webofscience Cited 16 time in scopus
Metadata Downloads

Ion channel gene expression predicts survival in glioma patients

Full metadata record
DC Field Value Language
dc.contributor.authorWang, Rong-
dc.contributor.authorGurguis, Christopher I.-
dc.contributor.authorGu, Wanjun-
dc.contributor.authorKo, Eun A.-
dc.contributor.authorLim, Inja-
dc.contributor.authorBang, Hyoweon-
dc.contributor.authorZhou, Tong-
dc.contributor.authorKo, Jae-Hong-
dc.date.available2019-03-08T16:57:08Z-
dc.date.issued2015-08-
dc.identifier.issn2045-2322-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/9238-
dc.description.abstractIon channels are important regulators in cell proliferation, migration, and apoptosis. The malfunction and/or aberrant expression of ion channels may disrupt these important biological processes and influence cancer progression. In this study, we investigate the expression pattern of ion channel genes in glioma. We designate 18 ion channel genes that are differentially expressed in high-grade glioma as a prognostic molecular signature. This ion channel gene expression based signature predicts glioma outcome in three independent validation cohorts. Interestingly, 16 of these 18 genes were down-regulated in high-grade glioma. This signature is independent of traditional clinical, molecular, and histological factors. Resampling tests indicate that the prognostic power of the signature outperforms random gene sets selected from human genome in all the validation cohorts. More importantly, this signature performs better than the random gene signatures selected from glioma-associated genes in two out of three validation datasets. This study implicates ion channels in brain cancer, thus expanding on knowledge of their roles in other cancers. Individualized profiling of ion channel gene expression serves as a superior and independent prognostic tool for glioma patients.-
dc.language영어-
dc.language.isoENG-
dc.publisherNATURE PUBLISHING GROUP-
dc.titleIon channel gene expression predicts survival in glioma patients-
dc.typeArticle-
dc.identifier.doi10.1038/srep11593-
dc.identifier.bibliographicCitationSCIENTIFIC REPORTS, v.5-
dc.description.isOpenAccessY-
dc.identifier.wosid000358849200001-
dc.identifier.scopusid2-s2.0-84938517742-
dc.citation.titleSCIENTIFIC REPORTS-
dc.citation.volume5-
dc.type.docTypeArticle-
dc.publisher.location영국-
dc.subject.keywordPlusGLIOBLASTOMA-MULTIFORME-
dc.subject.keywordPlusPOTASSIUM CHANNELS-
dc.subject.keywordPlusCANCER-THERAPY-
dc.subject.keywordPlusVINCRISTINE CHEMOTHERAPY-
dc.subject.keywordPlusADJUVANT PROCARBAZINE-
dc.subject.keywordPlusCELL INVASION-
dc.subject.keywordPlusBK CHANNELS-
dc.subject.keywordPlusFOLLOW-UP-
dc.subject.keywordPlusBRAIN-
dc.subject.keywordPlusMETASTASIS-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
Appears in
Collections
College of Medicine > College of Medicine > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lim, Inja photo

Lim, Inja
의과대학 (의학부(기초))
Read more

Altmetrics

Total Views & Downloads

BROWSE