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Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation

There is increasing interest in the development of cost-effective techniques for the quantification of DNA methylation biomarkers. We analyzed 90 samples of surgically resected colorectal cancer tissues for APC and CDKN2A promoter methylation using methylation sensitive-high resolution melting (MS-H...

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Autores principales: Migheli, Francesca, Stoccoro, Andrea, Coppedè, Fabio, Wan Omar, Wan Adnan, Failli, Alessandra, Consolini, Rita, Seccia, Massimo, Spisni, Roberto, Miccoli, Paolo, Mathers, John C., Migliore, Lucia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3543439/
https://www.ncbi.nlm.nih.gov/pubmed/23326336
http://dx.doi.org/10.1371/journal.pone.0052501
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author Migheli, Francesca
Stoccoro, Andrea
Coppedè, Fabio
Wan Omar, Wan Adnan
Failli, Alessandra
Consolini, Rita
Seccia, Massimo
Spisni, Roberto
Miccoli, Paolo
Mathers, John C.
Migliore, Lucia
author_facet Migheli, Francesca
Stoccoro, Andrea
Coppedè, Fabio
Wan Omar, Wan Adnan
Failli, Alessandra
Consolini, Rita
Seccia, Massimo
Spisni, Roberto
Miccoli, Paolo
Mathers, John C.
Migliore, Lucia
author_sort Migheli, Francesca
collection PubMed
description There is increasing interest in the development of cost-effective techniques for the quantification of DNA methylation biomarkers. We analyzed 90 samples of surgically resected colorectal cancer tissues for APC and CDKN2A promoter methylation using methylation sensitive-high resolution melting (MS-HRM) and pyrosequencing. MS-HRM is a less expensive technique compared with pyrosequencing but is usually more limited because it gives a range of methylation estimates rather than a single value. Here, we developed a method for deriving single estimates, rather than a range, of methylation using MS-HRM and compared the values obtained in this way with those obtained using the gold standard quantitative method of pyrosequencing. We derived an interpolation curve using standards of known methylated/unmethylated ratio (0%, 12.5%, 25%, 50%, 75%, and 100% of methylation) to obtain the best estimate of the extent of methylation for each of our samples. We observed similar profiles of methylation and a high correlation coefficient between the two techniques. Overall, our new approach allows MS-HRM to be used as a quantitative assay which provides results which are comparable with those obtained by pyrosequencing.
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spelling pubmed-35434392013-01-16 Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation Migheli, Francesca Stoccoro, Andrea Coppedè, Fabio Wan Omar, Wan Adnan Failli, Alessandra Consolini, Rita Seccia, Massimo Spisni, Roberto Miccoli, Paolo Mathers, John C. Migliore, Lucia PLoS One Research Article There is increasing interest in the development of cost-effective techniques for the quantification of DNA methylation biomarkers. We analyzed 90 samples of surgically resected colorectal cancer tissues for APC and CDKN2A promoter methylation using methylation sensitive-high resolution melting (MS-HRM) and pyrosequencing. MS-HRM is a less expensive technique compared with pyrosequencing but is usually more limited because it gives a range of methylation estimates rather than a single value. Here, we developed a method for deriving single estimates, rather than a range, of methylation using MS-HRM and compared the values obtained in this way with those obtained using the gold standard quantitative method of pyrosequencing. We derived an interpolation curve using standards of known methylated/unmethylated ratio (0%, 12.5%, 25%, 50%, 75%, and 100% of methylation) to obtain the best estimate of the extent of methylation for each of our samples. We observed similar profiles of methylation and a high correlation coefficient between the two techniques. Overall, our new approach allows MS-HRM to be used as a quantitative assay which provides results which are comparable with those obtained by pyrosequencing. Public Library of Science 2013-01-11 /pmc/articles/PMC3543439/ /pubmed/23326336 http://dx.doi.org/10.1371/journal.pone.0052501 Text en © 2013 Migheli et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Migheli, Francesca
Stoccoro, Andrea
Coppedè, Fabio
Wan Omar, Wan Adnan
Failli, Alessandra
Consolini, Rita
Seccia, Massimo
Spisni, Roberto
Miccoli, Paolo
Mathers, John C.
Migliore, Lucia
Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation
title Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation
title_full Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation
title_fullStr Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation
title_full_unstemmed Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation
title_short Comparison Study of MS-HRM and Pyrosequencing Techniques for Quantification of APC and CDKN2A Gene Methylation
title_sort comparison study of ms-hrm and pyrosequencing techniques for quantification of apc and cdkn2a gene methylation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3543439/
https://www.ncbi.nlm.nih.gov/pubmed/23326336
http://dx.doi.org/10.1371/journal.pone.0052501
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