Clinical validation of a novel quantitative assay for the detection of MGMT methylation in glioblastoma patients
Author
Rosas Alonso, Rocío; Colmenarejo‑Fernandez, Julian; Pernía, Olga; Rodríguez-Antolín, Carlos; Esteban, Isabel; Ghanem, Ismael; Sanchez-Cabrero, Darío; Losantos-Garcia, Itsaso; Palacios-Zambrano, Sara; Moreno Bueno, Gema
Entity
UAM. Departamento de BioquímicaPublisher
Biomed Central Ltd.Date
2021-03-09Citation
Clinical Epigenetics 13.1 (2021): 52ISSN
1868-7083Funded by
This study was supported by the “Fondo de Investigación Sanitaria-Instituto de Salud Carlos III” PI18/00050, DTS20/00029 and the European Regional Development Fund/European Social Fund FIS FEDER/FSE, Una Manera de Hacer EuropaEditor's Version
https://doi.org/10.1186/s13148-021-01044-2Subjects
MGMT methylation; MSP; Dp_qMSP; Glioblastoma; MedicinaNote
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliationsRights
© The Author(s) 2021Abstract
Background
The promoter hypermethylation of the methylguanine-DNA methyltransferase gene is a frequently used biomarker in daily clinical practice as it is associated with a favorable prognosis in glioblastoma patients treated with temozolamide. Due to the absence of adequately standardized techniques, international harmonization of the MGMT methylation biomarker is still an unmet clinical need for the diagnosis and treatment of glioblastoma patients.
Results
In this study we carried out a clinical validation of a quantitative assay for MGMT methylation detection by comparing a novel quantitative MSP using double-probe (dp_qMSP) with the conventional MSP in 100 FFPE glioblastoma samples. We performed both technologies and established the best cutoff for the identification of positive-methylated samples using the quantitative data obtained from dp_qMSP. Kaplan–Meier curves and ROC time dependent curves were employed for the comparison of both methodologies.
Conclusions
We obtained similar results using both assays in the same cohort of patients, in terms of progression free survival and overall survival according to Kaplan–Meier curves. In addition, the results of ROC(t) curves showed that dp_qMSP increases the area under curve time-dependent in comparison with MSP for predicting progression free survival and overall survival over time. We concluded that dp_qMSP is an alternative methodology compatible with the results obtained with the conventional MSP. Our assay will improve the therapeutic management of glioblastoma patients, being a more sensitive and competitive alternative methodology that ensures the standardization of the MGMT-biomarker making it reliable and suitable for clinical use
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Google Scholar:Rosas Alonso, Rocío
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Colmenarejo‑Fernandez, Julian
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Pernía, Olga
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Rodríguez-Antolín, Carlos
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Esteban, Isabel
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Ghanem, Ismael
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Sanchez-Cabrero, Darío
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Losantos-Garcia, Itsaso
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Palacios-Zambrano, Sara
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Moreno Bueno, Gema
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Castro, Javier de
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Martínez-Marín, Virginia
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Ibáñez de Cáceres, Inmaculada
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