NCT06991452

Brief Summary

Colorectal cancer (CRC) has an insidious onset and its survival rate is closely related to clinical stage. While the 5-year survival rate of stage I patients exceeds 90%, it drops to 14% in stage IV. In China, only 15.2% of CRC cases are diagnosed at stage I, far below the rate in developed countries like the United States (24.1%). Early detection and screening are key to reducing CRC mortality and improving patient outcomes. However, current screening methods-including colonoscopy, fecal immunochemical tests (FIT), and emerging stool or blood-based biomarkers-face limitations such as invasiveness, low sensitivity, high cost, or lack of large-scale clinical validation. Importantly, these methods fail to dynamically reflect tumor evolution or assess prognosis and treatment response. Liquid biopsy has recently emerged as a promising non-invasive strategy for early cancer detection. It enables detection of tumor-related components in body fluids such as circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), tumor-educated platelets (TEPs), exosomes, and cancer-specific proteins. These approaches offer a comprehensive view of tumor heterogeneity, epigenetic modifications, and treatment response. Our multidisciplinary team, from Fudan University, Xiamen University, and Xuzhou Medical University, has previously developed a cfDNA-5hmC-based diagnostic model using 5hmC-Seal technology, achieving 88% sensitivity and 89% specificity in detecting CRC. To further improve tissue specificity and diagnostic accuracy, the investigators integrated multi-omics data and advanced AI techniques (including a Transformer-based deep learning model) to deconvolute tissue origin signals. In parallel, the investigators established a charge-selective CTC enrichment platform and discovered novel metabolic markers such as HPD that may indicate tumor recurrence and metastasis. The investigators team also developed a series of nano-biosensing platforms and tumor-targeting aptamer-based diagnostic kits, some of which have been granted national patents and clinical innovation awards. This observational study will establish a large-scale, multi-center cohort of early-stage CRC patients. The investigators aim to construct a comprehensive multi-omics atlas from liquid biopsy samples, identify early diagnostic and prognostic biomarkers for CRC (including liver metastasis and drug resistance), and develop AI-driven models for non-invasive early detection and recurrence prediction. The study is expected to deliver clinically applicable technologies that improve CRC diagnostic accuracy, enable timely intervention, and reduce mortality. All study procedures will comply with ethical guidelines and be approved by institutional review boards.

Trial Health

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Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,200

participants targeted

Target at P75+ for all trials

Timeline
18mo left

Started May 2025

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress41%
May 2025Nov 2027

Study Start

First participant enrolled

May 1, 2025

Completed
12 days until next milestone

First Submitted

Initial submission to the registry

May 13, 2025

Completed
15 days until next milestone

First Posted

Study publicly available on registry

May 28, 2025

Completed
2.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 1, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

November 1, 2027

Last Updated

May 28, 2025

Status Verified

May 1, 2025

Enrollment Period

2.5 years

First QC Date

May 13, 2025

Last Update Submit

May 23, 2025

Conditions

Keywords

Early diagnosis of colorectal cancerEarly warning of colorectal cancer recurrenceLiquid biopsy

Outcome Measures

Primary Outcomes (4)

  • Diagnostic Performance of a Novel Liquid Biopsy Model Incorporating Multi-Omics (Proteomics, Metabolomics, Circulating Nucleic Acid Analysis) and Serum Tumor Markers for Detecting Early-Stage Colorectal Cancer

    November, 2027

  • Diagnostic Performance of Novel Liquid Biopsy Model Incorporating Multi-Omics (Proteomics, Metabolomics, Circulating Nucleic Acid Analysis) and Serum Tumor Markers for prediction of CRC recurrence

    November, 2027

  • Diagnostic Performance of Novel Liquid Biopsy Model Incorporating Multi-Omics (Proteomics, Metabolomics, Circulating Nucleic Acid Analysis) and Serum Tumor Markers for prediction of CRC resistant to chemotherapy

    November, 2027

  • Diagnostic Performance of Novel Liquid Biopsy Model Incorporating Multi-Omics (Proteomics, Metabolomics, Circulating Nucleic Acid Analysis) and Serum Tumor Markers for prediction of CRC metastasis.

    November, 2027

Study Arms (7)

Early colorectal cancer

Diagnostic Test: Liquid biopsy

Control study participants with normal colonoscopy findings

Diagnostic Test: Liquid biopsy

Patients with non-neoplastic intestinal diseases

Diagnostic Test: Liquid biopsy

Patients with non-intestinal malignancies

Diagnostic Test: Liquid biopsy

Colorectal cancer resistant to chemotherapy

Diagnostic Test: Liquid biopsy

Patients with colorectal cancer liver metastasis

Diagnostic Test: Liquid biopsy

Colorectal cancer liver metastasis cohort control group

Diagnostic Test: Liquid biopsy

Interventions

Liquid biopsyDIAGNOSTIC_TEST

Serum protein profile, serum metabolic mass spectrometry, plasma cfDNA/cfRNA genomic and epigenomic assays, and serum tumor markers were performed. Patients were followed up for 3 years at a 3-month interval. Collect surgically removed colorectal cancer samples to construct PDX models if necessary.

