Untargeted metabolomics of cervicovaginal fluid in patients with ovarian cancer.
Cervicovaginal fluid (CVF) represents a promising biospecimen for ovarian cancer biomarker discovery, but metabolomics typically requires specialized collection methods. We assessed the feasibility of applying untargeted metabolomics to self-collected CVF from 10 ovarian cancer patients in the ORCHiD (Ovarian Cancer Epidemiology, Healthcare Access and Disparities) study using ultrahigh performance liquid chromatography-tandem mass spectroscopy. We detected 1107 compounds mapping to 1002 unique metabolite identifiers across 9 super chemical classes, with detection rates of 62-99%. One-third of detected metabolites overlapped with published studies, while two-thirds were novel. Sample-level detection profiles were broadly consistent. Untargeted metabolomics on self-collected CVF is technically feasible and enables metabolite discovery for population-based cancer research.
Duke Scholars
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