Status:
RECRUITING
Machine Learning Predicts Survival and Mutations in Ovarian Metastases of Colorectal Cancer
Lead Sponsor:
Sixth Affiliated Hospital, Sun Yat-sen University
Conditions:
Ovarian Metastases of Colorectal Cancer
Eligibility:
FEMALE
18-85 years
Brief Summary
The study aimed to develop and validate models to predict survival outcome and key mutations in patients with ovarian metastases of colorectal cancer, as well as to compare the differential gene expre...
Detailed Description
The investigator performed a retrospective-prospective cohort study with the aim of developing and validating comprehensive models to predict survival outcome and key mutations from multimodality data...
Eligibility Criteria
Inclusion
- Histologically confirmed colorectal cancer
- Unilateral or bilateral ovarian masses confirmed by peroperative imaging examination
- Patient requiring resection of their ovarian and/or peritoneal carcinomatosis
- 18 ≤ Age ≤ 85
- World Health Organization performance status ≤ 1
- Life expectancy \> 12 weeks
- Adequate haematological, liver and renal function
- Patient information and signature of the informed consent form before the start of any treatment procedures
Exclusion
- Ovarian metastases of origin other than colorectal
- Primary ovarian tumor
- Clinical data missing
Key Trial Info
Start Date :
August 27 2022
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
August 1 2025
Estimated Enrollment :
200 Patients enrolled
Trial Details
Trial ID
NCT06192030
Start Date
August 27 2022
End Date
August 1 2025
Last Update
January 5 2024
Active Locations (1)
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1
Sixth Affiliated Hospital, Sun Yat-sen University
Guangzhou, Guangdong, China, 510655