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
1 other identifier
observational
400
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started May 2025
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 24, 2025
CompletedFirst Posted
Study publicly available on registry
April 1, 2025
CompletedStudy Start
First participant enrolled
May 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
May 1, 2029
November 28, 2025
March 1, 2025
2 years
March 24, 2025
November 22, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Tumor regression grade
Tumor regression after neoadjuvant therapy (based on pathological analysis of the resected specimen)
through study completion, an average of 3 months
Study Arms (3)
nCRT group
Diagnosed with rectal cancer and receiving neoadjuvant chemoradiotherapy.
chemotherapy group
Diagnosed with colorectal cancer and receiving neoadjuvant chemoradiotherapy.
immunochemotherapy group
Diagnosed with colorectal cancer and receiving neoadjuvant immunochemotherapy.
Eligibility Criteria
This study will enroll patients aged 18 to 75 years with a pathologically confirmed diagnosis of locally advanced colorectal cancer (LACC), defined as clinical stage cT3-4 and/or N+ without distant metastasis (M0) as determined by imaging (CT and/or PET-CT). Eligible participants must be treatment-naïve, with no prior exposure to anti-tumor therapies such as chemotherapy, targeted therapy, or immunotherapy. All patients must be clinically assessed as suitable candidates for neoadjuvant therapy followed by surgical resection and must be able to tolerate and complete the prescribed treatment regimen. In addition, participants must be willing and able to provide urine samples before and after neoadjuvant therapy and must sign written informed consent prior to enrollment. Patients will be excluded if they have a history of or concurrent diagnosis of other malignancies; suffer from serious hepatic, renal, cardiovascular, or metabolic conditions that may interfere with urinary protein metab
You may qualify if:
- Aged 18-75 years;
- Pathologically confirmed diagnosis of locally advanced colorectal cancer (cT3-4 and/or N+);
- Planned to undergo neoadjuvant therapy followed by surgical resection;
- No evidence of distant metastasis (M0) confirmed by imaging (CT and/or PET-CT);
- Clinically assessed as being able to tolerate and complete the full course of neoadjuvant treatment;
- No prior anti-tumor therapy (e.g., targeted therapy, immunotherapy) before the initiation of treatment;
- Willing and able to provide urine samples as required;
- Written informed consent obtained.
You may not qualify if:
- History of or concurrent diagnosis with other malignancies;
- Presence of severe hepatic, renal, cardiovascular, or metabolic diseases that may affect urinary protein metabolism;
- Recent use of medications known to affect protein metabolism (e.g., glucocorticoids, high-dose antibiotics);
- Urinary tract infection or other diseases known to cause abnormal urinary protein levels (e.g., nephrotic syndrome);
- Any other condition deemed unsuitable for enrollment by the investigators.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Cancer Hospital Chinese Academy of Medical Sciences
Beijing, Chaoyang District, 100021, China
Biospecimen
Urine
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Chief Physician
Study Record Dates
First Submitted
March 24, 2025
First Posted
April 1, 2025
Study Start
May 1, 2025
Primary Completion (Estimated)
May 1, 2027
Study Completion (Estimated)
May 1, 2029
Last Updated
November 28, 2025
Record last verified: 2025-03
Data Sharing
- IPD Sharing
- Will not share
Individual participant data (IPD) will not be shared due to concerns regarding patient privacy and confidentiality, as well as institutional regulations on data sharing.