MGMT promoter methylation analysis for allocating combined CCNU/TMZ chemotherapy: Lessons learned from the CeTeG/NOA-09 trial

Theophilos Tzaridis, Niklas Schäfer, Johannes Weller, Joachim-Peter Steinbach, Uwe Schlegel, Sabine Seidel, Michael Sabel, Peter Hau, Clemens Seidel, Dietmar Krex, Roland Goldbrunner, Jörg-Christian Tonn, Oliver Grauer, Sied Kebir, Matthias Schneider, Christina Schaub, Hartmut Vatter, Christoph Coch, Martin Glas, Rolf Fimmers, Torsten Pietsch, Guido Reifenberger, Ulrich Herrlinger, Jörg Felsberg, Theophilos Tzaridis, Niklas Schäfer, Johannes Weller, Joachim-Peter Steinbach, Uwe Schlegel, Sabine Seidel, Michael Sabel, Peter Hau, Clemens Seidel, Dietmar Krex, Roland Goldbrunner, Jörg-Christian Tonn, Oliver Grauer, Sied Kebir, Matthias Schneider, Christina Schaub, Hartmut Vatter, Christoph Coch, Martin Glas, Rolf Fimmers, Torsten Pietsch, Guido Reifenberger, Ulrich Herrlinger, Jörg Felsberg

Abstract

The CeTeG/NOA-09 trial showed a survival benefit for combined CCNU/TMZ therapy in MGMT-promoter-methylated glioblastoma patients (quantitative methylation-specific PCR [qMSP] ratio > 2). Here, we report on the prognostic value of the MGMT promoter methylation ratio determined by qMSP and evaluate the concordance of MGMT methylation results obtained by qMSP, pyrosequencing (PSQ) or DNA methylation arrays (MGMT-STP27). A potential association of qMSP ratio with survival was analyzed in the CeTeG/NOA-09 trial population (n = 129; log-rank tests, Cox regression analyses). The concordance of MGMT methylation assays (qMSP, PSQ and MGMT-STP27) was evaluated in 76 screened patients. Patients with tumors of qMSP ratio > 4 showed superior survival compared to those with ratios 2-4 (P = .0251, log-rank test). In multivariate analysis, the qMSP ratio was not prognostic across the study cohort (hazard ratio [HR] = 0.88; 95% CI: 0.72-1.08). With different cutoffs for qMSP ratio (4, 9, 12 or 25), the CCNU/TMZ benefit tended to be larger in subgroups with lower ratios (eg, for cutoff 9: HR 0.32 for lower subgroup, 0.73 for higher subgroup). The concordance rates with qMSP were 94.4% (PSQ) and 90.2% (MGMT-STP27). Discordant results were restricted to tumors with qMSP ratios ≤4 and PSQ mean methylation rate ≤25%. Despite a shorter survival in MGMT-promoter-methylated patients with lower methylation according to qMSP, these patients had a benefit from combined CCNU/TMZ therapy, which even tended to be stronger than in patients with higher methylation rates. With acceptable concordance rates, decisions on CCNU/TMZ therapy may also be based on PSQ or MGMT-STP27.

Trial registration: ClinicalTrials.gov NCT01149109.

Keywords: CCNU/TMZ; MGMT promoter methylation; glioblastoma.

© 2020 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of Union for International Cancer Control.

