• Indian J Med Res · Dec 2019

    Promoter-associated DNA methylation & expression profiling of genes (FLT 3, EPB41L3 & SFN) in patients with oral squamous cell carcinoma in the Khasi & Jaintia population of Meghalaya, India.

    • Shngainlang Khongsti, Brian Neizekhotuo Shunyu, and Srimoyee Ghosh.
    • Department of Zoology, North Eastern Hill University, Shillong, Meghalaya, India.
    • Indian J Med Res. 2019 Dec 1; 150 (6): 584-591.

    Background & ObjectivesOral squamous cell carcinoma is one of the most lethal forms of cancer, and its aetiology has been attributed to both genetic and epigenetic factors working in liaison to contribute to the disease. Epigenetic changes especially DNA methylation is involved in the activation or repression of gene functions. The aim of this study was to investigate the DNA methylation pattern and expression profiling of the promoter regions of FMS-related tyrosine kinase 3 (FLT3), erythrocyte membrane protein band 4.1-like 3 (EPB41L3) and stratifin (SFN) genes in oral cancer within the Khasi and Jaintia tribal population of Meghalaya in North East India.MethodsQuantitative methylation analyses of the selected genes were carried out by MassARRAY platform System, and the relative expression profiling was carried out by real-time polymerase chain reaction.ResultsQuantitative methylation results indicated that the level of methylation was significantly higher (hypermethylated) for FLT3 and EPB41L3 and significantly lower (hypomethylated) for SFN in tumour tissues as compared to the adjacent paired normal tissue. Expression profiling was in concurrence with the methylation data whereby hypermethylated genes showed low mRNA level and vice versa for the hypomethylated gene.Interpretation & ConclusionsThe findings show that hyper- and hypomethylation of the selected genes play a potential role in oral carcinogenesis in the selected Khasi and Jaintia tribal population of Meghalaya. The methylation status of these genes has not been reported in oral cancer, so these genes may serve as promising biomarkers for oral cancer diagnosis as well as in disease monitoring.

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