Aberrant DNA Methylation ofP16, MGMT, andhMLH1Genes in Combination withMTHFRC677T Genetic Polymorphism in Esophageal Squamous Cell Carcinoma
Open Access
- 1 January 2008
- journal article
- Published by American Association for Cancer Research (AACR) in Cancer Epidemiology, Biomarkers & Prevention
- Vol. 17 (1) , 118-125
- https://doi.org/10.1158/1055-9965.epi-07-0733
Abstract
To explore the role of aberrant hypermethylation of cancer-related genes, such as P16, MGMT, and hMLH1, in the esophageal squamous cell carcinoma (ESCC) as well as its relation to dietary folate intake and MTHFR C677T polymorphism, we conducted a molecular epidemiologic study in China. One hundred and twenty-five histologically confirmed ESCC patients having undergone surgery in the Yangzhong People's Hospital between January 2005 and March 2006 were recruited. The aberrant CpG island hypermethylation of P16, MGMT, and hMLH1 genes could be found in cancer tissues with frequency of about 88.0%, 27.2%, and 3.2%, respectively, and in remote normal-appearing esophageal tissues with frequency of about 36.8%, 11.2%, and 0.0%, respectively. No hypermethylation was found in the normal esophageal tissues from healthy controls. Compared with those patients without lymph node metastasis, MGMT gene showed a higher proportion of hypermethylation in cancer tissues, whereas P16 gene showed a higher proportion of hypermethylation in remote normal-appearing esophageal tissues in patients with lymph node metastasis. A significant association was found between MTHFR C677T genetic polymorphism and CpG island methylation status of MGMT gene. After adjustment for potential confounders, individuals carrying CT or TT genotype have higher frequency of hypermethylation in MGMT gene in cancer tissues, with odds ratio of 3.34 (95% confidence interval, 1.07-10.39) and 3.83 (95% confidence interval, 1.13-12.94), respectively. This study indicated that the aberrant CpG island hypermethylation of cancer-related genes was associated with ESCC and might be a promising biomarker in diagnosis and prognosis. (Cancer Epidemiol Biomarkers Prev 2008;17(1):118–25)Keywords
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