NCT06192030

Machine Learning Predicts Survival and Mutations in Ovarian Metastases of Colorectal Cancer

Machine Learning-based Model for Prediction of Survival and Mutations in Ovarian Metastases of Colorectal Cancer

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 200 (estimated)
• Sponsor: Sixth Affiliated Hospital, Sun Yat-sen University · Academic / Other
• Sex: Female
• Age: 18 Years – 85 Years
• Healthy volunteers: Not accepted

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 expression between long-survival group and short-survival group.

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 in patients with ovarian metastases of colorectal cancer. Secondly, the investigator aimed to compare the differential gene expression between long-survival group and short-survival group.

Conditions

• Ovarian Metastases of Colorectal Cancer

Interventions

Type	Name	Description
OTHER	Prediction model	We develop and validate clinical models to predict patient survival and gene signatures in ovarian metastases of colorectal cancer.

Timeline

• Start date: 2022-08-27
• Primary completion: 2025-08-01
• Completion: 2025-08-01
• First posted: 2024-01-05
• Last updated: 2024-01-05

Locations

1 site across 1 country: China