Prognostic value of three different methods of MGMT promoter methylation analysis in a prospective trial on newly diagnosed glioblastoma
Hypermethylation in the promoter region of the MGMT gene encoding the DNA repair protein O(6)-methylguanine-DNA methyltransferase is among the most important prognostic factors for patients with glioblastoma and predicts response to treatment with alkylating agents like temozolomide. Hence, the MGMT...
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Published in | PloS one Vol. 7; no. 3; p. e33449 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Public Library of Science
13.03.2012
Public Library of Science (PLoS) |
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Abstract | Hypermethylation in the promoter region of the MGMT gene encoding the DNA repair protein O(6)-methylguanine-DNA methyltransferase is among the most important prognostic factors for patients with glioblastoma and predicts response to treatment with alkylating agents like temozolomide. Hence, the MGMT status is widely determined in most clinical trials and frequently requested in routine diagnostics of glioblastoma. Since various different techniques are available for MGMT promoter methylation analysis, a generally accepted consensus as to the most suitable diagnostic method remains an unmet need. Here, we assessed methylation-specific polymerase chain reaction (MSP) as a qualitative and semi-quantitative method, pyrosequencing (PSQ) as a quantitative method, and methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA) as a semi-quantitative method in a series of 35 formalin-fixed, paraffin-embedded glioblastoma tissues derived from patients treated in a prospective clinical phase II trial that tested up-front chemoradiotherapy with dose-intensified temozolomide (UKT-05). Our goal was to determine which of these three diagnostic methods provides the most accurate prediction of progression-free survival (PFS). The MGMT promoter methylation status was assessable by each method in almost all cases (n = 33/35 for MSP; n = 35/35 for PSQ; n = 34/35 for MS-MLPA). We were able to calculate significant cut-points for the continuous methylation signals at each CpG site analysed by PSQ (range, 11.5 to 44.9%) and at one CpG site assessed by MS-MLPA (3.6%) indicating that a dichotomisation of continuous methylation data as a prerequisite for comparative survival analyses is feasible. Our results show that, unlike MS-MLPA, MSP and PSQ provide a significant improvement of predicting PFS compared with established clinical prognostic factors alone (likelihood ratio tests: p<0.001). Conclusively, taking into consideration prognostic value, cost effectiveness and ease of use, we recommend pyrosequencing for analyses of MGMT promoter methylation in high-throughput settings and MSP for clinical routine diagnostics with low sample numbers. |
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AbstractList | Hypermethylation in the promoter region of the MGMT gene encoding the DNA repair protein O.sup.6 -methylguanine-DNA methyltransferase is among the most important prognostic factors for patients with glioblastoma and predicts response to treatment with alkylating agents like temozolomide. Hence, the MGMT status is widely determined in most clinical trials and frequently requested in routine diagnostics of glioblastoma. Since various different techniques are available for MGMT promoter methylation analysis, a generally accepted consensus as to the most suitable diagnostic method remains an unmet need. Here, we assessed methylation-specific polymerase chain reaction (MSP) as a qualitative and semi-quantitative method, pyrosequencing (PSQ) as a quantitative method, and methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA) as a semi-quantitative method in a series of 35 formalin-fixed, paraffin-embedded glioblastoma tissues derived from patients treated in a prospective clinical phase II trial that tested up-front chemoradiotherapy with dose-intensified temozolomide (UKT-05). Our goal was to determine which of these three diagnostic methods provides the most accurate prediction of progression-free survival (PFS). The MGMT promoter methylation status was assessable by each method in almost all cases (n = 33/35 for MSP; n = 35/35 for PSQ; n = 34/35 for MS-MLPA). We were able to calculate significant cut-points for the continuous methylation signals at each CpG site analysed by PSQ (range, 11.5 to 44.9%) and at one CpG site assessed by MS-MLPA (3.6%) indicating that a dichotomisation of continuous methylation data as a prerequisite for comparative survival analyses is feasible. Our results show that, unlike MS-MLPA, MSP and PSQ provide a significant improvement of predicting PFS compared with established clinical prognostic factors alone (likelihood ratio tests: p<0.001). Conclusively, taking into consideration prognostic value, cost effectiveness and ease of use, we recommend pyrosequencing for analyses of MGMT promoter methylation in high-throughput settings and MSP for clinical routine diagnostics with low sample numbers. Hypermethylation in the promoter region of the MGMT gene encoding the DNA repair protein O6-methylguanine-DNA methyltransferase is among the most important prognostic factors for patients with glioblastoma and predicts response to treatment with alkylating agents like temozolomide. Hence, the MGMT status is widely determined in most clinical trials and frequently requested in routine diagnostics of glioblastoma. Since various different techniques are available for MGMT promoter methylation analysis, a generally accepted consensus as to the most suitable diagnostic