Diagnostic Biomarkers Exploration of Breast Cancer From Serum and Urine
1 other identifier
observational
150
1 country
1
Brief Summary
The goal of this observational study is to find the diagnostic biomarkers in serum and urine from early breast cancer patients. The main questions it aims to answer are:
- compare the different biomarkers in serum and urine from breast cancer patients, benign lesions and healthy population.
- construct the best diagnostic model by machine learning to distinguish breast cancer and non-breast cancer patients. Participants, including breast and non-breast cancer patients will be asked to provides blood and urine during their diagnosis and treatment process without changing the original treatment. When necessary, specimens will be collected during the surgery,without affecting pathological diagnosis.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jun 2022
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 22, 2022
CompletedFirst Submitted
Initial submission to the registry
May 9, 2023
CompletedFirst Posted
Study publicly available on registry
October 26, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2024
CompletedOctober 26, 2023
October 1, 2023
2 years
May 9, 2023
October 20, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
The different biomarkers in malignant and benign breast diseases
By analyzing the differences (eg:PCA, FC and et al.)in the composition of proteins in blood and urine, biomarkers with significant differences between the two groups will be obtained.
It is expected to be one to two years.
Diagnostic models used different biomarkers by machine learning
Using biomarkers that detect discrepancies, combined with machine learning to build early breast cancer diagnostic models.
Within half a year after the completion of the test.
Study Arms (3)
Breast cancer patients
No intervention. The patients who are diagnosed as breast cancer by postoperative pathological.
Patients with benign breast lesions
No intervention. The patients who are diagnosed asbenign breast lesions by postoperative pathological.
Healthy population
No intervention. The volunteers.
Interventions
Use EDTA anticoagulant pipe to collect all blood 2ml, and collect 3ml of urine with sterile test tube
Eligibility Criteria
early breast cancer(Tis,T1-3N0-1M0)
You may qualify if:
- Signing the consent of informedness;
- Patients with breast mass who need surgery after examination;
- Cardiac ultrasound indicates that the blood score of the heart is within the normal range;
- ECOG≤0-2 points;
- Oversure function is acceptable.
You may not qualify if:
- Merge other malignant tumors such as gynecologic oncology;
- After evaluation, the internal organs are not suitable.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Guangzhou, Guangdong, 510120, China
Biospecimen
The blood sample contains DNA, but the measurement does not involve DNA. Once the project is complete, the sample will be properly disposed.
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 9, 2023
First Posted
October 26, 2023
Study Start
June 22, 2022
Primary Completion
July 1, 2024
Study Completion
July 1, 2024
Last Updated
October 26, 2023
Record last verified: 2023-10