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Clinical validation of a novel quantitative assay for the detection of MGMT methylation in glioblastoma patients

Authors :
Instituto de Salud Carlos III
European Commission
Rosas, Rocio
Colmenarejo-Fernández, Julián
Pernía, Olga
Rodriguez-Antolín, Carlos
Esteban Rodriguez, Isabel
Ghanem, Ismael
Sanchez-Cabrero, Darío
Losantos-García, Itsaso
Palacios-Zambrano, Sara
Moreno-Bueno, Gema
Castro Carpeño, Javier de
Martínez-Marín, Virginia
Ibáñez de Cáceres, Inmaculada
Instituto de Salud Carlos III
European Commission
Rosas, Rocio
Colmenarejo-Fernández, Julián
Pernía, Olga
Rodriguez-Antolín, Carlos
Esteban Rodriguez, Isabel
Ghanem, Ismael
Sanchez-Cabrero, Darío
Losantos-García, Itsaso
Palacios-Zambrano, Sara
Moreno-Bueno, Gema
Castro Carpeño, Javier de
Martínez-Marín, Virginia
Ibáñez de Cáceres, Inmaculada
Publication Year :
2021

Abstract

[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.

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1306020127
Document Type :
Electronic Resource