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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...

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Autores principales: Brigliadori, Giovanni, Goffredo, Giulia, Bartolini, Daniela, Tosatto, Luigino, Gurrieri, Lorena, Mercatali, Laura, Ibrahim, Toni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
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.
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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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