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  • Article
    Ko JH, Gu W, Lim I, Bang H, Ko EA, Zhou T.
    PLoS One. 2014;9(1):e86569.
    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.
    Digital Access Access Options
  • Book
    edited by Devarajan Thangadurai, Saher Islam, Leo M.L. Nollet and Juliana Bunmi Adetunji.
    Summary: "This book enhances scientific evidences based on omics technologies and effectiveness of nutrition guidelines to promote well-being. It provides advanced understanding towards nutrients and genotype effects on disease and health status. Helps to design the precise nutritional recommendations for prevention or treatment of nutrition related syndromes. Discusses impact of genetics on food ingestion, metabolism and food-drug interactions. Describes potential of transcriptomic, genomic, proteomic, metabolomic, and epigenomic tools within nutrition research. Explores state-of-the-art tools to identify safety and quality of nutrition and development of personalized nutrition to improve health status"-- Provided by publisher.
    Digital Access TandFonline 2022