Clinical Translation Research on a Multi-omics Breast Cancer Distant Metastasis Prediction Model Empowered by Artificial Intelligence
Recruiting · NCT07252986 · Observational (researchers observe without assigning treatment) · Lead sponsor: Second Affiliated Hospital, Zhejiang University, School of Medicine
View the official record on ClinicalTrials.gov →What this trial is 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.
Who can take part
Age range
No age limits stated
Sex
Female
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)
Inclusion criteria
- Female patients pathologically diagnosed with breast cancer at our hospital or participating centers between January 1, 2000, and December 30, 2028.
- 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
- Concomitant metastatic malignancy from another primary cancer.
- Incomplete clinical information.
Where it is running
1 location listed.
- The Second Affiliated Hospital, Zhejiang University School of Medicine - Hangzhou, Zhejiang, China