Diagnostic and Prognostic Utility of the Extracellular Vesicles Subpopulations Present in Pleural Effusion

Joman Javadi1, André Görgens2, Hanna Vanky1

  • 1Division of Pathology, Department of Laboratory Medicine, Karolinska Institutet, 141 52 Stockholm, Sweden.

Biomolecules
|November 27, 2021
PubMed

Insights

Extracellular vesicles (EVs) in pleural effusion contain diagnostic markers for malignant pleural mesothelioma (MPM). These tumor markers, found in exosomes, can help differentiate MPM from benign conditions and adenocarcinomas.

Area of Science:

  • Biochemistry
  • Oncology
  • Cell Biology

Background:

  • Extracellular vesicles (EVs) mediate intercellular communication and matrix remodeling.
  • Malignant pleural mesothelioma (MPM) diagnosis is challenging, especially differentiating from benign conditions and adenocarcinomas (AD).
  • Pleural effusion is a key biological material for MPM diagnostics.

Purpose of the Study:

  • To characterize tumor heterogeneity and EV diversity in pleural effusion for MPM diagnosis and prognosis.
  • To determine if diagnostic markers are vesicle-associated or soluble in MPM effusions.

Main Methods:

  • Collected and processed 27 pleural effusions (MPM, benign, AD).
  • Fractionated EVs (apoptotic bodies, microvesicles, exosomes) via differential centrifugation.
  • Characterized EVs using nanoparticle tracking analysis, Western blotting, and multiplex bead-based flow cytometry.
  • Analyzed exosomal proteins using Luminex multiplex immunoassay.

Main Results:

  • Exosomal markers showed differential expression across EV fractions.
  • All studied soluble proteins were also found in exosomes, with varying supernatant-exosome ratios.
  • Angiopoietin-1 proportion was higher in exosomes from benign samples.
  • Mesothelin, Galectin-1, Osteopontin, and VEGF ratios were higher in exosomes from MPM effusions.

Conclusions:

  • Diagnostic markers for MPM can be effectively recovered from exosomes in pleural effusion.
  • EV-associated proteins offer potential for improved MPM diagnostics.