Using 4D Urinary Proteomics to Predict and Evaluate Treatment Response in Colorectal Cancer
Predicting and Evaluating the Efficacy of Neoadjuvant Therapy in Colorectal Cancer Based on 4D Deep Urinary Proteomics Technology
Cancer Institute and Hospital, Chinese Academy of Medical Sciences
400 participants
May 1, 2025
OBSERVATIONAL
Conditions
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.
Eligibility
Plain Language Summary
Simplified for easier understanding
This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.
Interested in this trial?
Get notified about updates and connect with the research team.
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06904677