Clinical Trial: Early Detection of Ovarian Cancer Using Plasma Cell-free DNA Fragmentomics (Retrospective Study)
Study Status: Active, not recruiting
Recruit Status: Active, not recruiting
Condition: Ovarian Cancer
Study Type: Observational
Official Title: A Retrospective Study of Early Detection of Ovarian Cancer Using Plasma Cell-free DNA Fragmentomics
Brief Summary:
The purpose of this study is to enable non-invasive early detection of ovarian cancer in high-risk populations through the establishment of a multimodal machine learning model using plasma cell-free DNA fragmentomics. Plasma cell-free DNA from early stage ovarian cancer patients and healthy individuals will be subjected to whole-genome sequencing. Five diferent feature types, including Fragment Size Coverage (FSC), Fragment Size Distribution (FSD), EnD Motif (EDM), BreakPoint Motif (BPM), and Copy Number Variation…
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