Dataset Information

Correlation of commercially available quantitative MGMT (O-6-methylguanine-DNA methyltransferase) promoter methylation scores and GBM patient survival.

ABSTRACT: Background:Between 2011 and 2016, O-6-methylguanine-DNA methyltransferase (MGMT) promoter methylation testing at University of California Los Angeles (UCLA) was performed through LabCorp, using a threshold of 2 to distinguish MGMT methylated from unmethylated tumors. In this study, we sought to determine whether the magnitude of the methylation score correlated with outcome. Methods:We identified 165 newly diagnosed glioblastoma (GBM) isocitrate dehydrogenase (IDH) wild-type and temozolomide-treated upfront patients at UCLA and Kaiser Permanente Los Angeles with LabCorp-derived quantitative MGMT scores obtained on pretreatment tissue samples. Using LabCorp's threshold, we found 102 unmethylated and 63 methylated patients. We then further substratified each group based on the magnitude of the score, and performed Kaplan-Meier and Cox regression analyses of overall survival (OS) and progression-free survival (PFS). Results:We validated that the standard LabCorp threshold of 2 could separate our cohort by survival, showing longer OS and PFS for MGMT methylated patients vs unmethylated patients. Cox regression analysis confirmed that MGMT (<1) patients had worse outcome, with OS and PFS hazard ratios of 2.375 (P = .053) and 2.463 (P = .023), respectively, when compared to the MGMT (1-1.99) patients. Contrary to our expectation, when we substratified the ?2 (methylated) group, we did not find a dose-dependent relationship between the magnitude of MGMT methylation and improved survival. Conclusions:The MGMT unmethylated group contains a partially methylated group (greater than 1) that shares survival benefits similar to the methylated group. However, we did not demonstrate an association of very high methylation scores with increased survival. These findings will require validation in additional independent clinical data sets.

SUBMITTER: Dovek L

PROVIDER: S-EPMC6656311 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Correlation of commercially available quantitative <i>MGMT</i> (O-6-methylguanine-DNA methyltransferase) promoter methylation scores and GBM patient survival.

Dovek Laura L Nguyen Nhung T NT Ozer Byram H BH Li Ning N Elashoff Robert M RM Green Richard M RM Liau Linda L Nghiemphu P Leia PL Cloughesy Timothy F TF Lai Albert A

Neuro-oncology practice 20180808 3

<h4>Background</h4>Between 2011 and 2016, O-6-methylguanine-DNA methyltransferase (<i>MGMT</i>) promoter methylation testing at University of California Los Angeles (UCLA) was performed through LabCorp, using a threshold of 2 to distinguish <i>MGMT</i> methylated from unmethylated tumors. In this study, we sought to determine whether the magnitude of the methylation score correlated with outcome.<h4>Methods</h4>We identified 165 newly diagnosed glioblastoma (GBM) isocitrate dehydrogenase (<i>IDH ...[more]

