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Comparison of Diagnostic Sensitivity Between ctDNA Methylation and CEA in Colorectal Cancer

Comparison of Diagnostic Sensitivity Between Circulating Tumor DNA Methylation and Carcinoembryonic Antigen in Colorectal Cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05558436
Enrollment
662
Registered
2022-09-28
Start date
2022-06-01
Completion date
2024-12-31
Last updated
2024-05-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colorectal Tumor

Keywords

colorectal cancer, advanced adenoma, circulating tumor DNA methylation

Brief summary

This is a prospective diagnostic study. This study is to compare the performance between circulating tumor DNA (ctDNA) methylation and carcinoembryonic antigen (CEA) in detecting colorectal tumor. Firstly, based on the identification of differential ctDNA methylation biomarkers, the diagnostic model is established and the diagnostic performance was compared with that of CEA. Secondly, the stage stratification model was established preliminarily based on differential ctDNA methylation biomarkers and the performance was also compared with that of CEA.

Detailed description

Colorectal cancer (CRC) is the third most common cancer worldwide, the second deadliest cancer. It is reported that patients prefer non-invasive methods rather than invasive methods for the detection of CRC. Carcinoembryonic antigen (CEA) is commonly employed in clinical practice for early detection of CRC, but it is limited for its low sensitivity, which is around 30%-40%. DNA methylation is a commonly used biomarker for non-invasive tumor detection in plasma. We aim to develop and validate a ctDNA methylation-based blood test for CRC diagnosis based on genome-wide methylation detection. There are two steps in the study. Firstly, this prospective study aims to identify colorectal tumor differential circulating tumor DNA (ctDNA) methylation biomarkers, establish the diagnostic model. Secondly, we performed a preliminary study to stratify early-stage and advanced-stage disease based on the differential biomarkers.

Interventions

DIAGNOSTIC_TESTGenome-wide methylation profiling

Detection for colorectal tumor-specific ctDNA methylation biomarkers

Sponsors

Nanfang Hospital, Southern Medical University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

Case group * Patients must have histologically confirmed colorectal cancer or advanced adenoma. * Patients need to receive surgical resection or endoscopic resection. * Patients have a performance status of ≤1 on the ECOG Performance Scale. * Written informed consent must be obtained. Control group * Written informed consent must be obtained. * Individuals must receive colonoscopy.

Exclusion criteria

* Patients received tumor treatment prior to the drawn of blood sample, including surgical resection, neoadjuvant chemoradiotherapy and targeted therapy. * Patients received antibiotics regularly. * Patients received blood transfusion two weeks before the drawn of blood sample. * Patients with indications of emergency surgery, including bleeding, obstruction and perforation. * Patients who are positive for Human Immunodeficiency Virus (HIV). * Patients with abnormal liver and kidney function. * Patients with the history of other malignancies, inflammatory bowel disease and Lynch syndrome. * Patients who are pregnant or breastfeeding. * Alcoholic or drug abusers.

Design outcomes

Primary

MeasureTime frameDescription
Diagnostic sensitivity3 yearsThe comparison of sensitivity between ctDNA methylation and CEA in detecting colorectal cancer

Secondary

MeasureTime frameDescription
Stage stratification3 yearsThe performance of the novel model to stratify early-stage and advanced-stage disease, and comparing with that of CEA.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026