ArticleMolecular oncology2018
Methylation profiling of paediatric pilocytic astrocytoma reveals variants specifically associated with tumour location and predictive of recurrence.
Article in Molecular oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 26 citations in OpenAlex.
- Multimodal analysis of pediatric pilocytic astrocytomas reveals tumor location-associated cellular and transcriptional heterogeneity.Neuro-oncology · 2025Article
- Expanding morphological spectrum of pilocytic astrocytomas: insights from integrated histopathological and multiomic profiling.Journal of neuro-oncology · 2025Article
- A bibliometric analysis of research trends and hotspots of pilocytic astrocytoma from 2004 to 2023.Neurosurgical review · 2024Article
- Integrative multi-omics reveals two biologically distinct groups of pilocytic astrocytoma.Acta neuropathologica · 2023Article
- Detection and genomic analysis of BRAF fusions in Juvenile Pilocytic Astrocytoma through the combination and integration of multi-omic data.BMC cancer · 2022Article
- Human induced pluripotent stem cell engineering establishes a humanized mouse platform for pediatric low-grade glioma modeling.Acta neuropathologica communications · 2022Article
- Involvement of Phytochemical-Encapsulated Nanoparticles' Interaction with Cellular Signalling in the Amelioration of Benign and Malignant Brain Tumours.Molecules (Basel, Switzerland) · 2022Review
- Recent Advances in Pediatric Cancer Research.Cancer research · 2021Review
- Clinical impact of combined epigenetic and molecular analysis of pediatric low-grade gliomas.Neuro-oncology · 2020Article
- Pilocytic astrocytoma demethylation and transcriptional landscapes link bZIP transcription factors to immune response.Neuro-oncology · 2020Article
- Article
- Integrated DNA methylation analysis identifies topographical and tumoral biomarkers in pilocytic astrocytomas.Oncotarget · 2018Article
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Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Childhood pilocytic astrocytomas (PA) are low-grade tumours with an excellent prognosis. However, a minority, particularly those in surgically inaccessible locations, have poorer long-term outcome. At present, it is unclear whether anatomical location in isolation, or in combination with underlying biological variation, determines clinical behaviour. Here, we have tested the utility of DNA methylation profiling to inform tumour biology and to predict behaviour in paediatric PA. Genome-wide DNA methylation profiles were generated for 117 paediatric PAs. Using a combination of analyses, we identified DNA methylation variants specific to tumour location and predictive of behaviour. Receiver-operating characteristic analysis was used to test the predictive utility of clinical and/or DNA methylation features to classify tumour behaviour at diagnosis. Unsupervised analysis distinguished three methylation clusters associated with tumour location (cortical, midline and infratentorial). Differential methylation of 5404 sites identified enrichment of genes involved in 'embryonic nervous system development'. Specific hypermethylation of NEUROG1 and NR2E1 was identified as a feature of cortical tumours. A highly accurate method to classify tumours according to behaviour, which combined three clinical features (age, location and extent of resection) and methylation level at a single site, was identified. Our findings show location-specific epigenetic profiles for PAs, potentially reflecting their cell type of origin. This may account for differences in clinical behaviour according to location independent of histopathology. We also defined an accurate method to predict tumour behaviour at diagnosis. This warrants further testing in similar patient cohorts.
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