Expression of potassium channel genes predicts clinical outcome in lung cancer
10.4196/kjpp.2019.23.6.529
- Author:
Eun A KO
1
;
Young Won KIM
;
Donghee LEE
;
Jeongyoon CHOI
;
Seongtae KIM
;
Yelim SEO
;
Hyoweon BANG
;
Jung Ha KIM
;
Jae Hong KO
Author Information
1. Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, Nevada 89557, USA.
- Publication Type:Original Article
- Keywords:
Biomarker;
Gene expression;
K⁺ channel;
Lung cancer;
Molecular signature
- MeSH:
Breast;
Colonic Neoplasms;
Gene Expression;
Gene Expression Profiling;
Humans;
Ion Channels;
Lung Neoplasms;
Lung;
Lymph Nodes;
Potassium Channels;
Potassium
- From:The Korean Journal of Physiology and Pharmacology
2019;23(6):529-537
- CountryRepublic of Korea
- Language:English
-
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.
