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

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexFemale
AgeNot listed
SponsorSecond Affiliated Hospital, School of Medicine, Zhejiang University

About this trial

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 criteria

Qualifiers

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.

Disqualifiers

Concomitant metastatic malignancy from another primary cancer.

Incomplete clinical information.

Trial design

Treatments tested in this trial

  • Not listed

Trial groups

2,000 Participants
are grouped into 3 trial groups