ArticleClinical epigenetics2019
The central nervous system tumor methylation classifier changes neuro-oncology practice for challenging brain tumor diagnoses and directly impacts patient care.
Article in Clinical epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.
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Who cites it
61 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Papillary Tumor of the Pineal Region Identified by DNA Methylation Leads to the Incidental Finding of Germline MutationCurrent oncology (Toronto, Ont.) · 2025Pooled it
- DNA Methylation-Based Classification for Central Nervous System Tumours: A Health Technology Assessment.Ontario health technology assessment series · 2025Pooled it
- Diagnostic accuracy of 1p/19q codeletion tests in oligodendroglioma: A comprehensive meta-analysis based on a Cochrane systematic review.Neuropathology and applied neurobiology · 2022Pooled it
- Methylation profiling in CNS tumor diagnostics: a single-centre real-world experience from Central Europe.Virchows Archiv : an international journal of pathology · 2026Article
- Impact of Tissue Sampling Strategy on the Diagnostic Accuracy of DNA Methylation Profiling in Central Nervous System Tumors.Pathology international · 2026Article
- Hetairos is a histology-based artificial intelligence model for predicting central nervous system tumor methylation subtypes.Nature cancer · 2026Article
- Clinical utility of sarcoma methylation classifiers in soft tissue sarcoma diagnosis.Journal of cancer research and clinical oncology · 2026Article
- From Data to Decision: Integrating Bioinformatics into Glioma Patient Stratification and Immunotherapy Selection.International journal of molecular sciences · 2026Review
- A MAGIBU-based model for pediatric and juvenile CNS tumors: an in-house epigenetic decision-support framework compared with online DNA methylation classifiers.Free neuropathology · 2026Article
- DNA Methylation in Ovarian and Endometrial Cancers: Predictive and Mechanistic Roles in PARP Inhibitor and ICI Response.Cancer science · 2025Review
- The Spectrum of IDH- and H3-Wildtype High-Grade Glioma Subgroups Occurring across Teenage and Young Adult Patient Populations.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Article
- DNA methylation remodeling in temozolomide resistant recurrent glioblastoma: comparing epigenetic dynamics in vitro and in vivo.Journal of translational medicine · 2025Article
- SNUH methylation classifier for CNS tumors.Clinical epigenetics · 2025Article
- Explainable artificial intelligence of DNA methylation-based brain tumor diagnostics.Nature communications · 2025Article
- Diagnostic impact of DNA methylation classification in adult and pediatric CNS tumors.Scientific reports · 2025Article
- Prediction of brain metastasis development with DNA methylation signatures.Nature medicine · 2025Article
- Unravelling the mosaic: Epigenetic diversity in glioblastoma.Molecular oncology · 2024Review
- HOXD12 defines an age-related aggressive subtype of oligodendroglioma.Acta neuropathologica · 2024Article
- DistSNE: Distributed computing and online visualization of DNA methylation-based central nervous system tumor classification.Brain pathology (Zurich, Switzerland) · 2024Article
- EpiDiP/NanoDiP: a versatile unsupervised machine learning edge computing platform for epigenomic tumour diagnostics.Acta neuropathologica communications · 2024Article
1 more citing papers are in PubMed but not listed here.
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10 authors.
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Abstract
backgroundMolecular signatures are being increasingly incorporated into cancer classification systems. DNA methylation-based central nervous system (CNS) tumor classification is being recognized as having the potential to aid in cases of difficult histopathological diagnoses. Here, we present our institutional clinical experience in integrating a DNA-methylation-based classifier into clinical practice and report its impact on CNS tumor patient diagnosis and treatment.
methodsProspective case review was undertaken at CNS tumor board discussions over a 3-year period and 55 tumors with a diagnosis that was not certain to two senior neuropathologists were recommended for methylation profiling based on diagnostic needs. Tumor classification, calibrated scores, and copy number variant (CNV) plots were obtained for all 55 cases. These results were integrated with histopathological findings to reach a final diagnosis. We retrospectively reviewed each patient's clinical course to determine final neuro-pathology diagnoses and the impact of methylation profiling on their clinical management, with a focus on changes that were made to treatment decisions.
resultsFollowing methylation profiling, 46 of the 55 (84%) challenging cases received a clinically relevant diagnostic alteration, with two-thirds having a change in the histopathological diagnosis and the other one-third obtaining clinically important molecular diagnostic or subtyping alterations. WHO grading changed by 27% with two-thirds receiving a higher grade. Patient care was directly changed in 15% of all cases with major changes in clinical decision-making being made for these patients to avoid unnecessary or insufficient treatment.
conclusionsThe integration of methylation-based CNS tumor classification into diagnostics has a substantial clinical benefit for patients with challenging CNS tumors while also avoiding unnecessary health care costs. The clinical impact shown here may prompt the expanded use of DNA methylation profiling for CNS tumor diagnostics within prominent neuro-oncology centers globally.
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