Title |
Prognostic value of O‐6‐methylguanine–DNA methyltransferase (MGMT) protein expression in glioblastoma excluding nontumour cells from the analysis
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Published in |
Neuropathology & Applied Neurobiology, June 2017
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DOI | 10.1111/nan.12415 |
Pubmed ID | |
Authors |
R. H. Dahlrot, J. Dowsett, S. Fosmark, A. Malmström, R. Henriksson, H. Boldt, K. de Stricker, M. D. Sørensen, H. S. Poulsen, M. Lysiak, P. Söderkvist, J. Rosell, S. Hansen, B. W. Kristensen |
Abstract |
It is important to predict response to treatment with temozolomide (TMZ) in glioblastoma (GBM) patients. Both MGMT protein expression and MGMT promoter methylation have been reported to predict the response to TMZ. We investigated the prognostic value of quantified MGMT protein levels in tumour cells and the prognostic importance of combining information of MGMT protein level and MGMT promoter methylations status. MGMT protein expression was quantified in tumour cells in 171 GBMs from the population-based Region of Southern Denmark (RSD)-cohort using a double immunofluorescence approach. Pyrosequencing was performed in 157 patients. For validation we used GBM-patients from a Nordic Study (NS) investigating the effect of radiotherapy and different TMZ schedules. When divided at the median, patients with low expression of MGMT protein (AF-low) had the best prognosis (HR 1.5, P = 0.01). Similar results were observed in the subgroup of patients receiving the Stupp regimen (HR 2.0, P = 0.001). In the NS-cohort a trend towards superior survival (HR 1.6, P = 0.08) was seen in patients with AF-low. Including MGMT promoter methylation status, we found for both cohorts that patients with methylated MGMT promoter and AF-low had the best outcome; median OS 23.1 and 20.0 months, respectively. Our data indicate that MGMT protein expression in tumour cells has an independent prognostic significance. Exclusion of non-tumour cells contributed to a more exact analysis of tumour-specific MGMT protein expression. This should be incorporated in future studies evaluating MGMT status before potential integration into clinical practice. This article is protected by copyright. All rights reserved. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 50% |
Scientists | 1 | 17% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
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Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 5 | 18% |
Student > Bachelor | 5 | 18% |
Other | 2 | 7% |
Researcher | 2 | 7% |
Student > Postgraduate | 2 | 7% |
Other | 4 | 14% |
Unknown | 8 | 29% |
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Medicine and Dentistry | 10 | 36% |
Biochemistry, Genetics and Molecular Biology | 3 | 11% |
Neuroscience | 2 | 7% |
Computer Science | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Other | 0 | 0% |
Unknown | 11 | 39% |