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MGMT promoter methylation determined by HRM in comparison to MSP and pyrosequencing for predicting high-grade glioma response

BACKGROUND: The DNA repair protein O(6)-methylguanine-DNA methyltransferase (MGMT) causes resistance of cancer cells to alkylating agents and, therefore, is a well-established predictive marker for high-grade gliomas that are routinely treated with alkylating drugs. Since MGMT is highly epigenetical...

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Autores principales: Switzeny, Olivier J., Christmann, Markus, Renovanz, Mirjam, Giese, Alf, Sommer, Clemens, Kaina, Bernd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858829/
https://www.ncbi.nlm.nih.gov/pubmed/27158275
http://dx.doi.org/10.1186/s13148-016-0204-7
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author Switzeny, Olivier J.
Christmann, Markus
Renovanz, Mirjam
Giese, Alf
Sommer, Clemens
Kaina, Bernd
author_facet Switzeny, Olivier J.
Christmann, Markus
Renovanz, Mirjam
Giese, Alf
Sommer, Clemens
Kaina, Bernd
author_sort Switzeny, Olivier J.
collection PubMed
description BACKGROUND: The DNA repair protein O(6)-methylguanine-DNA methyltransferase (MGMT) causes resistance of cancer cells to alkylating agents and, therefore, is a well-established predictive marker for high-grade gliomas that are routinely treated with alkylating drugs. Since MGMT is highly epigenetically regulated, the MGMT promoter methylation status is taken as an indicator of MGMT silencing, predicting the outcome of glioma therapy. MGMT promoter methylation is usually determined by methylation specific PCR (MSP), which is a labor intensive and error-prone method often used semi-quantitatively. Searching for alternatives, we used closed-tube high resolution melt (HRM) analysis, which is a quantitative method, and compared it with MSP and pyrosequencing regarding its predictive value. RESULTS: We analyzed glioblastoma cell lines with known MGMT activity and formalin-fixed samples from IDH1 wild-type high-grade glioma patients (WHO grade III/IV) treated with radiation and temozolomide by HRM, MSP, and pyrosequencing. The data were compared as to progression-free survival (PFS) and overall survival (OS) of patients exhibiting the methylated and unmethylated MGMT status. A promoter methylation cut-off level relevant for PFS and OS was determined. In a multivariate Cox regression model, methylation of MGMT promoter of high-grade gliomas analyzed by HRM, but not MSP, was found to be an independent predictive marker for OS. Univariate Kaplan–Meier analyses revealed for PFS and OS a significant and better discrimination between methylated and unmethylated tumors when quantitative HRM was used instead of MSP. CONCLUSIONS: Compared to MSP and pyrosequencing, the HRM method is simple, cost effective, highly accurate and fast. HRM is at least equivalent to pyrosequencing in quantifying the methylation level. It is superior in predicting PFS and OS of high-grade glioma patients compared to MSP and, therefore, can be recommended being used routinely for determination of the MGMT status of gliomas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-016-0204-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-48588292016-05-07 MGMT promoter methylation determined by HRM in comparison to MSP and pyrosequencing for predicting high-grade glioma response Switzeny, Olivier J. Christmann, Markus Renovanz, Mirjam Giese, Alf Sommer, Clemens Kaina, Bernd Clin Epigenetics Research BACKGROUND: The DNA repair protein O(6)-methylguanine-DNA methyltransferase (MGMT) causes resistance of cancer cells to alkylating agents and, therefore, is a well-established predictive marker for high-grade gliomas that are routinely treated with alkylating drugs. Since MGMT is highly epigenetically regulated, the MGMT promoter methylation status is taken as an indicator of MGMT silencing, predicting the outcome of glioma therapy. MGMT promoter methylation is usually determined by methylation specific PCR (MSP), which is a labor intensive and error-prone method often used semi-quantitatively. Searching for alternatives, we used closed-tube high resolution melt (HRM) analysis, which is a quantitative method, and compared it with MSP and pyrosequencing regarding its predictive value. RESULTS: We analyzed glioblastoma cell lines with known MGMT activity and formalin-fixed samples from IDH1 wild-type high-grade glioma patients (WHO grade III/IV) treated with radiation and temozolomide by HRM, MSP, and pyrosequencing. The data were compared as to progression-free survival (PFS) and overall survival (OS) of patients exhibiting the methylated and unmethylated MGMT status. A promoter methylation cut-off level relevant for PFS and OS was determined. In a multivariate Cox regression model, methylation of MGMT promoter of high-grade gliomas analyzed by HRM, but not MSP, was found to be an independent predictive marker for OS. Univariate Kaplan–Meier analyses revealed for PFS and OS a significant and better discrimination between methylated and unmethylated tumors when quantitative HRM was used instead of MSP. CONCLUSIONS: Compared to MSP and pyrosequencing, the HRM method is simple, cost effective, highly accurate and fast. HRM is at least equivalent to pyrosequencing in quantifying the methylation level. It is superior in predicting PFS and OS of high-grade glioma patients compared to MSP and, therefore, can be recommended being used routinely for determination of the MGMT status of gliomas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-016-0204-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-05-05 /pmc/articles/PMC4858829/ /pubmed/27158275 http://dx.doi.org/10.1186/s13148-016-0204-7 Text en © Switzeny et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Switzeny, Olivier J.
Christmann, Markus
Renovanz, Mirjam
Giese, Alf
Sommer, Clemens
Kaina, Bernd
MGMT promoter methylation determined by HRM in comparison to MSP and pyrosequencing for predicting high-grade glioma response
title MGMT promoter methylation determined by HRM in comparison to MSP and pyrosequencing for predicting high-grade glioma response
title_full MGMT promoter methylation determined by HRM in comparison to MSP and pyrosequencing for predicting high-grade glioma response
title_fullStr MGMT promoter methylation determined by HRM in comparison to MSP and pyrosequencing for predicting high-grade glioma response
title_full_unstemmed MGMT promoter methylation determined by HRM in comparison to MSP and pyrosequencing for predicting high-grade glioma response
title_short MGMT promoter methylation determined by HRM in comparison to MSP and pyrosequencing for predicting high-grade glioma response
title_sort mgmt promoter methylation determined by hrm in comparison to msp and pyrosequencing for predicting high-grade glioma response
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858829/
https://www.ncbi.nlm.nih.gov/pubmed/27158275
http://dx.doi.org/10.1186/s13148-016-0204-7
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