Colorectal cancer liver metastasis cohort control groupColorectal cancer resistant to chemotherapyControl study participants with normal colonoscopy findingsEarly colorectal cancerPatients with colorectal cancer liver metastasisPatients with non-intestinal malignanciesPatients with non-neoplastic intestinal diseases

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The study will recruit a multi-center cohort of colorectal cancer patients (all stages), individuals with precancerous lesions (e.g., adenomas), and healthy controls. Participants must be ≥18 years old and capable of providing informed consent. This diverse population will enable training and external validation of a non-invasive AI-based diagnostic and prognostic model.

You may qualify if:

  • Aged between 18 and 80 years old, regardless of gender.
  • Patients diagnosed with early colorectal cancer in our hospital, with the following specific criteria:
  • Meet the diagnostic criteria of the Chinese Colorectal Cancer Diagnosis and Treatment Guidelines (2023 Edition) of the National Health Commission of the People's Republic of China, and be diagnosed with primary colorectal cancer by pathological tissue examination based on the imaging features of endoscopy, CT/CT enhanced scanning or MRI;
  • Accept the American Joint Committee on Cancer (AJCC)/Union for International Cancer Control (UICC) Colorectal Cancer TNM Staging System (8th Edition, 2017) evaluation, and be evaluated as stage I or II colorectal cancer (T1-4N0M0).
  • Have not received radiotherapy, chemotherapy, immunotherapy, surgery and other treatments.
  • No history of other malignant tumors.
  • Sign the informed consent form.
  • Aged between 18 and 80 years old, regardless of gender.
  • No abnormalities in colonoscopy results within the past 3 months.
  • No history of malignant tumors, no family history of malignant tumors (first-degree relatives, i.e. parents and/or second-degree relatives, i.e. grandfather, grandmother, uncle, etc., do not have malignant tumors).
  • No diseases such as obesity, hypertension, hyperlipidemia, metabolic syndrome, no bad living habits such as excessive drinking.
  • Voluntarily sign the informed consent form and can strictly follow the trial protocol to complete the study.
  • Aged between 18 and 80 years old, regardless of gender.
  • Patients diagnosed with non-neoplastic intestinal diseases such as colorectal adenoma and inflammatory bowel disease by colonoscopy and pathological examination. No history of colorectal cancer.
  • Aged between 18 and 80 years old, regardless of gender.
  • +21 more criteria

You may not qualify if:

  • Severe complications, such as liver and kidney dysfunction (Child-Pugh C or eGFR\<30).
  • Pregnant or lactating women.
  • Those who cannot accept venipuncture, are afraid of needles and blood, or have difficulty in blood collection.
  • Those who have donated blood (including blood products) or lost blood ≥200 mL in the past 2 months, or have received blood transfusions or used blood products in the past 2 months.
  • Those who have participated in any clinical trials of drugs or medical devices in the past 3 months or those whose trial drugs have not exceeded 5 half-lives (whichever is longer).
  • Unable to cooperate with follow-up (such as mental illness, expected survival \<1 year).
  • Withdrawal or loss of follow-up during the study.
  • Incomplete information on study participants.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Huashan Hospital

Shanghai, Shanghai Municipality, 200000, China

Location

MeSH Terms

Conditions

Colorectal Neoplasms

Interventions

Liquid Biopsy

Condition Hierarchy (Ancestors)

Intestinal NeoplasmsGastrointestinal NeoplasmsDigestive System NeoplasmsNeoplasms by SiteNeoplasmsDigestive System DiseasesGastrointestinal DiseasesColonic DiseasesIntestinal DiseasesRectal Diseases

Intervention Hierarchy (Ancestors)

BiopsyCytodiagnosisCytological TechniquesClinical Laboratory TechniquesDiagnostic Techniques and ProceduresDiagnosisSpecimen HandlingInvestigative Techniques

Central Study Contacts

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

May 13, 2025

First Posted

May 28, 2025

Study Start

May 1, 2025

Primary Completion (Estimated)

November 1, 2027

Study Completion (Estimated)

November 1, 2027

Last Updated

May 28, 2025

Record last verified: 2025-05

Data Sharing

IPD Sharing
Will not share

Individual participant data (IPD) will not be publicly shared but may be made available to qualified researchers upon reasonable request, subject to data use agreements and ethics approval, in accordance with participant consent and institutional policies.

Locations