ArticleActa neuropathologica communications2019
Predictive MGMT status in a homogeneous cohort of IDH wildtype glioblastoma patients.
Article in Acta neuropathologica communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 44 papers, 4 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
44 citing papers in PubMed, 4 syntheses or guidelines pooled it, 96 citations in OpenAlex.
- Cerebellar glioblastoma in adults: a comparative single-center matched pair analysis and systematic review of the literature.Journal of cancer research and clinical oncology · 2024Pooled it
- COVPRIG robustly predicts the overall survival of IDH wild-type glioblastoma and highlights METTL1Journal of translational medicine · 2023Pooled it
- Congress of neurological surgeons systematic review and evidence-based guidelines update on the role of neuropathology in the management of progressive glioblastoma in adults.Journal of neuro-oncology · 2022Pooled it
- Laser Interstitial Thermal Therapy for Recurrent Glioblastoma: Pooled Analyses of Available Literature.World neurosurgery · 2021Pooled it
- Combined Lanreotide Autogel and Temozolomide Treatment of Progressive Pancreatic and Intestinal Neuroendocrine Tumors: The Phase II SONNET Study.The oncologist · 2024Trial
- Prognostic relationship of peripheral blood-immune inflammatory index (C-PLAN) in patients with high-grade glioma.BMC cancer · 2025Article
- Multi-Layered Analysis of TGF-β Signaling and Regulation via DNA Methylation and microRNAs in Astrocytic Tumors.International journal of molecular sciences · 2025Article
- Analysis of the Expression Patterns of Tumor Necrosis Factor Alpha Signaling Pathways and Regulatory MicroRNAs in Astrocytic Tumors.International journal of molecular sciences · 2025Article
- Advances in Glioblastoma Diagnosis: Integrating Genetics, Noninvasive Sampling, and Advanced Imaging.Cancers · 2025Review
- Prognostic and predictive determinants in high-grade gliomas: integrating tumor-intrinsic biology with patient and system-level factors.Frontiers in neurology · 2025Review
- Profiles of survival prediction in glioblastoma.Brain & spine · 2025Article
- Multi-omics profiling of TGF-β isoforms and regulatory miRNAs in astrocytic tumors reveals TGF-β-3 as a prognostic biomarker.Frontiers in oncology · 2025Article
- Temozolomide use in elderly patients with MGMT promoter unmethylated glioblastoma: Is it finally time to dismount a dead horse?Neuro-oncology · 2024Article
- Unveiling hierarchy and spatial distribution of OCancer science · 2024Article
- Variances in the Expression Profile of Circadian Clock-Related Genes in Astrocytic Brain Tumors.Cancers · 2024Article
- Principles in the Management of Glioblastoma.Genes · 2024Review
- Genome-wide DNA methylation analysis identifies potent CpG signature for temzolomide response in non-G-CIMP glioblastomas with unmethylated MGMT promoter: MGMT-dependent roles of GPR81.CNS neuroscience & therapeutics · 2024Article
- Liquid biopsy: creating opportunities in brain space.British journal of cancer · 2023Review
- MGMT methylation pattern of long-term and short-term survivors of glioblastoma reveals CpGs of the enhancer region to be of high prognostic value.Acta neuropathologica communications · 2023Article
- The predictive value of partialNeuro-oncology practice · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Methylation of the O(6)-Methylguanine-DNA methyltransferase (MGMT) promoter is predictive for treatment response in glioblastoma patients. However, precise predictive cutoff values to distinguish "MGMT methylated" from "MGMT unmethylated" patients remain highly debated in terms of pyrosequencing (PSQ) analysis. We retrospectively analyzed a clinically and molecularly very well-characterized cohort of 111 IDH wildtype glioblastoma patients, who underwent gross total tumor resection and received standard Stupp treatment. Detailed clinical parameters were obtained. Predictive cutoff values for MGMT promoter methylation were determined using ROC curve analysis and survival curve comparison using Log-rank (Mantel-Cox) test. MGMT status was analyzed using pyrosequencing (PSQ), semi-quantitative methylation specific PCR (sqMSP) and direct bisulfite sequencing (dBiSeq). Highly methylated (> 20%) MGMT correlated with significantly improved progression-free survival (PFS) and overall survival (OS) in our cohort. Median PFS was 7.2 months in the unmethylated group (UM, < 10% mean methylation), 10.4 months in the low methylated group (LM, 10-20% mean methylation) and 19.83 months in the highly methylated group (HM, > 20% mean methylation). Median OS was 13.4 months for UM, 17.9 months for LM and 29.93 months for HM. Within the LM group, correlation of PSQ and sqMSP or dBiSeq was only conclusive in 51.5% of our cases. ROC curve analysis revealed superior test precision for survival if additional sqMSP results were considered (AUC = 0.76) compared to PSQ (cutoff 10%) alone (AUC = 0.67). We therefore challenge the widely used, strict PSQ cutoff at 10% which might not fully reflect the clinical response to alkylating agents and suggest applying a second method for MGMT testing (e.g. MSP) to confirm PSQ results for patients with LM MGMT levels if therapeutically relevant.
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