Detection and validation of EV-associated molecular patterns to diagnose early stage ovarian cancer

01 January 2019 → 31 December 2022
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Animal pathology
  • Medical and health sciences
    • Endocrinology
    • Gynaecology
    • Cytology
    • Oncology not elsewhere classified
    • Metabolic diseases
    • Gynaecology
    • Cytology
    • Cancer biology
    • Nursing in preventive care and welfare
    • Metabolic diseases
    • Gynaecology
    • Cytology
    • Cancer diagnosis
  • Agricultural and food sciences
    • Veterinary anatomy, morphology and (clinical) pathology
    • Other veterinary sciences not elsewhere classified
    • Agricultural, veterinary and food sciences not elsewhere classified
Extracellular vesicles liquid biopsies early detection cancer
Project description

Early detection is key to reducing ovarian cancer-associated deaths. Tumor-derived extracellular vesicles (EV), nanometer-sized membrane vesicles which contain proteins, lipids, metabolites and nucleic acids, enter the systemic circulation. We analyze and validate the implementation of EV-associated molecular patterns from blood to detect early stage ovarian cancer.