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Project

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

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.

Date:1 Jan 2019 →  31 Dec 2022
Keywords:liquid biopsies, Extracellular vesicles, cancer, early detection
Disciplines:Nursing in preventive care and welfare, Metabolic diseases, Gynaecology, Cancer diagnosis, Other veterinary sciences not elsewhere classified, Veterinary anatomy, morphology and (clinical) pathology, Cytology, Endocrinology, Oncology not elsewhere classified, Agricultural, veterinary and food sciences not elsewhere classified, Animal pathology, Cancer biology