ArticleJournal of neuropathology and experimental neurology2021
Analyses of DNA Methylation Profiling in the Diagnosis of Intramedullary Astrocytomas.
Article in Journal of neuropathology and experimental neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pediatric-type high-grade glioma of the spinal cord in the molecular era: institutional case series and updated systematic review of the literature.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025Pooled it
- DNA Methylation-Based Classification for Central Nervous System Tumours: A Health Technology Assessment.Ontario health technology assessment series · 2025Pooled it
- Multi-Layered Analysis of TGF-β Signaling and Regulation via DNA Methylation and microRNAs in Astrocytic Tumors.International journal of molecular sciences · 2025Article
- Adult H3 K27-altered, H3.3 K27-mutant diffuse midline glioma affecting the conus medullaris: illustrative case.Journal of neurosurgery. Case lessons · 2025Article
- Diagnostic impact of DNA methylation classification in adult and pediatric CNS tumors.Scientific reports · 2025Article
- H3Journal of clinical medicine · 2024Review
- Intramedullary Spinal Cord Tumors: Whole-Genome Sequencing to Assist Management and Prognosis.Cancers · 2024Article
- Clinical, imaging, and molecular features of radiation-induced glioblastomas developing more than 20 years after radiation therapy for intracranial germinomatous germ cell tumor: illustrative cases.Journal of neurosurgery. Case lessons · 2023Article
- Genomic profiling and prognostic factors of H3 K27M-mutant spinal cord diffuse glioma.Brain pathology (Zurich, Switzerland) · 2023Article
- Integrated genomic analysis reveals actionable targets in pediatric spinal cord low-grade gliomas.Acta neuropathologica communications · 2022Article
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11 authors.
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Abstract
Intramedullary astrocytomas (IMAs) consist of a heterogeneous group of rare central nervous system (CNS) tumors associated with variable outcomes. A DNA methylation-based classification approach has recently emerged as a powerful tool to further classify CNS tumors. However, no DNA methylation-related studies specifically addressing to IMAs have been performed yet. In the present study, we analyzed 16 IMA samples subjected to morphological and molecular analyses, including DNA methylation profiling. Among the 16 samples, only 3 cases were classified in a reference methylation class (MC) with the recommended calibrated score (≥0.9). The remaining cases were either considered "no-match" cases (calibrated score <0.3, n = 7) or were classified with low calibrated scores (ranging from 0.32 to 0.53, n = 6), including inconsistent classification. To obtain a more comprehensive tool for pathologists, we used different unsupervised analyses of DNA methylation profiles, including our data and those from the Heidelberg reference cohort. Even though our cohort included only 16 cases, hypotheses regarding IMA-specific classification were underlined; a potential specific MC of PA_SPINE was identified and high-grade IMAs, probably consisting of H3K27M wild-type IMAs, were mainly associated with ANA_PA MC. These hypotheses strongly suggest that a specific classification for IMAs has to be investigated.
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