Multiomic neuropathology improves diagnostic accuracy in pediatric neuro-oncology.
Dominik SturmDavid CapperFelipe AndreiuoloMarco GessiChristian KölscheAnnekathrin ReinhardtPhilipp SieversAnnika K WefersAzadeh EbrahimiAbigail K SuwalaGerrit H GielenMartin SillDaniel SchrimpfDamian StichelVolker HovestadtBjarne DaenekasAgata RodeStefan HamelmannChristopher PrevitiNatalie JägerIvo BuchhalterMirjam Blattner-JohnsonBarbara C JonesMonika Warmuth-MetzBrigitte BisonKerstin GrundChristian SutterSteffen HirschNicola DikowMartin HasselblattUlrich SchüllerNicolas U GerberChristine L WhiteMolly K BuntineKathryn KinrossElizabeth M AlgarJordan R HansfordNicholas G GottardoPablo Hernáiz DrieverAstrid Katharina GnekowOlaf WittHermann L MüllerGabriele CalaminusGudrun FleischhackUwe R KordesMartin MynarekStefan RutkowskiMichael Christoph FrühwaldChristof Maria KrammAndreas von DeimlingTorsten PietschFelix SahmStefan M PfisterDavid T W JonesPublished in: Nature medicine (2023)
The large diversity of central nervous system (CNS) tumor types in children and adolescents results in disparate patient outcomes and renders accurate diagnosis challenging. In this study, we prospectively integrated DNA methylation profiling and targeted gene panel sequencing with blinded neuropathological reference diagnostics for a population-based cohort of more than 1,200 newly diagnosed pediatric patients with CNS tumors, to assess their utility in routine neuropathology. We show that the multi-omic integration increased diagnostic accuracy in a substantial proportion of patients through annotation to a refining DNA methylation class (50%), detection of diagnostic or therapeutically relevant genetic alterations (47%) or identification of cancer predisposition syndromes (10%). Discrepant results by neuropathological WHO-based and DNA methylation-based classification (30%) were enriched in histological high-grade gliomas, implicating relevance for current clinical patient management in 5% of all patients. Follow-up (median 2.5 years) suggests improved survival for patients with histological high-grade gliomas displaying lower-grade molecular profiles. These results provide preliminary evidence of the utility of integrating multi-omics in neuropathology for pediatric neuro-oncology.
Keyphrases
- high grade
- dna methylation
- newly diagnosed
- genome wide
- end stage renal disease
- gene expression
- ejection fraction
- low grade
- chronic kidney disease
- palliative care
- single cell
- copy number
- prognostic factors
- peritoneal dialysis
- machine learning
- blood brain barrier
- young adults
- clinical trial
- high resolution
- squamous cell carcinoma
- drug delivery
- clinical practice
- patient reported