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Liquid Biopsy for Early Detection of Colorectal Cancer Using Circular RNA (CIRCLE)

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City of Hope

Status

Enrolling

Conditions

Colorectal Cancer

Treatments

Diagnostic Test: cf-circRNA assay

Study type

Observational

Funder types

Other

Identifiers

NCT07224789
23228/CIRCLE

Details and patient eligibility

About

Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. This study aims to develop a non-invasive liquid biopsy assay using plasma-derived cell-free circular RNAs (cf-circRNAs) for early and accurate detection of colorectal cancer.

Full description

Colorectal cancer (CRC) is the third most common malignancy and the second leading cause of cancer-related mortality worldwide. Despite the proven benefit of screening colonoscopy, its invasive nature, high cost, and low adherence rates limit its use for population-level early detection. Current non-invasive screening tools, such as fecal occult blood testing and stool DNA assays, offer limited sensitivity, particularly for early-stage or right-sided colorectal tumors.

Therefore, there is a growing clinical need for a highly sensitive, minimally invasive, and patient-compliant diagnostic approach that can complement existing screening modalities.

Circular RNAs (circRNAs) are a novel class of endogenous non-coding RNAs characterized by covalently closed loop structures formed through back-splicing. Unlike linear RNAs, circRNAs are resistant to exonuclease-mediated degradation and are remarkably stable in body fluids. They exhibit tissue- and cancer-specific expression patterns, suggesting strong potential as non-invasive biomarkers.

Emerging evidence demonstrates that cell-free circRNAs (cf-circRNAs) circulate in plasma or serum either freely or encapsulated within extracellular vesicles such as exosomes. These cf-circRNAs retain the molecular signatures of their tumor of origin and can be reliably quantified using reverse transcriptase-quantitative PCR (RT-qPCR) or next-generation sequencing (NGS)-based platforms.

The CIRCLED study (Circular RNA for Colorectal Cancer Detection) is designed as a multi-center, case-control, observational study aiming to (1) identify diagnostic circRNA candidates from RNA sequencing, and (2) validate a cf-circRNA diagnostic panel capable of differentiating CRC patients from healthy individuals and those with benign colorectal diseases.

Enrollment

600 estimated patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Adults (≥18 years old)
  • Histologically confirmed colorectal cancer (Stage I-III)
  • Availability of pre-treatment plasma samples
  • Written informed consent provided

Exclusion criteria

  • History of other active malignancies within the past 5 years
  • Poor sample quality or hemolysis
  • Inability to provide informed consent

Trial design

600 participants in 4 patient groups

Colorectal Cancer - Training Cohort
Description:
Patients with histologically confirmed colorectal adenocarcinoma (Stage I-III) enrolled in the training set. Plasma samples are collected before any surgery or therapy for cf-circRNA profiling.
Treatment:
Diagnostic Test: cf-circRNA assay
Non-Disease Control - Training Cohort
Description:
Healthy individuals with no prior malignancy or major systemic disease, age- and sex-matched to the CRC group, included in the training set.
Treatment:
Diagnostic Test: cf-circRNA assay
Colorectal Cancer - Validation Cohort
Description:
Independent cohort of patients with histologically confirmed colorectal adenocarcinoma (Stage I-III) from separate institutions, used to validate the diagnostic cf-circRNA signature. Plasma obtained prior to treatment.
Treatment:
Diagnostic Test: cf-circRNA assay
Non-Disease Control - Validation Cohort
Description:
Independent cohort of healthy participants without malignant or inflammatory bowel disease, serving as external validation controls.
Treatment:
Diagnostic Test: cf-circRNA assay

Trial contacts and locations

1

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Central trial contact

Goel Ajay, PhD

Data sourced from clinicaltrials.gov

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