References

REFERENCES

    1. Wick W, Weller M, van den Bent M, et al. MGMT testing-the challenges for biomarker-based glioma treatment. Nat Rev Neurol. 2014;10:372-385.
    1. Chinot OL, Wick W, Cloughesy T. Bevacizumab for newly diagnosed glioblastoma. N Engl J Med. 2014;370:709-722.
    1. Stupp R, Mason WP, van den Bent MJ, et al. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med. 2005;352:987-996.
    1. Hegi ME, Diserens AC, Gorlia T, et al. MGMT gene silencing and benefit from temozolomide in glioblastoma. N Engl J Med. 2005;352:997-1003.
    1. Tzaridis T, Gepfner-Tuma I, Hirsch S, et al. Regorafenib in advanced high-grade glioma: a retrospective bicentric analysis. Neuro Oncol. 2019;21:954-955.
    1. Stupp R, Hegi ME, Gorlia T, et al. Cilengitide combined with standard treatment for patients with newly diagnosed glioblastoma with methylated MGMT promoter (CENTRIC EORTC 26071-22072 study): a multicentre, randomised, open-label, phase 3 trial. Lancet Oncol. 2014;15:1100-1108.
    1. van den Bent MJ, Baumert B, Erridge SC, et al. Interim results from the CATNON trial (EORTC study 26053-22054) of treatment with concurrent and adjuvant temozolomide for 1p/19q non-co-deleted anaplastic glioma: a phase 3, randomised, open-label intergroup study. Lancet. 2017;390:1645-1653.
    1. Wick W, Gorlia T, Bendszus M, et al. Lomustine and Bevacizumab in progressive Glioblastoma. N Engl J Med. 2017;377:1954-1963.
    1. Herrlinger U, Schafer N, Steinbach JP, et al. Bevacizumab plus Irinotecan versus Temozolomide in newly diagnosed O6-Methylguanine-DNA Methyltransferase nonmethylated Glioblastoma: the randomized GLARIUS trial. J Clin Oncol. 2016;34:1611-1619.
    1. Vlassenbroeck I, Califice S, Diserens AC, et al. Validation of real-time methylation-specific PCR to determine O6-methylguanine-DNA methyltransferase gene promoter methylation in glioma. J Mol Diagn. 2008;10:332-337.
    1. Mikeska T, Bock C, El-Maarri O, et al. Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis. J Mol Diagn. 2007;9:368-381.
    1. Bady P, Sciuscio D, Diserens AC, et al. MGMT methylation analysis of glioblastoma on the Infinium methylation BeadChip identifies two distinct CpG regions associated with gene silencing and outcome, yielding a prediction model for comparisons across datasets, tumor grades, and CIMP-status. Acta Neuropathol. 2012;124:547-560.
    1. Quillien V, Lavenu A, Ducray F, et al. Validation of the high-performance of pyrosequencing for clinical MGMT testing on a cohort of glioblastoma patients from a prospective dedicated multicentric trial. Oncotarget. 2016;7:61916-61929.
    1. Radke J, Koch A, Pritsch F, et al. Predictive MGMT status in a homogeneous cohort of IDH wildtype glioblastoma patients. Acta Neuropathol Commun. 2019;7:89.
    1. Reifenberger G, Hentschel B, Felsberg J, et al. Predictive impact of MGMT promoter methylation in glioblastoma of the elderly. Int J Cancer. 2012;131:1342-1350.
    1. Malley DS, Hamoudi RA, Kocialkowski S, Pearson DM, Collins VP, Ichimura K. A distinct region of the MGMT CpG Island critical for transcriptional regulation is preferentially methylated in glioblastoma cells and xenografts. Acta Neuropathol. 2011;121:651-661.
    1. Hovestadt V, Remke M, Kool M, et al. Robust molecular subgrouping and copy-number profiling of medulloblastoma from small amounts of archival tumour material using high-density DNA methylation arrays. Acta Neuropathol. 2013;125:913-916.
    1. Bady P, Delorenzi M, Hegi ME. Sensitivity analysis of the MGMT-STP27 model and impact of genetic and epigenetic context to predict the MGMT methylation status in Gliomas and other tumors. J Mol Diagn. 2016;18:350-361.
    1. Herrlinger U, Tzaridis T, Mack F, et al. Lomustine-temozolomide combination therapy versus standard temozolomide therapy in patients with newly diagnosed glioblastoma with methylated MGMT promoter (CeTeG/NOA-09): a randomised, open-label, phase 3 trial. Lancet. 2019;393:678-688.
    1. Hegi ME, Genbrugge E, Gorlia T, et al. MGMT Promoter methylation cutoff with safety margin for selecting Glioblastoma patients into trials omitting Temozolomide. A pooled analysis of four clinical trials. Clin Cancer Res. 2018;25:1809-1816.
    1. Wiestler B, Capper D, Hovestadt V, et al. Assessing CpG Island methylator phenotype, 1p/19q codeletion, and MGMT promoter methylation from epigenome-wide data in the biomarker cohort of the NOA-04 trial. Neuro Oncol. 2014;16:1630-1638.
    1. Felsberg J, Thon N, Eigenbrod S, et al. Promoter methylation and expression of MGMT and the DNA mismatch repair genes MLH1, MSH2, MSH6 and PMS2 in paired primary and recurrent glioblastomas. Int J Cancer. 2011;129:659-670.
    1. Gurrieri L, De Carlo E, Gerratana L, et al. MGMT pyrosequencing-based cut-off methylation level and clinical outcome in patients with glioblastoma multiforme. Future Oncol. 2018;14:699-707.
    1. De Carlo E, Gerratana L, De Maglio G, et al. Defining a prognostic score based on O6-methylguanine-DNA methyltransferase cut-off methylation level determined by pyrosequencing in patients with glioblastoma multiforme. J Neurooncol. 2018;140:559-568.
    1. Yuan G, Niu L, Zhang Y, et al. Defining optimal cutoff value of MGMT promoter methylation by ROC analysis for clinical setting in glioblastoma patients. J Neurooncol. 2017;133:193-201.
    1. Capper D, Jones DTW, Sill M, et al. DNA methylation-based classification of central nervous system tumours. Nature. 2018;555:469-474.

Source: PubMed

3
Tilaa