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

Zhejiang University

Status: Not yet enrolling

Conditions: Breast Cancer; Breast; Pathology

Study type: Observational

Funder types: Other

Identifiers

NCT07252986

2025-COMPASS-BC (Other Identifier)

Details and patient eligibility

About

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.

Enrollment: 2,000 estimated patients

Sex: Female

Volunteers: No 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.

Trial design

2,000 participants in 3 patient groups

Group 1

Description:

Metastatic Risk Stratification (High/Medium/Low Risk)

Group 2

Description:

Organ-Specific Metastasis (Bone/Lung/Liver/Brain)

Group 3

Description:

Non-Metastatic Control Group