High Resolution Based Quantitative Determination of Methylation Status of CDH1 and VIM Gene in Epithelial Ovarian Cancer

Thakur, Gaurav Kr; Sharma, Tusha; Krishna Latha, T; Banerjee, B D; Shah, Harendra Kr; Guleria, Kiran

doi:10.31557/APJCP.2019.20.10.2923

High Resolution Based Quantitative Determination of Methylation Status of CDH1 and VIM Gene in Epithelial Ovarian Cancer

Document Type : Research Articles

Authors

¹ Environmental and Molecular Biology Laboratory, Department of Biochemistry, University College of Medical Sciences (Delhi University) and GTB Hospital, Dilshad Garden, Delhi, India.

² Department of Obst and Gynae, University College of Medical Sciences (Delhi University) and GTB Hospital, Dilshad Garden, Delhi, India.

10.31557/APJCP.2019.20.10.2923

Abstract

Background: DNA promoter methylation is widely explored epigenetic phenomena, known to effect gene expression
and further perturbation in cellular homeostasis. Myriad of studies have leveraged promoter methylation and its potential
as biomarker for various types of cancer. Aim of present study is to investigate promoter methylation of CDH1 and VIM
gene and etiology of epithelial ovarian cancer (EOC). Methods: Most of previous studies were qualitative; we have
quantitatively assessed methylation levels in 50 EOC cases and control each through high recognition melt (HRM)
technique. Results: At 10 % cutoff for CDH1 94% of EOC cases were found to be methylated with mean methylation
of 45±13.8, whereas for control mean methylation was found to be 7.3±3.7 amongst 16 % methylation positive control
samples. For VIM methylation was detected in 96% of cases with mean of 50.44±11.7 in EOC and in 12% methylation
positive samples for control mean methylation was 6.24±4.3. Conclusion: In short HRM based DNA methylation can
serve as a robust and sensitive diagnostic method for promoter methylation detection and as a biomarker for early
epithelial ovarian cancer detection.

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