DNA methylation alterations across time and space in paediatric brain tumours

• Published in: Acta neuropathologica communications Vol. 10; no. 1; pp. 105 - 14
• Main Authors: Wenger, Anna, Ferreyra Vega, Sandra, Schepke, Elizabeth, Löfgren, Maja, Olsson Bontell, Thomas, Tisell, Magnus, Nilsson, Daniel, Kling, Teresia, Carén, Helena
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 16.07.2022; BioMed Central; BMC
• Subjects: Biomarkers; Biopsy; Brain cancer; Brain Neoplasms - genetics; Brain Neoplasms - pathology; Brain tumors; Brain tumour; Care and treatment; central-nervous-system; Child; Childhood cancer; childhood medulloblastoma; Classification; CpG Islands; DNA; DNA Methylation; EPIC methylation array; Genetic transcription; Health aspects; Heterogeneity; Histology; Humans; Intratumour; Medical prognosis; Metastasis; Methylation; molecular subgroups; Mutation; Neoplasm Recurrence, Local - genetics; Neuropathology; Neurosciences; Neurosciences & Neurology; Neurovetenskaper; normalization; package; Patients; Pediatrics; Phylogenetics; Relapse; Tumors; United States > US; Heterogeneity; Brain tumour; Relapse; Classification; DNA methylation; EPIC methylation array; Intratumour; Childhood cancer
• ISSN: 2051-5960; 2051-5960
• DOI: 10.1186/s40478-022-01406-8

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.