A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification - PubMed
3 months ago
- #tumor microenvironment
- #machine learning
- #meningioma
- The study refines meningioma subtyping by identifying a tumor microenvironment (TME)-determined risk continuum.
- Multiomic profiling and computational evaluation reveal the impact of TME on epigenetic classification and clinical outcomes.
- Non-neoplastic cells in the CNS play a decisive role in the methylation classifier.
- The findings challenge the model of distinct meningioma subgroups, proposing a TME-determined risk continuum instead.
- A simple diagnostic approach using immunohistochemistry is developed for improved clinical prediction accuracy, applicable in resource-limited settings.
- Several authors have competing interests, including patents and employment with Heidelberg Epignostix, and consulting roles with various pharmaceutical companies.