PMID: 31386024

Similar Datasets

Project description:BackgroundGlioblastoma is an aggressive form of brain cancer. Approximately five in 100 people with glioblastoma survive for five years past diagnosis. Glioblastomas that have a particular modification to their DNA (called methylation) in a particular region (the O6-methylguanine-DNA methyltransferase (MGMT) promoter) respond better to treatment with chemotherapy using a drug called temozolomide.ObjectivesTo determine which method for assessing MGMT methylation status best predicts overall survival in people diagnosed with glioblastoma who are treated with temozolomide.Search methodsWe searched MEDLINE, Embase, BIOSIS, Web of Science Conference Proceedings Citation Index to December 2018, and examined reference lists. For economic evaluation studies, we additionally searched NHS Economic Evaluation Database (EED) up to December 2014.Selection criteriaEligible studies were longitudinal (cohort) studies of adults with diagnosed glioblastoma treated with temozolomide with/without radiotherapy/surgery. Studies had to have related MGMT status in tumour tissue (assessed by one or more method) with overall survival and presented results as hazard ratios or with sufficient information (e.g. Kaplan-Meier curves) for us to estimate hazard ratios. We focused mainly on studies comparing two or more methods, and listed brief details of articles that examined a single method of measuring MGMT promoter methylation. We also sought economic evaluations conducted alongside trials, modelling studies and cost analysis.Data collection and analysisTwo review authors independently undertook all steps of the identification and data extraction process for multiple-method studies. We assessed risk of bias and applicability using our own modified and extended version of the QUality In Prognosis Studies (QUIPS) tool. We compared different techniques, exact promoter regions (5'-cytosine-phosphate-guanine-3' (CpG) sites) and thresholds for interpretation within studies by examining hazard ratios. We performed meta-analyses for comparisons of the three most commonly examined methods (immunohistochemistry (IHC), methylation-specific polymerase chain reaction (MSP) and pyrosequencing (PSQ)), with ratios of hazard ratios (RHR), using an imputed value of the correlation between results based on the same individuals.Main resultsWe included 32 independent cohorts involving 3474 people that compared two or more methods. We found evidence that MSP (CpG sites 76 to 80 and 84 to 87) is more prognostic than IHC for MGMT protein at varying thresholds (RHR 1.31, 95% confidence interval (CI) 1.01 to 1.71). We also found evidence that PSQ is more prognostic than IHC for MGMT protein at various thresholds (RHR 1.36, 95% CI 1.01 to 1.84). The data suggest that PSQ (mainly at CpG sites 74 to 78, using various thresholds) is slightly more prognostic than MSP at sites 76 to 80 and 84 to 87 (RHR 1.14, 95% CI 0.87 to 1.48). Many variants of PSQ have been compared, although we did not see any strong and consistent messages from the results. Targeting multiple CpG sites is likely to be more prognostic than targeting just one. In addition, we identified and summarised 190 articles describing a single method for measuring MGMT promoter methylation status.Authors' conclusionsPSQ and MSP appear more prognostic for overall survival than IHC. Strong evidence is not available to draw conclusions with confidence about the best CpG sites or thresholds for quantitative methods. MSP has been studied mainly for CpG sites 76 to 80 and 84 to 87 and PSQ at CpG sites ranging from 72 to 95. A threshold of 9% for CpG sites 74 to 78 performed better than higher thresholds of 28% or 29% in two of three good-quality studies making such comparisons.

Project description:BackgroundEpigenetic inactivation of O6-methylguanine DNA-methyltransferase (MGMT) is associated with increased sensitivity to alkylating chemotherapeutic agents in glioblastoma patients. The genetic background underlying MGMT gene methylation may explain individual differences in treatment response and provide a clue to a personalized treatment strategy. Making use of the longitudinal twin design, we aimed, for the first time, to estimate the genetic contributions to MGMT methylation in a Danish twin cohort.MethodsDNA-methylation from whole blood (18 monozygotic (MZ) and 25 dizygotic (DZ) twin pairs) repeated 10 years apart from the Longitudinal Study of Aging Danish Twins (LSADT) were used to search for genetic and environmental contributions to DNA-methylation at 170 CpG sites of across the MGMT gene. Both univariate and bivariate twin models were applied. The intraclass correlations, performed on cross-sectional data (246 MZ twin pairs) from an independent study population, the Middle-Aged Danish Twins (MADT), were used to assess the genetic influence at each CpG site of MGMT for replication.ResultsUnivariate twin model revealed twelve CpG sites showing significantly high heritability at intake (wave 1, h2?>?0.43), and seven CpG sites with significant heritability estimates at end of follow-up (wave 2, h2?>?0.5). There were six significant CpG sites, located at the gene body region, that overlapped among the two waves (h2?>?0.5), of which five remained significant in the bivariate twin model, which was applied to both waves. Within MZ pair correlation in these six CpGs from MADT demarks top level of genetic influence. There were 11 CpGs constantly have substantial common environmental component over the 10 years.ConclusionsWe have identified 6 CpG sites linked to the MGMT gene with strong and persistent genetic control based on their DNA methylation levels. The genetic basis of MGMT gene methylation could help to explain individual differences in glioblastoma treatment response and most importantly, provide references for mapping the methylation Quantitative Trait Loci (meQTL) underlying the genetic regulation.

Dataset Information

Correlation of commercially available quantitative MGMT (O-6-methylguanine-DNA methyltransferase) promoter methylation scores and GBM patient survival.

Publications

Correlation of commercially available quantitative <i>MGMT</i> (O-6-methylguanine-DNA methyltransferase) promoter methylation scores and GBM patient survival.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets