Clinical Translation Research on a Multi-omics Breast Cancer Distant Metastasis Prediction Model Empowered by Artificial Intelligence

NCT07252986 · tracked via the Priya Life Science China tracker

Sponsor

Second Affiliated Hospital, Zhejiang University, School of Medicine

Phase

Observational

Started

2025-12-01

Last updated

2026-03-03

Condition(s) studied

BreastBreast CancerPathology

Study summary

Breast cancer is one of the most common malignancies in women worldwide, and distant metastasis is the main cause of poor prognosis and death. This project aims to construct a precision prediction system based on multi-omics (digital pathology, immunohistochemistry, proteomics, gene sequencing) and artificial intelligence to predict distant and organ-specific metastasis (bone, lung, liver, brain) in breast cancer, analyze its mechanisms, and provide new solutions for precision medicine.

Eligibility

Sex

FEMALE

Min age

—

Max age

—

Healthy volunteers

Inclusion Criteria: 1. Female patients pathologically diagnosed with breast cancer at our hospital or participating centers between January 1, 2000, and December 30, 2028. 2. Must meet one of the following: 1) Initially diagnosed with breast cancer at our hospital, has developed distant metastasis (liver, bone, lung, or brain), and has a biopsy or surgical specimen from the metastatic site stored at our hospital, with complete clinical information available. 2) Primary tumor specimen is not at our hospital, but a biopsy or surgical specimen from a distant metastatic site (liver, bone, lung, brain) is stored at our hospital. Exclusion Criteria: 1. Concomitant metastatic malignancy from another primary cancer. 2. Incomplete clinical information.

Primary outcome measure(s)

Metastasis-Free Survival — From diagnosis up to December 30, 2028
Time from initial breast cancer diagnosis to the occurrence of distant metastasis.

Trial sites (1)

Facility	City	Region	Status
The Second Affiliated Hospital, Zhejiang University School of Medicine	Hangzhou	Zhejiang	Recruiting

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Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT07252986 on ClinicalTrials.gov ↗ ← All trials in China