Channelpedia

PubMed 24466154


Referenced in Channelpedia wiki pages of: none

Automatically associated channels: Kir2.3



Title: Ion channel gene expression in lung adenocarcinoma: potential role in prognosis and diagnosis.

Authors: Jae-Hong Ko, Wanjun Gu, Inja Lim, Hyoweon Bang, Eun A Ko, Tong Zhou

Journal, date & volume: PLoS ONE, 2014 Jan 23 , 9, e86569

PubMed link: http://www.ncbi.nlm.nih.gov/pubmed/24466154


Abstract
Ion channels are known to regulate cancer processes at all stages. The roles of ion channels in cancer pathology are extremely diverse. We systematically analyzed the expression patterns of ion channel genes in lung adenocarcinoma. First, we compared the expression of ion channel genes between normal and tumor tissues in patients with lung adenocarcinoma. Thirty-seven ion channel genes were identified as being differentially expressed between the two groups. Next, we investigated the prognostic power of ion channel genes in lung adenocarcinoma. We assigned a risk score to each lung adenocarcinoma patient based on the expression of the differentially expressed ion channel genes. We demonstrated that the risk score effectively predicted overall survival and recurrence-free survival in lung adenocarcinoma. We also found that the risk scores for ever-smokers were higher than those for never-smokers. Multivariate analysis indicated that the risk score was a significant prognostic factor for survival, which is independent of patient age, gender, stage, smoking history, Myc level, and EGFR/KRAS/ALK gene mutation status. Finally, we investigated the difference in ion channel gene expression between the two major subtypes of non-small cell lung cancer: adenocarcinoma and squamous-cell carcinoma. Thirty ion channel genes were identified as being differentially expressed between the two groups. We suggest that ion channel gene expression can be used to improve the subtype classification in non-small cell lung cancer at the molecular level. The findings in this study have been validated in several independent lung cancer cohorts.