Extracellular vesicles redefine glioma detection.

Robinson et al. challenge the reliance on neurosurgery for glioma diagnosis by integrating multi-omic profiling of plasma extracellular vesicles with machine learning. Across independent cohorts, these biomarkers discriminate between glioma and controls and enable longitudinal tracking of tumor burden, establishing a clinically relevant foundation for minimally invasive diagnosis, monitoring, and stratification.