Development of a Pan-Cancer Screening Model Based on Blood Biomarkers (NCT07554157) | Clinical Trial Compass
Active — Not RecruitingNot Applicable
Development of a Pan-Cancer Screening Model Based on Blood Biomarkers
China10,000,000 participantsStarted 2025-10-22
Plain-language summary
This study aims to develop a pan-cancer screening model using routine blood biomarkers (including complete blood count, biochemical tests, coagulation panel, and tumor markers). The study is retrospective, collecting data from approximately 10,000,000 cancer patients diagnosed at multiple centers in China between January 2006 and September 2025. All patients have confirmed pathological diagnosis and complete blood test records. A Mixture of Experts (MoE) machine learning model will be built to predict the presence of various cancers (e.g., gastric, colorectal, liver, lung, ovarian cancer). The goal is to establish a low-cost, non-invasive screening tool suitable for large-scale population screening.
Who can participate
Age range
18 Years – 80 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* Pathologically confirmed cancer patients (for case group) OR individuals without cancer (for control group)
* Age between 18 and 80 years
* Complete clinical data and blood test results (complete blood count, biochemistry, coagulation panel, tumor markers) available
* No history of other organic diseases (excluding cancer)
Exclusion Criteria:
* Presence of organic diseases other than cancer (e.g., severe heart, liver, kidney disease)
* Hematologic disorders or immunodeficiency diseases (e.g., AIDS)
* Incomplete data or missing timeline records
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
Area under the ROC curve (AUC)
Timeframe: At study completion, approximately December 2030
2
Sensitivity of the model
Timeframe: At study completion, approximately December 2030
3
Specificity of the model
Timeframe: At study completion, approximately December 2030