4.4 Article

Genome-Wide DNA Methylation Profiles in Noncancerous Gastric Mucosae with Regard to Helicobacter pylori Infection and the Presence of Gastric Cancer

Journal

HELICOBACTER
Volume 16, Issue 3, Pages 179-188

Publisher

WILEY
DOI: 10.1111/j.1523-5378.2011.00838.x

Keywords

Methylation; gastric cancer; Helicobacter pylori

Funding

  1. Korean Government [KRF-2008-313-E00433]
  2. Seoul National University Bundang Hospital [02-2008-035]

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Background and Aims: To determine genome-wide DNA methylation profiles induced by Helicobacter pylori (H. pylori) infection and to identify methylation markers in H. pylori-induced gastric carcinogenesis. Methods: Gastric mucosae obtained from controls (n = 20) and patients with gastric cancer (n = 28) were included. A wide panel of CpG sites in cancer-related genes (1505 CpG sites in 807 genes) was analyzed using Illumina bead array technology. Validation of the results of Illumina bead array technique was performed using methylation-specific PCR method for four genes (MOS, DCC, CRK, and PTPN6). Results: The Illumina bead array showed that a total of 359 CpG sites (269 genes) were identified as differentially methylated by H. pylori infection (p < .0001). The correlation between methylation-specific PCR and bead array analysis was significant (p < .0001, Spearman coefficient = 0.5054). Methylation profiles in noncancerous gastric mucosae of the patients with gastric cancer showed quite distinct patterns according to the presence or absence of the current H. pylori infection; however, 10 CpG sites were identified to be hypermethylated and three hypomethylated in association with the presence of gastric cancer regardless of H. pylori infection (p < .01). Conclusions: Genome-wide methylation profiles showed a number of genes differentially methylated by H. pylori infection. Methylation profiles in noncancerous gastric mucosae from the patients with gastric cancer can be affected by H. pylori-induced gastritis. Differentially methylated CpG sites in this study needs to be validated in a larger population using quantitative methylation-specific PCR method.

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