← Back to Clinical Trials
Recruiting NCT07450612

NCT07450612 Liquid Biopsy and Machine Learning for Early Colorectal Cancer, Adenomas, Lynch Cancers, and Residual Disease Detection

◆ AI Clinical Summary
Plain-language summary for patients
Clinical Trial Summary
NCT ID NCT07450612
Status Recruiting
Phase
Sponsor San Raffaele University
Condition Colorectal Cancer
Study Type OBSERVATIONAL
Enrollment 1,200 participants
Start Date 2024-01-01
Primary Completion 2031-01-15

Trial Parameters

Condition Colorectal Cancer
Sponsor San Raffaele University
Study Type OBSERVATIONAL
Phase N/A
Enrollment 1,200
Sex ALL
Min Age 18 Years
Max Age N/A
Start Date 2024-01-01
Completion 2031-01-15
Interventions
BEACON

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

Brief Summary

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.

Eligibility Criteria

Inclusion Criteria: * All individuals included in the study need to have had a colonoscopy at the time of blood sampling. * Received standard diagnostic and staging (as necessary) procedures as per local guidelines, and at least one sample was drawn before receiving any curative-intent treatment. * Received standard pathological and endoscopic diagnosis and assessment for cohort assignment Exclusion Criteria: * Lack of informed consent * Inflammatory bowel disease

Related Trials

Related Intelligence Guides

In-depth guides covering this condition's trials, eligibility, and what to expect.

ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology