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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Early colorectal cancer |
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| Control study participants with normal colonoscopy findings |
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| Patients with non-neoplastic intestinal diseases |
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| Patients with non-intestinal malignancies |
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| Colorectal cancer resistant to chemotherapy |
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| Patients with colorectal cancer liver metastasis |
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| Colorectal cancer liver metastasis cohort control group |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Liquid biopsy | Diagnostic 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. |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
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Inclusion Criteria:
1: Inclusion criteria for the case group:
Aged between 18 and 80 years old, regardless of gender.
Patients diagnosed with early colorectal cancer in our hospital, with the following specific criteria:
No history of other malignant tumors.
Sign the informed consent form.
2: Inclusion criteria for participants in the control study with no obvious abnormalities in colonoscopy:
3: Inclusion criteria for patients with non-neoplastic intestinal diseases:
4: Inclusion criteria for patients with non-intestinal malignancies:
5: Inclusion criteria for the chemotherapy resistance prediction team:
Age between 18 and 80 years old, with no gender restrictions.
Patients diagnosed with colorectal cancer in our hospital, with specific criteria as follows:
Evaluated as meeting surgical indications and planned to undergo radical surgery in three hospitals.
No history of other malignant tumors in the past.
Signed the informed consent form.
6: Inclusion Criteria for the Prediction Model of Colorectal Cancer Liver Metastasis:
Age between 18 and 80 years old, with no gender restrictions.
Patients diagnosed with colorectal cancer with liver metastasis in our hospital, with specific criteria as follows:
No history of other malignant tumors.
Signed informed consent form.
7: Inclusion criteria for the control group of the colorectal cancer liver metastasis cohort:
Age between 18 and 80 years old, with no gender restrictions.
Patients diagnosed with locally advanced colorectal cancer without distant metastasis in our hospital, with the following specific criteria:
No history of other malignant tumors in the past.
Signed informed consent.
Exclusion Criteria:
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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.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jie Liu, Dr. | Contact | 862152888045 | jieliu@fudan.edu.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Huashan Hospital | Shanghai | Shanghai Municipality | 200000 | China |
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.
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| ID | Term |
|---|---|
| D015179 | Colorectal Neoplasms |
| ID | Term |
|---|---|
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
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| ID | Term |
|---|---|
| D000073890 | Liquid Biopsy |
| ID | Term |
|---|---|
| D001706 | Biopsy |
| D003581 | Cytodiagnosis |
| D003584 | Cytological Techniques |
| D019411 | Clinical Laboratory Techniques |
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|
| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |
| D019937 |
| Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
| D013048 | Specimen Handling |
| D008919 | Investigative Techniques |