ArticleActa neuropathologica communications2022
DNA methylation alterations across time and space in paediatric brain tumours.
Article in Acta neuropathologica communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- DNA Methylation-Based Classification for Central Nervous System Tumours: A Health Technology Assessment.Ontario health technology assessment series · 2025Pooled it
- Epigenetic Markers of Cell Division and Ageing in Relation to Breast Cancer Survival.International journal of cancer · 2026Article
- Impact of Tissue Sampling Strategy on the Diagnostic Accuracy of DNA Methylation Profiling in Central Nervous System Tumors.Pathology international · 2026Article
- Comprehensive characterization and targeted treatment of a pediatric epithelioid glioblastoma with a rare TRIM24-NTRK2 fusion.NPJ precision oncology · 2025Article
- The molecular history of IDH-mutant astrocytomas without adjuvant treatment.Brain pathology (Zurich, Switzerland) · 2025Article
- NAB2::STAT6 fusions and genome-wide DNA methylation profiling: Predictors of patient outcomes in meningeal solitary fibrous tumors.Brain pathology (Zurich, Switzerland) · 2024Article
- Clinically relevant molecular hallmarks of PFA ependymomas display intratumoral heterogeneity and correlate with tumor morphology.Acta neuropathologica · 2024Article
- Utility of genome-wide DNA methylation profiling for pediatric-type diffuse gliomas.Brain tumor pathology · 2023Review
- Longitudinal DNA methylation analysis of adult-type IDH-mutant gliomas.Acta neuropathologica communications · 2023Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA methylation is increasingly used for tumour classification and has expanded upon the > 100 currently known brain tumour entities. A correct diagnosis is the basis for suitable treatment for patients with brain tumours, which is the leading cause of cancer-related death in children. DNA methylation profiling is required for diagnosis of certain tumours, and used clinically for paediatric brain tumours in several countries. We therefore evaluated if the methylation-based classification is robust in different locations of the same tumour, and determined how the methylation pattern changed over time to relapse. We sampled 3-7 spatially separated biopsies per patient, and collected samples from paired primary and relapse brain tumours from children. Altogether, 121 samples from 46 paediatric patients with brain tumours were profiled with EPIC methylation arrays. The methylation-based classification was mainly homogeneous for all included tumour types that were successfully classified, which is promising for clinical diagnostics. There were indications of multiple subclasses within tumours and switches in the relapse setting, but not confirmed as the classification scores were below the threshold. Site-specific methylation alterations did occur within the tumours and varied significantly between tumour types for the temporal samples, and as a trend in spatial samples. More alterations were present in high-grade tumours compared to low-grade, and significantly more alterations with longer relapse times. The alterations in the spatial and temporal samples were significantly depleted in CpG islands, exons and transcription start sites, while enriched in OpenSea and regions not affiliated with a gene, suggesting a random location of the alterations in less conserved regions. In conclusion, more DNA methylation changes accumulated over time and more alterations occurred in high-grade tumours. The alterations mainly occurred in regions without gene affiliation, and did not affect the methylation-based classification, which largely remained homogeneous in paediatric brain tumours.
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