Impact of predictive impact of MGMT promoter methylation in malignant astrocytomas depends on the methylation subgroup.

Authors

null

Wolfgang Wick

National Center for Tumor Diseases (NCT), UKHD and German Cancer Research Center (DKFZ), Heidelberg, Germany

Wolfgang Wick , Tobias Kessler , Michael Platten , Christoph Meisner , Michael Bamberg , Ulrich Herrlinger , Caroline Happold , Sarah Weisang , Hanna Boelting , Joachim Steinbach , Guido Reifenberger , Felix Sahm , Andreas von Deimling , Antje Wick , Michael Weller

Organizations

National Center for Tumor Diseases (NCT), UKHD and German Cancer Research Center (DKFZ), Heidelberg, Germany, Neurology Clinic, DKFZ, DKTK, Heidelberg, Germany, Heidelberg University, Heidelberg, Germany, Institute for Medical Biometry, Tuebingen, Germany, Department of Radiation Oncology, University Hospital Tübingen, Tuebingen, Germany, Department of Neurology, University of Bonn Medical Center, Bonn, Germany, Laboratory of Molecular Neuro-Oncology, Department of Neurology, and Neuroscience Center Zurich, University Hospital and University of Zurich, Zurich, Switzerland, University of Heidelberg, Heidelberg, Germany, University of Frankfurt, Frankfurt, Germany, Department of Neuropathology, Heinrich Heine University Hospital, Düsseldorf, Germany, Heidelberg University Hospital, German Cancer Research Center (DKFZ), Heidelberg, Germany, Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital (UKHD), National Center for Tumor Diseases (NCT), UKHD and German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK) Core Center Heidelberg, Germany, Heidelberg, Germany, Neurology Clinic, University of Heidelberg, National Center for Tumor Diseases, Heidelberg, Germany

Research Funding

Other

Background: O6-methylguanine DNA-methyl transferase (MGMT) status is predictive for alkylating chemotherapy in most series, but there are non-benefitting subgroups. Despite multiple attempts, MGMT has not been unambiguously established as a predictive biomarker for patients with malignant gliomas. Further, these tumors are to be better classified according to global methylation profiles. Methods: Long-term efficacy data of the NOA-08 trial (NCT01502241) that compared efficacy and safety of radiotherapy (RT, n= 176) to temozolomide (TMZ, n= 193) in patients > 65 years with anaplastic astrocytoma (AA) or GB as well as genome-wide DNA methylation patterns and copy number variations assessed by methylation arrays in a biomarker subset (n= 104) and an independent cohort (n= 380) have been used to assess the interaction between MGMT status and methylation subgroups. Results: In the long-term update of NOA-08 patients with MGMT methylated tumors had longer OS and EFS when treated with TMZ (18.4 [13.9-24.4] months and 8.5 [6.9-13.3] months) versus RT (9.6 [6.4-13.7] months and 4.8 [4.3-6.2] months, HR 0.44 [0.27-0.70], p < 0.001 for OS and 0.46 [0.29-0.73], p = 0.001 for EFS). These data compared favorably with recently published data from patients treated with chemoradiation (Perry et al. NEJM 2017). Importantly, only patients with glioblastomas of the methylation class receptor tyrosine kinase II (RTKII) and mesenchymal but not RTK I demonstrated the predictive impact of MGMT in the NOA and the independent validation cohort. Conclusions:MGMT promoter methylation as a strong but methylation subclass-dependent predictive biomarker for the use of alkylating chemotherapy in malignant gliomas. The data call for embedding of MGMT tests into global methylation analyses for all patients with malignant gliomas potentially treated with alkylating chemotherapy.

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Abstract Details

Meeting

2019 ASCO Annual Meeting

Session Type

Poster Discussion Session

Session Title

Central Nervous System Tumors

Track

Central Nervous System Tumors

Sub Track

Central Nervous System Tumors

Citation

J Clin Oncol 37, 2019 (suppl; abstr 2013)

DOI

10.1200/JCO.2019.37.15_suppl.2013

Abstract #

2013

Poster Bd #

202

Abstract Disclosures