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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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.
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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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