Creating a model to monitor residual breast cancer after surgery using blood samples
Exploratory Research on Constructing a Computational Biological Model Based on Next Generation Sequencing Technology for Monitoring Measurable Residual Disease (MRD) After Breast Cancer Surgery
Second Affiliated Hospital, School of Medicine, Zhejiang University · NCT06595966
This study is testing if analyzing blood samples can help monitor leftover breast cancer after surgery in patients over three years.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 80 (estimated) |
| Ages | 18 Years and up |
| Sex | Female |
| Sponsor | Second Affiliated Hospital, School of Medicine, Zhejiang University (other) |
| Locations | 1 site (Hangzhou, Zhejiang) |
| Trial ID | NCT06595966 on ClinicalTrials.gov |
What this trial studies
This observational study involves 80 participants who have undergone radical breast cancer surgery. Blood samples will be collected at various intervals over a three-year follow-up period to analyze changes in circulating free DNA (cfDNA) associated with measurable residual disease (MRD). The goal is to establish a computational biological model using next-generation sequencing to enhance monitoring of MRD in breast cancer patients post-surgery. Traditional monitoring methods will also be evaluated alongside cfDNA analysis.
Who should consider this trial
Good fit: Ideal candidates are adults aged 18 and older who have undergone radical resection for primary breast cancer and can commit to a three-year follow-up.
Not a fit: Patients who are pregnant, breastfeeding, or have serious mental illness or drug abuse issues may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to more accurate monitoring of residual breast cancer, potentially improving patient outcomes.
How similar studies have performed: While similar approaches using cfDNA for cancer monitoring have shown promise, this specific model is novel and has not been extensively tested.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * 1\. Age ≥ 18 years old, gender not limited; 2. Obtain plasma samples from the subjects during a 3-year follow-up period; 3. The subjects fully understand the study and voluntarily sign the informed consent form; 4. Able to cooperate with a 3-year follow-up visit to the hospital; 5. The physical fitness status score (ZPS) of the ECOG scoring criteria for the subjects must be ≤ 1; 6. Life expectancy ≥ 5 years; 7. Subjects who meet the following criteria: 1. Histopathology confirmed primary breast cancer (unlimited molecular type); 2. Radical breast cancer resection is expected; 3. Adopting postoperative adjuvant therapy or preoperative neoadjuvant therapy; Exclusion Criteria: * 1\. The subject is pregnant or breastfeeding; 2. Serious mental illness or drug abuse; 3. Unable to obtain the subject\'s plasma during this period; 4. If the subject has a non primary malignant tumor of the breast with a clear pathological diagnosis within 5 years before enrollment: 5. If the subject has suspected non breast malignant tumors (such as B-ultrasound, CT, etc.) on imaging within the past year of enrollment, but without pathological confirmation; 6. Clinical suspicion of distant metastatic lesions; 7. The subject has received any blood product infusion therapy within the past 30 days; 8. Known carriers of pathogenic genetic mutations;
Where this trial is running
Hangzhou, Zhejiang
- The Second Affiliated Hospital of Zhejiang University — Hangzhou, Zhejiang, China (RECRUITING)
Study contacts
- Study coordinator: Chao Ni, professor
- Email: nicaho428@zju.edu.cn
- Phone: +8613989463951
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Breast Cancer, Measurable Residual Disease