Profiling age-related epigenetic markers of stomach adenocarcinoma in young and old subjects.

Citation data:

Cancer informatics, ISSN: 1176-9351, Vol: 14, Issue: 14, Page: 47-54

Publication Year:
2015
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Repository URL:
http://scholarworks.unist.ac.kr/handle/201301/17601
PMID:
25983541
DOI:
10.4137/cin.s16912
PMCID:
PMC4406278
Author(s):
Kim, Byoung-Chul; Jeong, Hyoung Oh; Park, Daeui; Kim, Chul-Hong; Lee, Eun Kyeong; Kim, Dae Hyun; Im, Eunok; Kim, Nam Deuk; Lee, Sunghoon; Yu, Byung Pal; Bhak, Jong Hwa; Chung, Hae Young Show More Hide
Publisher(s):
SAGE Publications; Libertas Academica; Libertas Academica Ltd.
Tags:
Medicine; Biochemistry, Genetics and Molecular Biology; Age; DNA methylation; miRNA; RNAseq; Stomach adenocarcinoma; TCGA
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article description
The purpose of our study is to identify epigenetic markers that are differently expressed in the stomach adenocarcinoma (STAD) condition. Based on data from The Cancer Genome Atlas (TCGA), we were able to detect an age-related difference in methylation patterns and changes in gene and miRNA expression levels in young (n = 14) and old (n = 70) STAD subjects. Our analysis identified 323 upregulated and 653 downregulated genes in old STAD subjects. We also found 76 miRNAs with age-related expression patterns and 113 differentially methylated genes (DMGs), respectively. Our further analysis revealed that significant upregulated genes (n = 35) were assigned to the cell cycle, while the muscle system process (n = 27) and cell adhesion-related genes (n = 57) were downregulated. In addition, by comparing gene and miRNA expression with methylation change, we identified that three upregulated genes (ELF3, IL1β, and MMP13) known to be involved in inflammatory responses and cell growth were significantly hypomethylated in the promoter region. We further detected target candidates for age-related, downregulated miRNAs (hsa-mir-124-3, hsa-mir-204, and hsa-mir-125b-2) in old STAD subjects. This is the first report of the results from a study exploring age-related epigenetic biomarkers of STAD using high-throughput data and provides evidence for a complex clinicopathological condition expressed by the age-related STAD progression.