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April 21, 2026Cell Reports MedicineOpen Access

Combined multi-omics and multi-spectral profiling of plasma extracellular vesicles reveals liquid biopsy biomarkers for glioma diagnosis

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Authors

SRStephen David RobinsonBHBiniam Tsegay HaileMRMatthew Reily-Bell

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Overview

Demonstrates a multimodal plasma sEV biomarker signature for glioma, highlighting its diagnostic potential.

Key Points

  • The study aims to identify and validate a plasma small extracellular vesicle (sEV) biomarker signature for glioma diagnosis.
  • Separated sEVs from plasma using size exclusion chromatography.
  • Analyzed sEV profiles with multi-spectral and multi-omics approaches across 206 samples.
  • Applied machine learning models to assess diagnostic accuracy.
  • Identified distinct glioma sEV biomolecular profiles including 45 proteins and 20 microRNAs.
  • Achieved high diagnostic performance with AUCs between 0.931 and 0.971 in machine learning models.
  • Confirmed a 100% accuracy for the biomarker signatures in the longitudinal cohort.

Cite This Study

Robinson et al. (2026) studied this question.

synapsesocial.com/papers/69e7138bcb99343efc98cf7chttps://doi.org/10.1016/j.xcrm.2026.102744
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