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Trial Title: Diagnostic Biomarkers Exploration of Breast Cancer From Serum and Urine

NCT ID: NCT06102018

Condition: Breast Neoplasm Female

Conditions: Official terms:
Breast Neoplasms

Conditions: Keywords:
Serum and Urine Biomarkers,Machine Learning,Diagnostic Model

Study type: Observational

Overall status: Recruiting

Study design:

Time perspective: Prospective

Intervention:

Intervention type: Diagnostic Test
Intervention name: Collect blood and urine,pathological specimens if necessary
Description: Use EDTA anticoagulant pipe to collect all blood 2ml, and collect 3ml of urine with sterile test tube
Arm group label: Breast cancer patients
Arm group label: Healthy population
Arm group label: Patients with benign breast lesions

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.

Criteria for eligibility:

Study pop:
early breast cancer(Tis,T1-3N0-1M0)

Sampling method: Non-Probability Sample
Criteria:
Inclusion Criteria: 1. Signing the consent of informedness; 2. Patients with breast mass who need surgery after examination; 3. Cardiac ultrasound indicates that the blood score of the heart is within the normal range; 4. ECOG≤0-2 points; 5. Oversure function is acceptable. Exclusion Criteria: 1. Merge other malignant tumors such as gynecologic oncology; 2. After evaluation, the internal organs are not suitable.

Gender: Female

Minimum age: 18 Years

Maximum age: 70 Years

Healthy volunteers: Accepts Healthy Volunteers

Locations:

Facility:
Name: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

Address:
City: Guangzhou
Zip: 510120
Country: China

Status: Recruiting

Contact:
Last name: Jieqiong Liu

Phone: 020-34078091
Email: liujieqiong01@163.com

Start date: June 22, 2022

Completion date: July 1, 2024

Lead sponsor:
Agency: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Agency class: Other

Source: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

Record processing date: ClinicalTrials.gov processed this data on November 12, 2024

Source: ClinicalTrials.gov page: https://clinicaltrials.gov/ct2/show/NCT06102018

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