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Diffuse glioneuronal tumour with oligodendroglioma-like features and nuclear clusters (DGONC) - a molecularly defined glioneuronal CNS tumour class displaying recurrent monosomy 14.

M Y DengM SillD SturmD StichelH WittJ EckerA WittmannCornelia BrendleM EbingerM U SchuhmannD Figarella-BrangerE AronicaO StaszewskiM PreusserC HaberlerM LautenU SchüllerC HartmannM SnuderlC DunhamN JabadoP WesselingM DeckertK KeyvaniN GottardoF GiangasperoK von HoffD W EllisonT PietschC Herold-MendeT MildeO WittM KoolA KorshunovW WickA von DeimlingS M PfisterD T W JonesFelix Sahm
Published in: Neuropathology and applied neurobiology (2020)
DNA methylation-based tumour classification is an objective method of assessing tumour origins, which may aid in diagnosis, especially for atypical cases. With increasing sample size, methylation analysis allows for the identification of rare, putative new tumour entities, which are currently not recognized by the WHO classification. Our study revealed the existence of a DNA methylation-defined class of low-grade glioneuronal tumours with recurrent monosomy 14, oligodendroglioma-like features and nuclear clusters.
Keyphrases
  • dna methylation
  • low grade
  • genome wide
  • machine learning
  • high grade
  • deep learning
  • gene expression
  • blood brain barrier