A cellular epigenetic classification system for glioblastoma
Our framework reconciles DNA methylation- and RNA-based classification systems and provides a blueprint for unifying bulk tumor profiles with single-cell biology, thereby refining molecular stratification and enhancing GBM diagnostics.
Authors
- Dana Silverbush (ORCID: https://orcid.org/0000-0001-7499-0092)
- Mario L. Suvà (ORCID: https://orcid.org/0000-0001-9898-5351)
- Nelson F. Freeburg (ORCID: https://orcid.org/0000-0003-4214-964X)
- Fabio Boniolo
- Channing Pooley
- Volker Hovestadt (ORCID: https://orcid.org/0000-0002-3480-6649)
- Federico Gaiti (ORCID: https://orcid.org/0000-0001-5111-8816)
- Liv Jürgensen
Institutions
- Broad Institute (US)
- Ontario Institute for Cancer Research (CA)
- Boston Children's Hospital (US)
- Harvard University (US)
- University of Toronto (CA)
- Princess Margaret Cancer Centre (CA)
- Parker Institute for Cancer Immunotherapy (US)
- Dana-Farber Cancer Institute (US)
- Center for Cancer Research (US)
- Boston Children's Museum (US)
- University of Pennsylvania (US)
- Philadelphia University (US)
Publication Details
- Journal
- Neuro-Oncology
- Published
- 2026-01-03
- DOI
- https://doi.org/10.1093/neuonc/noaf299
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00