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

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...

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Autores principales: Thakur, Gaurav Kr, Sharma, Tusha, Latha, T Krishna, Banerjee, B D, Shah, Harendra Kr, Guleria, Kiran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982649/
https://www.ncbi.nlm.nih.gov/pubmed/31653136
http://dx.doi.org/10.31557/APJCP.2019.20.10.2923
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author Thakur, Gaurav Kr
Sharma, Tusha
Latha, T Krishna
Banerjee, B D
Shah, Harendra Kr
Guleria, Kiran
author_facet Thakur, Gaurav Kr
Sharma, Tusha
Latha, T Krishna
Banerjee, B D
Shah, Harendra Kr
Guleria, Kiran
author_sort Thakur, Gaurav Kr
collection PubMed
description 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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spelling pubmed-69826492020-07-07 High Resolution Based Quantitative Determination of Methylation Status of CDH1 and VIM Gene in Epithelial Ovarian Cancer Thakur, Gaurav Kr Sharma, Tusha Latha, T Krishna Banerjee, B D Shah, Harendra Kr Guleria, Kiran Asian Pac J Cancer Prev Research Article 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. West Asia Organization for Cancer Prevention 2019 /pmc/articles/PMC6982649/ /pubmed/31653136 http://dx.doi.org/10.31557/APJCP.2019.20.10.2923 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Thakur, Gaurav Kr
Sharma, Tusha
Latha, T Krishna
Banerjee, B D
Shah, Harendra Kr
Guleria, Kiran
High Resolution Based Quantitative Determination of Methylation Status of CDH1 and VIM Gene in Epithelial Ovarian Cancer
title High Resolution Based Quantitative Determination of Methylation Status of CDH1 and VIM Gene in Epithelial Ovarian Cancer
title_full High Resolution Based Quantitative Determination of Methylation Status of CDH1 and VIM Gene in Epithelial Ovarian Cancer
title_fullStr High Resolution Based Quantitative Determination of Methylation Status of CDH1 and VIM Gene in Epithelial Ovarian Cancer
title_full_unstemmed High Resolution Based Quantitative Determination of Methylation Status of CDH1 and VIM Gene in Epithelial Ovarian Cancer
title_short High Resolution Based Quantitative Determination of Methylation Status of CDH1 and VIM Gene in Epithelial Ovarian Cancer
title_sort high resolution based quantitative determination of methylation status of cdh1 and vim gene in epithelial ovarian cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982649/
https://www.ncbi.nlm.nih.gov/pubmed/31653136
http://dx.doi.org/10.31557/APJCP.2019.20.10.2923
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