Actively Recruiting
Liquid Biopsy and Machine Learning for Early Colorectal Cancer, Adenomas, Lynch Cancers, and Residual Disease Detection
Led by San Raffaele University · Updated on 2026-03-04
1200
Participants Needed
4
Research Sites
397 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This is an multicenter study that will test the diagnostic accuracy of a blood test (i.e., a liquid biopsy) for the diagnosis of colorectal cancer (CRC), advanced adenomas (AAs), as well as Lynch-syndrome associated cancers. Additionally, a pre-planned analysis will evaluate the use of this liquid biopsy as a tool for molecular residual disease monitoring purposes.
CONDITIONS
Official Title
Liquid Biopsy and Machine Learning for Early Colorectal Cancer, Adenomas, Lynch Cancers, and Residual Disease Detection
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Have had a colonoscopy at the time of blood sampling
- Received standard diagnostic and staging procedures as per local guidelines
- Provided at least one blood sample before any curative-intent treatment
- Received standard pathological and endoscopic diagnosis for cohort assignment
You will not qualify if you...
- Lack of informed consent
- Have inflammatory bowel disease
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 4 locations
1
Gastronterology and Gastrointestinal Endoscopy Unit, IRCCS San Raffaele Hospital
Milan, Lombardy, Italy, 20132
Not Yet Recruiting
2
Prof Giulia Martina Cavestro, MD PhD
Milan, Lombardy, Italy, 20132
Not Yet Recruiting
3
San Raffaele Scientific Institute, Gastroenterology and Gastrointestinal Endoscopy Unit
Milan, Lombardy, Italy, 20132
Actively Recruiting
4
Dipartimento di Chirurgia Oncologica e Dipartimento di Oncologia Sperimentale Istituto Nazionale Tumori
Milan, MI, Italy
Not Yet Recruiting
Research Team
G
Giulia Martina Cavestro, MD, PhD
CONTACT
G
Giulia Martina Cavestro
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
7
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