A urinary three-metabolite signature enables non-invasive identification of high-risk ovarian cancer patients
Alexander Max Funk·Jan Dominik Kuhlmann·Franziska Maria Schwarz·T Link·Sophie Jonas·P Wimberger·L Freitag·Anna Klimova·Triantafyllos Chavakis·Peter Mirtschink·Mareike Brieske
We define a urinary three-metabolite signature that enables non-invasive identification of high-risk ovarian cancer patients beyond established clinical factors and may support molecular stratification and risk-adapted clinical decisions, thereby supporting the clinical scalability of urine as a matrix for metabolic risk profiling in ovarian cancer.