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Trial Title: Early Screening of Colorectal Cancer Based on Plasma Multi-omics Combining With Artificial Intelligence

NCT ID: NCT05587452

Condition: Colorectal Adenoma
Colorectal Cancer

Conditions: Official terms:
Colorectal Neoplasms
Adenoma

Conditions: Keywords:
Colorectal cancer
Early screening
Multi-omics
ctDNA
Artifical intelligence

Study type: Observational

Overall status: Recruiting

Study design:

Time perspective: Prospective

Intervention:

Intervention type: Diagnostic Test
Intervention name: Colonoscopy
Description: Colonoscopy is performed to identify whether the patient has colorectal adenoma or cancer
Arm group label: Advanced adenoma group
Arm group label: Colorectal cancer group
Arm group label: Healthy group

Intervention type: Diagnostic Test
Intervention name: Test of ctDNA methylation
Description: A specified panel is used to detect the site of methylation of ctDNA in plasma
Arm group label: Advanced adenoma group
Arm group label: Colorectal cancer group
Arm group label: Healthy group

Intervention type: Diagnostic Test
Intervention name: Test of characteristics of ctDNA fragment
Description: Low pass whole genome sequencing is used to detect the characteristics of ctDNA fragment
Arm group label: Advanced adenoma group
Arm group label: Colorectal cancer group
Arm group label: Healthy group

Summary: To evaluate the accuracy and effectiveness of a novel screening method based on plasma multi-omics combining with artificial intelligence in a large prospective cohort for the detection of colorectal cancer and advanced adenomas.

Detailed description: Minimally invasive detection of circulating tumor DNA (ctDNA) in peripheral blood of patients with colorectal malignancies via liquid biopsy has emerged as a promising biomarker. This is urgently needed, as conventional imaging and plasma protein-derived biomarkers lack sensitivity and specificity.The goal of this observational study is to evaluate the effectiveness and accuracy of a novel screening method based on plasma multi-omics combining with artificial intelligence in five hospitals around China for the detection of colorectal cancer and advanced adenomas.

Criteria for eligibility:

Study pop:
Heathy group: Patients without colorectal adenoma or cancer examined by colonoscopy Precancerous group: Patients at least meet one of the following conditions: ① Diameter >10mm ② Villus-tubiform adenoma ③ More than 25% of villi structure in mixed adenoma ④High-grade intraepithelial neoplasia Colorectal cancer group: Patients diagnosed with adenocarcinoma by colonoscopy and histological examination.

Sampling method: Non-Probability Sample
Criteria:
Inclusion Criteria: 1. Inclusion criteria for colorectal cancer/advanced adenoma 1) Voluntarily participate and sign the informed consent form, and be able to cooperate with the entire research process 2) Be able to provide sufficient and qualified blood samples for this study 3) Patients with pathological diagnosis of colorectal cancer stage I-III (TNM staging according to AJCC 8th edition colorectal cancer staging system) 4) No previous cancer treatment, including chemotherapy, radiotherapy, targeted or immunotherapy, and any surgery treat 5) Advanced adenoma should at least meet one of the following conditions: ① Diameter >10mm ② Villus-tubiform adenoma ③ More than 25% of villi structure in mixed adenoma ④High-grade intraepithelial neoplasia 2. Inclusion criteria for healthy people 1) Voluntarily participate and sign the informed consent form, and be able to cooperate with the entire research process 2) Diagnosed without colorectal adenoma or cancer by colonoscopy within 12 months Exclusion Criteria: 1. Exclusion criteria for colorectal cancer/advanced adenoma 1) Women who are pregnant or breastfeeding 2) Currently diagnosed with another cancer or have a history cancer 3) Persistent fever or receiving anti-inflammatory treatment within 14 days before blood samples are taken in this study 4) Receiving blood transfusion within 30 days 5) Receiving organ transplantation or previous non-autologous (allogeneic) bone marrow or stem cell transplantation 6) Digestive tract bleeding, obstruction, perforation and any trauma or surgery within 3 months 7) Poor physical condition, not suitable for extraction blood samples 8) Subjects who are judged by the investigator to be unsuitable to participate in this study for other reasons; 2. Exclusion criteria for healthy people 1) Women who are pregnant or breastfeeding 2) Receiving organ transplantation or previous non-autologous (allogeneic) bone marrow or stem cell transplantation 3) Have a history cancer 4) Receiving blood transfusion within 30 days 5) Poor physical condition, not suitable for extraction Blood samples 6) Diagnosed with precancerous lesions by colonoscopy.

Gender: All

Minimum age: 18 Years

Maximum age: 75 Years

Healthy volunteers: Accepts Healthy Volunteers

Locations:

Facility:
Name: Cancer Hospital Chinese Academy of Medical Sciences

Address:
City: Beijing
Zip: 100021
Country: China

Status: Recruiting

Contact:
Last name: Jianqiang Tang, Dr.

Phone: +8613661090026
Email: doc_tjq@hotmail.com

Investigator:
Last name: Jianqiang Tang, Dr.
Email: Principal Investigator

Facility:
Name: Beiijing Fengtai Hospital

Address:
City: Beijing
Country: China

Status: Recruiting

Contact:
Last name: Fucheng Liu, Dr.

Facility:
Name: Cangzhou Central Hospital

Address:
City: Cangzhou
Country: China

Status: Recruiting

Contact:
Last name: Guiwei Liu, Dr.

Phone: +8618031792096

Facility:
Name: Affiliated Hospital of Weifang Medical University

Address:
City: Weifang
Country: China

Status: Recruiting

Contact:
Last name: Bin Ren, Dr.

Phone: +8613563610520

Facility:
Name: Heji Hospital affiliated to Changzhi Medical College

Address:
City: Changzhi
Country: China

Status: Recruiting

Contact:
Last name: Wei Guo, Dr.

Phone: +8613835513617

Start date: May 1, 2022

Completion date: May 1, 2025

Lead sponsor:
Agency: Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Agency class: Other

Collaborator:
Agency: Cangzhou Central Hospital
Agency class: Other

Collaborator:
Agency: Weifang Medical University
Agency class: Other

Collaborator:
Agency: Heji Hospital affiliated to Changzhi Medical College
Agency class: Other

Collaborator:
Agency: Beijng Fengtai Hospital
Agency class: Other

Source: Cancer Institute and Hospital, Chinese Academy of Medical Sciences

Record processing date: ClinicalTrials.gov processed this data on November 12, 2024

Source: ClinicalTrials.gov page: https://clinicaltrials.gov/ct2/show/NCT05587452

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