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 inPloS one Vol. 7; no. 3; p. e33449
Main Authors Christians, Arne, Hartmann, Christian, Benner, Axel, Meyer, Jochen, von Deimling, Andreas, Weller, Michael, Wick, Wolfgang, Weiler, Markus
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 13.03.2012
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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.
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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ContentType Journal Article
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
Copyright_xml – notice: COPYRIGHT 2012 Public Library of Science
– notice: 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.
– notice: Christians et al. 2012
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DocumentTitleAlternate Prognostic Value of 3 Different MGMT Test-Methods
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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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StartPage e33449
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
URI https://www.ncbi.nlm.nih.gov/pubmed/22428052
https://www.proquest.com/docview/1323997071
https://search.proquest.com/docview/1008829468
https://pubmed.ncbi.nlm.nih.gov/PMC3302822
https://doaj.org/article/16d1cb890e4d49e987f29faea15d5e67
http://dx.doi.org/10.1371/journal.pone.0033449
Volume 7
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