Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis

Resistance to chemotherapy is a major complication during treatment of cancer patients. Hypermethylation of the MGMT gene alters DNA repair and is associated with longer survival of glioblastoma patients treated with alkylating agents. Therefore, MGMT promoter methylation plays an important role as...

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Main Author: El Maarri, Osman (author)
Other Authors: Mikeska, Thomas (author), Bock, Christoph (author), Hubner, Anika (author), Ehrentraut, Denise (author), Schramm, Johannes (author), Felsberg, Jorg (author), Khl, Philip (author), Buttner, Reinhard (author), Pietsch, Torsten (author), Waha, Andreas (author)
Format: article
Published: 2007
Online Access:http://hdl.handle.net/10725/6179
https://doi.org/10.2353/jmoldx.2007.060167
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
http://www.sciencedirect.com/science/article/pii/S1525157810604060
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author El Maarri, Osman
author2 Mikeska, Thomas
Bock, Christoph
Hubner, Anika
Ehrentraut, Denise
Schramm, Johannes
Felsberg, Jorg
Khl, Philip
Buttner, Reinhard
Pietsch, Torsten
Waha, Andreas
author2_role author
author
author
author
author
author
author
author
author
author
author_facet El Maarri, Osman
Mikeska, Thomas
Bock, Christoph
Hubner, Anika
Ehrentraut, Denise
Schramm, Johannes
Felsberg, Jorg
Khl, Philip
Buttner, Reinhard
Pietsch, Torsten
Waha, Andreas
author_role author
dc.creator.none.fl_str_mv El Maarri, Osman
Mikeska, Thomas
Bock, Christoph
Hubner, Anika
Ehrentraut, Denise
Schramm, Johannes
Felsberg, Jorg
Khl, Philip
Buttner, Reinhard
Pietsch, Torsten
Waha, Andreas
dc.date.none.fl_str_mv 2007
2017-09-13T09:03:11Z
2017-09-13T09:03:11Z
2017-09-13
dc.identifier.none.fl_str_mv 1943-7811
http://hdl.handle.net/10725/6179
https://doi.org/10.2353/jmoldx.2007.060167
Mikeska, T., Bock, C., El-Maarri, O., Hübner, A., Ehrentraut, D., Schramm, J., ... & Waha, A. (2007). Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis. The Journal of Molecular Diagnostics, 9(3), 368-381.
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
http://www.sciencedirect.com/science/article/pii/S1525157810604060
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv The Journal of Molecular Diagnostics
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.title.none.fl_str_mv Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis
dc.type.none.fl_str_mv Article
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Resistance to chemotherapy is a major complication during treatment of cancer patients. Hypermethylation of the MGMT gene alters DNA repair and is associated with longer survival of glioblastoma patients treated with alkylating agents. Therefore, MGMT promoter methylation plays an important role as a predictive biomarker for chemotherapy resistance. To adopt this established correlation into a molecular diagnosis procedure, we compared and optimized three experimental techniques [combined bisulfite restriction analysis, a primer extension- and denaturing high-performance liquid chromatography-based method named SIRPH (SNuPE ion pair-reverse phase high-performance liquid chromatography), and pyrosequencing] with regard to their accuracy of detecting MGMT promoter methylation. Initially, bisulfite sequencing was used to obtain a comprehensive methylation profile of the MGMT promoter region in 22 glioblastoma samples and in three normal brain controls. Next, we statistically identified CpG sites that best discriminate between methylated and unmethylated MGMT promoters. These results were then used to design optimal combined bisulfite restriction analysis, SIRPH, and pyrosequencing assays for accurate and cost-efficient assessment of MGMT promoter methylation. We compared all three techniques with regard to their reliability and reproducibility on well-characterized tumor samples. The optimized pyrosequencing assay performed best and provides a sensitive, robust, and easy-to-use method for quantitative assessment of MGMT methylation, for both snap-frozen and paraffin-embedded specimens.
eu_rights_str_mv openAccess
format article
id LAURepo_c9f2fb38791ef06427c2e992ded5aa4f
identifier_str_mv 1943-7811
Mikeska, T., Bock, C., El-Maarri, O., Hübner, A., Ehrentraut, D., Schramm, J., ... & Waha, A. (2007). Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis. The Journal of Molecular Diagnostics, 9(3), 368-381.
language_invalid_str_mv en
network_acronym_str LAURepo
network_name_str Lebanese American University repository
oai_identifier_str oai:laur.lau.edu.lb:10725/6179
publishDate 2007
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spelling Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysisEl Maarri, OsmanMikeska, ThomasBock, ChristophHubner, AnikaEhrentraut, DeniseSchramm, JohannesFelsberg, JorgKhl, PhilipButtner, ReinhardPietsch, TorstenWaha, AndreasResistance to chemotherapy is a major complication during treatment of cancer patients. Hypermethylation of the MGMT gene alters DNA repair and is associated with longer survival of glioblastoma patients treated with alkylating agents. Therefore, MGMT promoter methylation plays an important role as a predictive biomarker for chemotherapy resistance. To adopt this established correlation into a molecular diagnosis procedure, we compared and optimized three experimental techniques [combined bisulfite restriction analysis, a primer extension- and denaturing high-performance liquid chromatography-based method named SIRPH (SNuPE ion pair-reverse phase high-performance liquid chromatography), and pyrosequencing] with regard to their accuracy of detecting MGMT promoter methylation. Initially, bisulfite sequencing was used to obtain a comprehensive methylation profile of the MGMT promoter region in 22 glioblastoma samples and in three normal brain controls. Next, we statistically identified CpG sites that best discriminate between methylated and unmethylated MGMT promoters. These results were then used to design optimal combined bisulfite restriction analysis, SIRPH, and pyrosequencing assays for accurate and cost-efficient assessment of MGMT promoter methylation. We compared all three techniques with regard to their reliability and reproducibility on well-characterized tumor samples. The optimized pyrosequencing assay performed best and provides a sensitive, robust, and easy-to-use method for quantitative assessment of MGMT methylation, for both snap-frozen and paraffin-embedded specimens.PublishedN/A2017-09-13T09:03:11Z2017-09-13T09:03:11Z20072017-09-13Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1943-7811http://hdl.handle.net/10725/6179https://doi.org/10.2353/jmoldx.2007.060167Mikeska, T., Bock, C., El-Maarri, O., Hübner, A., Ehrentraut, D., Schramm, J., ... & Waha, A. (2007). Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis. The Journal of Molecular Diagnostics, 9(3), 368-381.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://www.sciencedirect.com/science/article/pii/S1525157810604060enThe Journal of Molecular Diagnosticsinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/61792021-03-19T10:00:49Z
spellingShingle Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis
El Maarri, Osman
status_str publishedVersion
title Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis
title_full Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis
title_fullStr Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis
title_full_unstemmed Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis
title_short Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis
title_sort Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis
url http://hdl.handle.net/10725/6179
https://doi.org/10.2353/jmoldx.2007.060167
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
http://www.sciencedirect.com/science/article/pii/S1525157810604060