Expression of potassium channel genes predicts clinical outcome in lung cancer
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ko, Eun-A | - |
dc.contributor.author | Kim, Young-Won | - |
dc.contributor.author | Lee, Donghee | - |
dc.contributor.author | Choi, Jeongyoon | - |
dc.contributor.author | Kim, Seongtae | - |
dc.contributor.author | Seo, Yelim | - |
dc.contributor.author | Bang, Hyoweon | - |
dc.contributor.author | Kim, Jung-Ha | - |
dc.contributor.author | Ko, Jae-Hong | - |
dc.date.available | 2020-04-17T06:20:59Z | - |
dc.date.issued | 2019-11 | - |
dc.identifier.issn | 1226-4512 | - |
dc.identifier.issn | 2093-3827 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/38674 | - |
dc.description.abstract | Lung cancer is the most common cause of cancer deaths worldwide and several molecular signatures have been developed to predict survival in lung cancer. Increasing evidence suggests that proliferation and migration to promote tumor growth are associated with dysregulated ion channel expression. In this study, by analyzing high-throughput gene expression data, we identify the differentially expressed K+ channel genes in lung cancer. In total, we prioritize ten dysregulated K+ channel genes (5 up-regulated and 5 down-regulated genes, which were designated as K-10) in lung tumor tissue compared with normal tissue. A risk scoring system combined with the K-10 signature accurately predicts clinical outcome in lung cancer, which is independent of standard clinical and pathological prognostic factors including patient age, lymph node involvement, tumor size, and tumor grade. We further indicate that the K-10 potentially predicts clinical outcome in breast and colon cancers. Molecular signature discovered through K+ gene expression profiling may serve as a novel biomarker to assess the risk in lung cancer. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | 대한약리학회 | - |
dc.title | Expression of potassium channel genes predicts clinical outcome in lung cancer | - |
dc.type | Article | - |
dc.identifier.doi | 10.4196/kjpp.2019.23.6.529 | - |
dc.identifier.bibliographicCitation | The Korean Journal of Physiology & Pharmacology, v.23, no.6, pp 529 - 537 | - |
dc.identifier.kciid | ART002516790 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.wosid | 000495598200011 | - |
dc.identifier.scopusid | 2-s2.0-85077897305 | - |
dc.citation.endPage | 537 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 529 | - |
dc.citation.title | The Korean Journal of Physiology & Pharmacology | - |
dc.citation.volume | 23 | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Biomarker | - |
dc.subject.keywordAuthor | Gene expression | - |
dc.subject.keywordAuthor | K+ channel | - |
dc.subject.keywordAuthor | Lung cancer | - |
dc.subject.keywordAuthor | Molecular signature | - |
dc.subject.keywordPlus | GATED ION CHANNELS | - |
dc.subject.keywordPlus | NEUROLOGICAL DISEASE | - |
dc.subject.keywordPlus | CELL-PROLIFERATION | - |
dc.subject.keywordPlus | CALCIUM | - |
dc.subject.keywordPlus | SURVIVAL | - |
dc.subject.keywordPlus | MUTATION | - |
dc.subject.keywordPlus | AMPLIFICATION | - |
dc.subject.keywordPlus | SIGNATURE | - |
dc.subject.keywordPlus | CARCINOMA | - |
dc.subject.keywordPlus | BIOMARKER | - |
dc.relation.journalResearchArea | Pharmacology & Pharmacy | - |
dc.relation.journalResearchArea | Physiology | - |
dc.relation.journalWebOfScienceCategory | Pharmacology & Pharmacy | - |
dc.relation.journalWebOfScienceCategory | Physiology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.