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Predictive MGMT status in a homogeneous cohort of IDH wildtype glioblastoma patients
Methylation of the O(6)-Methylguanine-DNA methyltransferase (MGMT) promoter is predictive for treatment response in glioblastoma patients. However, precise predictive cutoff values to distinguish “MGMT methylated” from “MGMT unmethylated” patients remain highly debated in terms of pyrosequencing (PS...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549362/ https://www.ncbi.nlm.nih.gov/pubmed/31167648 http://dx.doi.org/10.1186/s40478-019-0745-z |
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author | Radke, Josefine Koch, Arend Pritsch, Fabienne Schumann, Elisa Misch, Martin Hempt, Claudia Lenz, Klaus Löbel, Franziska Paschereit, Fabienne Heppner, Frank L. Vajkoczy, Peter Koll, Randi Onken, Julia |
author_facet | Radke, Josefine Koch, Arend Pritsch, Fabienne Schumann, Elisa Misch, Martin Hempt, Claudia Lenz, Klaus Löbel, Franziska Paschereit, Fabienne Heppner, Frank L. Vajkoczy, Peter Koll, Randi Onken, Julia |
author_sort | Radke, Josefine |
collection | PubMed |
description | Methylation of the O(6)-Methylguanine-DNA methyltransferase (MGMT) promoter is predictive for treatment response in glioblastoma patients. However, precise predictive cutoff values to distinguish “MGMT methylated” from “MGMT unmethylated” patients remain highly debated in terms of pyrosequencing (PSQ) analysis. We retrospectively analyzed a clinically and molecularly very well-characterized cohort of 111 IDH wildtype glioblastoma patients, who underwent gross total tumor resection and received standard Stupp treatment. Detailed clinical parameters were obtained. Predictive cutoff values for MGMT promoter methylation were determined using ROC curve analysis and survival curve comparison using Log-rank (Mantel-Cox) test. MGMT status was analyzed using pyrosequencing (PSQ), semi-quantitative methylation specific PCR (sqMSP) and direct bisulfite sequencing (dBiSeq). Highly methylated (> 20%) MGMT correlated with significantly improved progression-free survival (PFS) and overall survival (OS) in our cohort. Median PFS was 7.2 months in the unmethylated group (UM, < 10% mean methylation), 10.4 months in the low methylated group (LM, 10-20% mean methylation) and 19.83 months in the highly methylated group (HM, > 20% mean methylation). Median OS was 13.4 months for UM, 17.9 months for LM and 29.93 months for HM. Within the LM group, correlation of PSQ and sqMSP or dBiSeq was only conclusive in 51.5% of our cases. ROC curve analysis revealed superior test precision for survival if additional sqMSP results were considered (AUC = 0.76) compared to PSQ (cutoff 10%) alone (AUC = 0.67). We therefore challenge the widely used, strict PSQ cutoff at 10% which might not fully reflect the clinical response to alkylating agents and suggest applying a second method for MGMT testing (e.g. MSP) to confirm PSQ results for patients with LM MGMT levels if therapeutically relevant. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40478-019-0745-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6549362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65493622019-06-06 Predictive MGMT status in a homogeneous cohort of IDH wildtype glioblastoma patients Radke, Josefine Koch, Arend Pritsch, Fabienne Schumann, Elisa Misch, Martin Hempt, Claudia Lenz, Klaus Löbel, Franziska Paschereit, Fabienne Heppner, Frank L. Vajkoczy, Peter Koll, Randi Onken, Julia Acta Neuropathol Commun Research Methylation of the O(6)-Methylguanine-DNA methyltransferase (MGMT) promoter is predictive for treatment response in glioblastoma patients. However, precise predictive cutoff values to distinguish “MGMT methylated” from “MGMT unmethylated” patients remain highly debated in terms of pyrosequencing (PSQ) analysis. We retrospectively analyzed a clinically and molecularly very well-characterized cohort of 111 IDH wildtype glioblastoma patients, who underwent gross total tumor resection and received standard Stupp treatment. Detailed clinical parameters were obtained. Predictive cutoff values for MGMT promoter methylation were determined using ROC curve analysis and survival curve comparison using Log-rank (Mantel-Cox) test. MGMT status was analyzed using pyrosequencing (PSQ), semi-quantitative methylation specific PCR (sqMSP) and direct bisulfite sequencing (dBiSeq). Highly methylated (> 20%) MGMT correlated with significantly improved progression-free survival (PFS) and overall survival (OS) in our cohort. Median PFS was 7.2 months in the unmethylated group (UM, < 10% mean methylation), 10.4 months in the low methylated group (LM, 10-20% mean methylation) and 19.83 months in the highly methylated group (HM, > 20% mean methylation). Median OS was 13.4 months for UM, 17.9 months for LM and 29.93 months for HM. Within the LM group, correlation of PSQ and sqMSP or dBiSeq was only conclusive in 51.5% of our cases. ROC curve analysis revealed superior test precision for survival if additional sqMSP results were considered (AUC = 0.76) compared to PSQ (cutoff 10%) alone (AUC = 0.67). We therefore challenge the widely used, strict PSQ cutoff at 10% which might not fully reflect the clinical response to alkylating agents and suggest applying a second method for MGMT testing (e.g. MSP) to confirm PSQ results for patients with LM MGMT levels if therapeutically relevant. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40478-019-0745-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-05 /pmc/articles/PMC6549362/ /pubmed/31167648 http://dx.doi.org/10.1186/s40478-019-0745-z Text en © The Author(s). 2019 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 Radke, Josefine Koch, Arend Pritsch, Fabienne Schumann, Elisa Misch, Martin Hempt, Claudia Lenz, Klaus Löbel, Franziska Paschereit, Fabienne Heppner, Frank L. Vajkoczy, Peter Koll, Randi Onken, Julia Predictive MGMT status in a homogeneous cohort of IDH wildtype glioblastoma patients |
title | Predictive MGMT status in a homogeneous cohort of IDH wildtype glioblastoma patients |
title_full | Predictive MGMT status in a homogeneous cohort of IDH wildtype glioblastoma patients |
title_fullStr | Predictive MGMT status in a homogeneous cohort of IDH wildtype glioblastoma patients |
title_full_unstemmed | Predictive MGMT status in a homogeneous cohort of IDH wildtype glioblastoma patients |
title_short | Predictive MGMT status in a homogeneous cohort of IDH wildtype glioblastoma patients |
title_sort | predictive mgmt status in a homogeneous cohort of idh wildtype glioblastoma patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549362/ https://www.ncbi.nlm.nih.gov/pubmed/31167648 http://dx.doi.org/10.1186/s40478-019-0745-z |
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