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  3. Quantitative Analysis of the MGMT Methylation Status of Glioblastomas in Light of the 2021 WHO Classification.

Quantitative Analysis of the MGMT Methylation Status of Glioblastomas in Light of the 2021 WHO Classification.

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DOI
10.48350/171215
Publisher DOI
10.3390/cancers14133149
PubMed ID
35804921
Abstract
BACKGROUND

Glioblastomas with methylation of the promoter region of the O(6)-methylguanine-DNA methyltransferase (MGMT) gene exhibit increased sensitivity to alkylating chemotherapy. Quantitative assessment of the MGMT promoter methylation status might provide additional prognostic information. The aim of our study was to determine a quantitative methylation threshold for better survival among patients with glioblastomas.

METHODS

We included consecutive patients ≥18 years treated at our department between 11/2010 and 08/2018 for a glioblastoma, IDH wildtype, undergoing quantitative MGMT promoter methylation analysis. The primary endpoint was overall survival.

RESULTS

A total of 321 patients were included. Median overall survival was 12.6 months. Kaplan-Meier and adjusted Cox regression analysis showed better survival for the groups with 16-30%, 31-60%, and 61-100% methylation. In contrast, survival in the group with 1-15% methylation was similar to those with unmethylated promoter regions. A secondary analysis confirmed this threshold.

CONCLUSIONS

Better survival is observed in patients with glioblastomas with ≥16% methylation of the MGMT promoter region than with <16% methylation. Survival with tumors with 1-15% methylation is similar to with unmethylated tumors. Above 16% methylation, we found no additional benefit with increasing methylation.
Date Issued
2022-06-27
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology
Subjects
O(6)-methylguanine-DNA methyltransferase glioblastoma temozolomide
Language(s)
en
Author(s)
Häni, Levin  
Universitätsklinik für Neurochirurgie  
Kopcic, Monika
Branca, Mattia  
Clinical Trials Unit Bern (CTU)  
Schütz, Alessa Li-Na  
Universitätsklinik für Neurochirurgie  
Murek, Michael Konrad  orcid-logo
Universitätsklinik für Neurochirurgie  
Soell, Nicole  
Universitätsklinik für Neurochirurgie  
Vassella, Erik  
Institut für Pathologie, Tumorpathologie  
Institut für Pathologie  
Raabe, Andreas  
Universitätsklinik für Neurochirurgie  
Hewer, Ekkehard Walter  orcid-logo
Institut für Pathologie  
Schucht, Philippe  
Universitätsklinik für Neurochirurgie  
Additional Credits
Clinical Trials Unit Bern (CTU)  
Universitätsklinik für Neurochirurgie  
Institut für Pathologie, Tumorpathologie  
Institut für Pathologie  
Journal
Cancers
Publisher
MDPI AG
ISSN
2072-6694
Access(Rights)
Unknown
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