4.4 Article

Promoter methylation of MGMT in oral carcinoma: A population-based study and meta-analysis

Journal

ARCHIVES OF ORAL BIOLOGY
Volume 80, Issue -, Pages 197-208

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.archoralbio.2017.04.006

Keywords

Oral cancer; MGMT hypermethylation; DNA methylation; Biomarker; Meta-Analysis; Case-control study

Funding

  1. Manipal University and School of Life Sciences

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Introduction: The relevance of DNA methylation of O-6-methylguanine-DNA methyltransferase (MGMT) in relation to several cancers and other disorders has been extensively explored in several cancer types. Aims: To ascertain the significance of DNA methylation of MGMT promoter in oral squamous cell carcinoma (OSCC), we undertook a study to a) analyse the methylation patterns of MGMT gene promoter in afflicted and normal population of coastal Karnataka, b) determine the expression status of MGMT in oral cancer cell lines (CAL-27 and SCC-4) and its relationship to DNA methylation and c) performed a meta-analysis of the published data. Methods: Bisulfite sequencing of MGMT promoter region was performed on non-malignant/malignant oral samples, and oral cancer cell lines, followed by gene expression studies. Further, using a systematic search, 1024 publications were retrieved from PubMed, Scopus, Google Scholar and Web of Science and 23 relevant articles were reviewed. Results: Significant association of MGMT promoter methylation with OSCC (p < 0.0001) was observed in the case-control study. The studies chosen for meta-analysis showed predictive significance of MGMT gene promoter. Overall, we obtained a statistically significant (p < 0.0001) association for both sensitivity and specificity of MGMT DNA promoter methylation in oral cancer cases without publication bias. Gene expression was significantly elevated in both oral cancer cell lines (p < 0.03) after treatment with a demethylating agent (5-Aza-2'-deoxycytidine). Conclusion: DNA promoter hypermethylation and gene expression of MGMT may associate with recursive mutagenesis and is a promising biomarker for OSCC prediction. Studies suggest further validation in large distinct cohorts to facilitate translation to clinics.

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