NCT06102018

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

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
150

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Jun 2022

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
unknown

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

Completed
11 months until next milestone

First Submitted

Initial submission to the registry

May 9, 2023

Completed
6 months until next milestone

First Posted

Study publicly available on registry

October 26, 2023

Completed
8 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 1, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 1, 2024

Completed
Last Updated

October 26, 2023

Status Verified

October 1, 2023

Enrollment Period

2 years

First QC Date

May 9, 2023

Last Update Submit

October 20, 2023

Conditions

Keywords

Serum and Urine Biomarkers,Machine Learning,Diagnostic Model

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.

Diagnostic Test: Collect blood and urine,pathological specimens if necessary

Patients with benign breast lesions

No intervention. The patients who are diagnosed asbenign breast lesions by postoperative pathological.

Diagnostic Test: Collect blood and urine,pathological specimens if necessary

Healthy population

No intervention. The volunteers.

Diagnostic Test: Collect blood and urine,pathological specimens if necessary

Interventions

Use EDTA anticoagulant pipe to collect all blood 2ml, and collect 3ml of urine with sterile test tube

Breast cancer patientsHealthy populationPatients with benign breast lesions

Eligibility Criteria

Age18 Years - 70 Years
Sexfemale
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

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

RECRUITING

Biospecimen

Retention: SAMPLES WITH DNA

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

Jieqiong Liu Ph.D.

CONTACT

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

Locations