A Single-arm, Prospective, Multi-center Cohort Study Based on Deep Learning-based cfDNA Fragment … (NCT07304934) | Clinical Trial Compass
Not Yet RecruitingNot Applicable
A Single-arm, Prospective, Multi-center Cohort Study Based on Deep Learning-based cfDNA Fragment Omics to Verify the TuFEst Model for the Staging Diagnosis of Breast Cancer Lesions and Lymph Nodes
269 participantsStarted 2025-12-01
Plain-language summary
Through the research of this project, we expect to achieve the cfDNA fragment omics liquid biopsy technology based on deep learning, verify the accuracy of the TuFEst model in predicting the tumor burden status of breast cancer lesions and lymph nodes in newly diagnosed breast cancer patients and those receiving neoadjuvant therapy, and provide a theoretical basis for large-scale clinical application in the future
Who can participate
Age range
18 Years – 70 Years
Sex
FEMALE
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
. Patients aged 18 to 70;
. Direct Surgery Group (Cohort 1) : Radical surgery was performed without neoadjuvant therapy;
. Neoadjuvant therapy group (Cohort 2) : The initial diagnosis was invasive breast cancer with confirmed axillary lymph node metastasis, and the patient was willing to undergo radical surgery at the end of treatment;
. Plasma from patients during treatment can be obtained;
. Be willing to sign the informed consent form. -
Exclusion criteria
. Be pregnant or breastfeeding;
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
Negative predictive value (NPV) of the TuFEst-based classifier for predicting pathologic node-negative status (pN0)
Timeframe: up to 2 weeks
Trial details
NCT IDNCT07304934
SponsorSecond Affiliated Hospital, School of Medicine, Zhejiang University