Weak MGMT gene promoter methylation confers a clinically significant survival benefit in patients with newly diagnosed glioblastoma: a retrospective cohort study

Introduction Quantitative methylation specific PCR (qMSP) is a frequently used technique to assess MGMT gene promoter methylation in glioblastoma patients. The optimal technical cut-off value to distinguish methylated from unmethylated samples is nevertheless still undetermined. In literature, a “gr...

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Veröffentlicht in:Journal of neuro-oncology 2020, Vol.146 (1), p.55-62
Hauptverfasser: Pinson, H., Hallaert, G., Van der Meulen, J., Dedeurwaerdere, F., Vanhauwaert, D., Van den Broecke, C., Van Dorpe, J., Van Roost, D., Kalala, J. P., Boterberg, T.
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Sprache:eng
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Zusammenfassung:Introduction Quantitative methylation specific PCR (qMSP) is a frequently used technique to assess MGMT gene promoter methylation in glioblastoma patients. The optimal technical cut-off value to distinguish methylated from unmethylated samples is nevertheless still undetermined. In literature, a “grey zone” of diagnostic uncertainty has been described. Methods We performed a retrospective analysis of newly diagnosed glioblastoma patients treated according to the Stupp protocol. Epidemiological data were gathered from the individual patient files. MGMT gene promoter methylation status was determined on stored tumour samples using qMSP. A strong, weak or absent promoter methylation was determined based on Cq values (quantification value) of the MGMT and ACTB primers as well as a positive control sample. Results In total, 181 patient files were reviewed and included for statistical analysis. MGMT promoter hypermethylation was detected in 38.7% of glioblastoma patients. The median overall survival of unmethylated and strongly methylated patients was 10.1 months and 19.7 months respectively. Furthermore, 11% of the total patient cohort had a weak MGMT gene promoter methylation. The median OS in this subgroup was 15.4 months, significantly better compared to the unmethylated cohort (P 
ISSN:0167-594X
1573-7373
DOI:10.1007/s11060-019-03334-5