Clinical Research Directory
Browse clinical research sites, groups, and studies.
Using 4D Urinary Proteomics to Predict and Evaluate Treatment Response in Colorectal Cancer
Sponsor: Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Summary
The goal of this observational study is to learn how well urinary proteins can predict treatment response in patients with locally advanced colorectal cancer (LACC) undergoing neoadjuvant therapy. The main question it aims to answer is: Can urinary protein markers help predict and evaluate how patients with LACC respond to neoadjuvant therapy? Participants diagnosed with LACC will provide urine samples before and after neoadjuvant therapy. These samples will be analyzed using 4D deep urinary proteomics and machine learning to identify proteins linked to treatment response. Some participants' tumor tissues will also be used to create organoid models for further testing.
Official title: Predicting and Evaluating the Efficacy of Neoadjuvant Therapy in Colorectal Cancer Based on 4D Deep Urinary Proteomics Technology
Key Details
Gender
All
Age Range
18 Years - 75 Years
Study Type
OBSERVATIONAL
Enrollment
400
Start Date
2025-05-01
Completion Date
2029-05-01
Last Updated
2025-11-28
Healthy Volunteers
No
Locations (1)
Cancer Hospital Chinese Academy of Medical Sciences
Beijing, Chaoyang District, China