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Influence of Intratumor Heterogeneity on the Predictivity of MGMT Gene Promoter Methylation Status in Glioblastoma
Glioblastoma is the most aggressive tumor of the central nervous system. Prognosis is poor, even in the presence of a methylated state of MGMT gene promoter, which represents the biomarker with the highest prognostic/predictive value for the standard treatment of patients. Among patients with a meth...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7606920/ https://www.ncbi.nlm.nih.gov/pubmed/33194592 http://dx.doi.org/10.3389/fonc.2020.533000 |
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author | Brigliadori, Giovanni Goffredo, Giulia Bartolini, Daniela Tosatto, Luigino Gurrieri, Lorena Mercatali, Laura Ibrahim, Toni |
author_facet | Brigliadori, Giovanni Goffredo, Giulia Bartolini, Daniela Tosatto, Luigino Gurrieri, Lorena Mercatali, Laura Ibrahim, Toni |
author_sort | Brigliadori, Giovanni |
collection | PubMed |
description | Glioblastoma is the most aggressive tumor of the central nervous system. Prognosis is poor, even in the presence of a methylated state of MGMT gene promoter, which represents the biomarker with the highest prognostic/predictive value for the standard treatment of patients. Among patients with a methylated MGMT status, we identified an intermediate range of methylation above the standard 9% cut-off (gray zone) in which the predictive strength of the marker was lost. In an effort to improve the evaluation of the biomarker in clinical decision-making, we are carrying out a retrospective study, performing an in-depth analysis of samples used for diagnosis to understand how molecular heterogeneity, a hallmark of glioblastoma, impacts the evaluation of MGMT gene promoter methylation. Preliminary data from samples belonging to the “gray zone” tend to confirm the hypothesis of a mismatch between methylation values used for clinical decision-making and those included in our in-depth analysis. Confirmation of these data would help to better define the predictive power of MGMT promoter methylation status and greatly facilitate clinical decision-making. |
format | Online Article Text |
id | pubmed-7606920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76069202020-11-13 Influence of Intratumor Heterogeneity on the Predictivity of MGMT Gene Promoter Methylation Status in Glioblastoma Brigliadori, Giovanni Goffredo, Giulia Bartolini, Daniela Tosatto, Luigino Gurrieri, Lorena Mercatali, Laura Ibrahim, Toni Front Oncol Oncology Glioblastoma is the most aggressive tumor of the central nervous system. Prognosis is poor, even in the presence of a methylated state of MGMT gene promoter, which represents the biomarker with the highest prognostic/predictive value for the standard treatment of patients. Among patients with a methylated MGMT status, we identified an intermediate range of methylation above the standard 9% cut-off (gray zone) in which the predictive strength of the marker was lost. In an effort to improve the evaluation of the biomarker in clinical decision-making, we are carrying out a retrospective study, performing an in-depth analysis of samples used for diagnosis to understand how molecular heterogeneity, a hallmark of glioblastoma, impacts the evaluation of MGMT gene promoter methylation. Preliminary data from samples belonging to the “gray zone” tend to confirm the hypothesis of a mismatch between methylation values used for clinical decision-making and those included in our in-depth analysis. Confirmation of these data would help to better define the predictive power of MGMT promoter methylation status and greatly facilitate clinical decision-making. Frontiers Media S.A. 2020-10-20 /pmc/articles/PMC7606920/ /pubmed/33194592 http://dx.doi.org/10.3389/fonc.2020.533000 Text en Copyright © 2020 Brigliadori, Goffredo, Bartolini, Tosatto, Gurrieri, Mercatali and Ibrahim. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Brigliadori, Giovanni Goffredo, Giulia Bartolini, Daniela Tosatto, Luigino Gurrieri, Lorena Mercatali, Laura Ibrahim, Toni Influence of Intratumor Heterogeneity on the Predictivity of MGMT Gene Promoter Methylation Status in Glioblastoma |
title | Influence of Intratumor Heterogeneity on the Predictivity of MGMT Gene Promoter Methylation Status in Glioblastoma |
title_full | Influence of Intratumor Heterogeneity on the Predictivity of MGMT Gene Promoter Methylation Status in Glioblastoma |
title_fullStr | Influence of Intratumor Heterogeneity on the Predictivity of MGMT Gene Promoter Methylation Status in Glioblastoma |
title_full_unstemmed | Influence of Intratumor Heterogeneity on the Predictivity of MGMT Gene Promoter Methylation Status in Glioblastoma |
title_short | Influence of Intratumor Heterogeneity on the Predictivity of MGMT Gene Promoter Methylation Status in Glioblastoma |
title_sort | influence of intratumor heterogeneity on the predictivity of mgmt gene promoter methylation status in glioblastoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7606920/ https://www.ncbi.nlm.nih.gov/pubmed/33194592 http://dx.doi.org/10.3389/fonc.2020.533000 |
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