
Extracellular vesicles (EVs) are emerging as powerful tools in precision medicine, offering valuable insights into disease progression, enabling early detection, and supporting personalized treatment approaches. They also hold great promise as drug delivery systems, improving therapeutic outcomes. However, their clinical potential remains largely untapped due to technological limitations and the lack of standardized purification methods.
​
EXPAND-EV is dedicated to overcoming these barriers by developing an innovative, scalable, and cost-effective EV purification system. Leveraging single-domain antibody affinity technology (nanobodies, Nbs), this system will enable highly efficient and reproducible EV isolation for both diagnostic and therapeutic use. By addressing key limitations in EV purification, EXPAND-EV aims to accelerate their integration into precision medicine, particularly in cancer diagnostics and treatment.
EXPAND-EV is structured around two primary research areas:
Advancing Liquid Biopsy for Cancer Diagnosis
The project will validate the EV purification system in clinical laboratories using samples from breast, liver, and lung cancer patients. By analyzing the proteomic, glycomic, and transcriptomic signatures of EVs, researchers will identify new biomarker panels. These biomarkers will facilitate early cancer detection, non-invasive prognosis, and the development of personalized therapeutic strategies.
Developing Plant-Derived EVs for Drug Delivery
EXPAND-EV is pioneering the use of edible plant-derived EVs (PDEVs) as natural carriers for therapeutic small interfering RNA (siRNA) molecules. The project will establish Good Manufacturing Practice (GMP)-compliant protocols to produce these PDEVs and evaluate their safety and efficacy in preclinical cancer models. This research has the potential to create a non-invasive, sustainable, and effective drug delivery platform.
Knowledge Exchange and Networking in EXPAND-EV



Work packages
In order to achieve the successful complementation of EXPAND-EV objectives,
the work-plan is wisely organized and split into the following distinct work packages (WPs):
- 01
- 02
- 03
- 04
- 05
- 06
- 07