method remains an unmet need. Here, we assessed methylation-specific polymerase chain reaction (MSP) as a qualitative and semi-quantitative method, pyrosequencing (PSQ) as a quantitative method, and methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA) as a semi-quantitative method in a series of 35 formalin-fixed, paraffin-embedded glioblastoma tissues derived from patients treated in a prospective clinical phase II trial that tested up-front chemoradiotherapy with dose-intensified temozolomide (UKT-05). Our goal was to determine which of these three diagnostic methods provides the most accurate prediction of progression-free survival (PFS). The MGMT promoter methylation status was assessable by each method in almost all cases (n = 33/35 for MSP; n = 35/35 for PSQ; n = 34/35 for MS-MLPA). We were able to calculate significant cut-points for the continuous methylation signals at each CpG site analysed by PSQ (range, 11.5 to 44.9%) and at one CpG site assessed by MS-MLPA (3.6%) indicating that a dichotomisation of continuous methylation data as a prerequisite for comparative survival analyses is feasible. Our results show that, unlike MS-MLPA, MSP and PSQ provide a significant improvement of predicting PFS compared with established clinical prognostic factors alone (likelihood ratio tests: p<0.001). Conclusively, taking into consideration prognostic value, cost effectiveness and ease of use, we recommend pyrosequencing for analyses of MGMT promoter methylation in high-throughput settings and MSP for clinical routine diagnostics with low sample numbers. Hypermethylation in the promoter region of the MGMT gene encoding the DNA repair protein O(6)-methylguanine-DNA methyltransferase is among the most important prognostic factors for patients with glioblastoma and predicts response to treatment with alkylating agents like temozolomide. Hence, the MGMT status is widely determined in most clinical trials and frequently requested in routine diagnostics of glioblastoma. Since various different techniques are available for MGMT promoter methylation analysis, a generally accepted consensus as to the most suitable diagnostic method remains an unmet need. Here, we assessed methylation-specific polymerase chain reaction (MSP) as a qualitative and semi-quantitative method, pyrosequencing (PSQ) as a quantitative method, and methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA) as a semi-quantitative method in a series of 35 formalin-fixed, paraffin-embedded glioblastoma tissues derived from patients treated in a prospective clinical phase II trial that tested up-front chemoradiotherapy with dose-intensified temozolomide (UKT-05). Our goal was to determine which of these three diagnostic methods provides the most accurate prediction of progression-free survival (PFS). The MGMT promoter methylation status was assessable by each method in almost all cases (n = 33/35 for MSP; n = 35/35 for PSQ; n = 34/35 for MS-MLPA). We were able to calculate significant cut-points for the continuous methylation signals at each CpG site analysed by PSQ (range, 11.5 to 44.9%) and at one CpG site assessed by MS-MLPA (3.6%) indicating that a dichotomisation of continuous methylation data as a prerequisite for comparative survival analyses is feasible. Our results show that, unlike MS-MLPA, MSP and PSQ provide a significant improvement of predicting PFS compared with established clinical prognostic factors alone (likelihood ratio tests: p<0.001). Conclusively, taking into consideration prognostic value, cost effectiveness and ease of use, we recommend pyrosequencing for analyses of MGMT promoter methylation in high-throughput settings and MSP for clinical routine diagnostics with low sample numbers. Hypermethylation in the promoter region of the MGMT gene encoding the DNA repair protein O 6 -methylguanine-DNA methyltransferase is among the most important prognostic factors for patients with glioblastoma and predicts response to treatment with alkylating agents like temozolomide. Hence, the MGMT status is widely determined in most clinical trials and frequently requested in routine diagnostics of glioblastoma. Since various different techniques are available for MGMT promoter methylation analysis, a generally accepted consensus as to the most suitable diagnostic method remains an unmet need. Here, we assessed methylation-specific polymerase chain reaction (MSP) as a qualitative and semi-quantitative method, pyrosequencing (PSQ) as a quantitative method, and methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA) as a semi-quantitative method in a series of 35 formalin-fixed, paraffin-embedded glioblastoma tissues derived from patients treated in a prospective clinical phase II trial that tested up-front chemoradiotherapy with dose-intensified temozolomide (UKT-05). Our goal was to determine which of these three diagnostic methods provides the most accurate prediction of progression-free survival (PFS). The MGMT promoter methylation status was assessable by each method in almost all cases ( n = 33/35 for MSP; n = 35/35 for PSQ; n = 34/35 for MS-MLPA). We were able to calculate significant cut-points for the continuous methylation signals at each CpG site analysed by PSQ (range, 11.5 to 44.9%) and at one CpG site assessed by MS-MLPA (3.6%) indicating that a dichotomisation of continuous methylation data as a prerequisite for comparative survival analyses is feasible. Our results show that, unlike MS-MLPA, MSP and PSQ provide a significant improvement of predicting PFS compared with established clinical prognostic factors alone (likelihood ratio tests: p <0.001). Conclusively, taking into consideration prognostic value, cost effectiveness and ease of use, we recommend pyrosequencing for analyses of MGMT promoter methylation in high-throughput settings and MSP for clinical routine diagnostics with low sample numbers. |
