Diagnostic Biomarkers Exploration of Breast Cancer From Serum and Urine
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.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Jieqiong Liu Ph.D.
- Phone Number: 13922272706
- Email: liujieqiong01@163.com
Study Locations
-
-
Guangdong
-
Guangzhou, Guangdong, China, 510120
- Recruiting
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
-
Contact:
- Jieqiong Liu
- Phone Number: 020-34078091
- Email: liujieqiong01@163.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- 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.
Exclusion Criteria:
- Merge other malignant tumors such as gynecologic oncology;
- After evaluation, the internal organs are not suitable.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Breast cancer patients
No intervention.
The patients who are diagnosed as breast cancer by postoperative pathological.
|
Use EDTA anticoagulant pipe to collect all blood 2ml, and collect 3ml of urine with sterile test tube
|
|
Patients with benign breast lesions
No intervention.
The patients who are diagnosed asbenign breast lesions by postoperative pathological.
|
Use EDTA anticoagulant pipe to collect all blood 2ml, and collect 3ml of urine with sterile test tube
|
|
Healthy population
No intervention.
The volunteers.
|
Use EDTA anticoagulant pipe to collect all blood 2ml, and collect 3ml of urine with sterile test tube
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The different biomarkers in malignant and benign breast diseases
Time Frame: It is expected to be one to two years.
|
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
Time Frame: Within half a year after the completion of the test.
|
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.
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- SYSKY-2022-149-02
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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