A Multi-center, Perspective, Observational Case-control Study to Develop and Validate an Ovarian Cancer Early Detection Model Based on Peripheral Blood Multi-omic Analysis and Machine Learning
Status: Recruiting
Location: See all (3) locations...
Intervention Type: Other
Study Type: Observational
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.
Eligibility
Participation Requirements
Sex: Female
Minimum Age: 40
Maximum Age: 75
Healthy Volunteers: f
View:
• 40-75 years old
• Clinically and/or pathologically diagnosed ovarian cancer
• No prior or undergoing any systemic or local antitumor therapy, including but not limited to surgical resection, radiochemotherapy, endocrinotherapy, targeted therapy, immunotherapy, interventional therapy, etc.
• Able to provide a written informed consent and willing to comply with all part of the protocol procedures
Locations
Other Locations
China
Sun Yat-sen Memorial Hospital
NOT_YET_RECRUITING
Guangzhou
Fudan University Shanghai Cancer Center
RECRUITING
Shanghai
Liaoning Cancer Hospital & Institute
NOT_YET_RECRUITING
Shenyang
Contact Information
Primary
Hao Wen, M.D., Ph.D.
wenhao_fdc@163.com
+8618017317873
Time Frame
Start Date: 2023-12-18
Estimated Completion Date: 2026-12-31
Participants
Target number of participants: 168
Treatments
Ovarian cancer
Participants with new diagnosis of ovarian cancer, from whom a peripheral blood sample will be collected.
Related Therapeutic Areas
Sponsors
Collaborators: Shanghai Weihe Medical Laboratory Co., Ltd.
Leads: Fudan University