Audience | Academic |
Author | Benner, Axel Meyer, Jochen Hartmann, Christian Christians, Arne von Deimling, Andreas Wick, Wolfgang Weiler, Markus Weller, Michael |
AuthorAffiliation | 1 Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), Heidelberg, Germany University of Navarra, Spain 4 Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany 6 Department of Neurology, University Hospital Zurich, Zurich, Switzerland 7 Department of General Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany 2 Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany 3 Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany 5 Department of Neurooncology at the National Center for Tumour Diseases, Heidelberg University Hospital, Heidelberg, Germany 8 Department of Neuropathology, Institute of Pathology, Hannover Medical School (MHH), Hannover, Germany |
AuthorAffiliation_xml | – name: 8 Department of Neuropathology, Institute of Pathology, Hannover Medical School (MHH), Hannover, Germany – name: 3 Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany – name: 6 Department of Neurology, University Hospital Zurich, Zurich, Switzerland – name: 7 Department of General Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany – name: University of Navarra, Spain – name: 4 Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany – name: 5 Department of Neurooncology at the National Center for Tumour Diseases, Heidelberg University Hospital, Heidelberg, Germany – name: 2 Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany – name: 1 Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), Heidelberg, Germany |
Author_xml | – sequence: 1 givenname: Arne surname: Christians fullname: Christians, Arne organization: Clinical Cooperation Unit Neuropathology, German Cancer Research Center, DKFZ, Heidelberg, Germany – sequence: 2 givenname: Christian surname: Hartmann fullname: Hartmann, Christian – sequence: 3 givenname: Axel surname: Benner fullname: Benner, Axel – sequence: 4 givenname: Jochen surname: Meyer fullname: Meyer, Jochen – sequence: 5 givenname: Andreas surname: von Deimling fullname: von Deimling, Andreas – sequence: 6 givenname: Michael surname: Weller fullname: Weller, Michael – sequence: 7 givenname: Wolfgang surname: Wick fullname: Wick, Wolfgang – sequence: 8 givenname: Markus surname: Weiler fullname: Weiler, Markus |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/22428052$$D View this record in MEDLINE/PubMed |
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Copyright | COPYRIGHT 2012 Public Library of Science 2012 Christians et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Christians et al. 2012 |
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DocumentTitleAlternate | Prognostic Value of 3 Different MGMT Test-Methods |
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Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 Conceived and designed the experiments: AC CH AvD M. Weiler. Performed the experiments: AC JM. Analyzed the data: AC CH AB M. Weiler. Contributed reagents/materials/analysis tools: AVD M. Weiler WW. Wrote the paper: AC CH AB AvD M. Weller WW M. Weiler. |
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Snippet | Hypermethylation in the promoter region of the MGMT gene encoding the DNA repair protein O(6)-methylguanine-DNA methyltransferase is among the most important... Hypermethylation in the promoter region of the MGMT gene encoding the DNA repair protein O.sup.6 -methylguanine-DNA methyltransferase is among the most... Hypermethylation in the promoter region of the MGMT gene encoding the DNA repair protein O6-methylguanine-DNA methyltransferase is among the most important... Hypermethylation in the promoter region of the MGMT gene encoding the DNA repair protein O 6 -methylguanine-DNA methyltransferase is among the most important... |
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SubjectTerms | Alkylating agents Alkylation Brain cancer Brain research Cancer Care and treatment Chemoradiotherapy Clinical trials Cooperation Cost analysis Cost effectiveness CpG islands Dacarbazine - analogs & derivatives Deoxyribonucleic acid Diagnostic systems Disease-Free Survival DNA DNA methylation DNA Methylation - genetics DNA methyltransferase DNA Modification Methylases - genetics DNA Modification Methylases - metabolism DNA Primers - genetics DNA repair DNA Repair Enzymes - genetics DNA Repair Enzymes - metabolism Feasibility studies Gene expression Genes Genomics Glioblastoma Glioblastoma - diagnosis Glioblastoma - drug therapy Glioblastoma - genetics Glioblastomas Humans Kaplan-Meier Estimate Likelihood Functions Likelihood ratio Medical diagnosis Medical research Medicine Methods Methylation Methylguanine Molecular Probe Techniques Multiplexing Neurology Neuropathology Nucleic Acid Amplification Techniques - methods O6-methylguanine-DNA methyltransferase Paraffin Patients Polymerase chain reaction Polymerase Chain Reaction - methods Predictions Prognosis Promoter Regions, Genetic - genetics Prospective Studies Sequence Analysis, DNA - methods Studies Survival Survival analysis Temozolomide Tissues Tumor Suppressor Proteins - genetics Tumor Suppressor Proteins - metabolism Tumors |
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Title | Prognostic value of three different methods of MGMT promoter methylation analysis in a prospective trial on newly diagnosed glioblastoma |
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