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Screening for Breast Cancer Assisted by Plasma Exosomal Small RNAs and Machine Learning Modeling

Screening for Breast Cancer Assisted by Plasma Exosomal Small RNAs and Machine Learning Modeling

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500107002
Enrollment
Unknown
Registered
2025-08-01
Start date
2024-11-10
Completion date
Unknown
Last updated
2025-08-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Cancer

Interventions

Gold Standard:Pathological diagnosis results of breast tumor puncture
Index test:Detection of expression levels of three key plasma exosomal miRNAs in breast cancer

Sponsors

Beijing Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Female patients aged >=18 years; 2.Outpatients with breast ultrasound findings categorized as BI-RADS 3-5 breast lesions (benign/malignant); 3. Patients who underwent biopsy of breast lesions during outpatient visits or hospitalization, with definitive pathological diagnosis results;

Exclusion criteria

Exclusion criteria: 1. Male; 2. Pregnant; 3. Subjects without a definitive pathological diagnosis; 4. Patients with stage IV breast cancer with distant metastases; Patients with concurrent or other malignancies diagnosed within one year;

Design outcomes

Primary

MeasureTime frame
Plasma exosomal miR-27a-3p;Plasma exosomal miR-144-3p;Plasma exosomal miR-192-5p;

Countries

China

Contacts

Public ContactYang Xin

Beijing Hospital

yangx1989@hotmail.com+86 188 0140 4698

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026