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Clinical Trial Summary

This study is a multi-center, observational study aiming at developing a machine learning-based early detection model using prospectively collected liquid biopsy samples from newly diagnosed ovarian cancer.


Clinical Trial Description

Peripheral blood samples from ovarian cancer (OC) patients will be prospectively collected to identify cancer-specific circulating signals by analyzing cell free DNA. Based on the comprehensive molecular profiling, a machine learning-driven noninvasive test will be trained and validated through a two-stage approach in clinically annotated individuals. Approximately 168 stage I-II OC patients will be enrolled in this study. Age-matched female controls included in model development were recruited in another study, which are volunteers without a cancer diagnosis after routine medical screening. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06249308
Study type Observational
Source Fudan University
Contact Hao Wen, M.D., Ph.D.
Phone +8618017317873
Email wenhao_fdc@163.com
Status Recruiting
Phase
Start date December 18, 2023
Completion date December 31, 2026

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