[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100612392":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":18,"locations":24,"responsibleParty":44,"collaborators":10,"id":47,"slug":48,"hasResults":49,"nctId":50,"briefTitle":51,"officialTitle":52,"acronym":53,"eligibilityCriteria":54,"healthyVolunteers":49,"sex":55,"minAge":10,"maxAge":10,"enrollmentInfo":56,"targetDuration":10,"studyType":59,"phases":10,"briefSummary":60,"conditions":61,"keywords":10,"overallStatus":27,"whyStopped":10,"lastUpdateSubmitDate":65,"lastUpdatePostDateStruct":66,"startDateStruct":69,"completionDateStruct":71,"leadSponsor":73,"locationsCount":74},{"fullName":5,"class":6},"Second Affiliated Hospital, School of Medicine, Zhejiang University","OTHER",[8,12,15],{"label":9,"type":10,"description":11,"interventionNames":10},"Group 1",null,"Metastatic Risk Stratification (High\u002FMedium\u002FLow Risk)",{"label":13,"type":10,"description":14,"interventionNames":10},"Group 2","Organ-Specific Metastasis (Bone\u002FLung\u002FLiver\u002FBrain)",{"label":16,"type":10,"description":17,"interventionNames":10},"Group 3","Non-Metastatic Control Group",[19],{"name":20,"role":21,"phone":22,"phoneExt":10,"email":23},"Fengbo Huang, MD","CONTACT","0571-87783914","keyanlunli_zheer@163.com",[25],{"facility":26,"status":27,"city":28,"state":29,"zip":30,"country":31,"countryCode":32,"cosmosGeoPoint":33,"geoPoint":38,"contacts":39},"The Second Affiliated Hospital, Zhejiang University School of Medicine","RECRUITING","Hangzhou","Zhejiang","310000","China","CN",{"type":34,"coordinates":35},"Point",[36,37],120.16142,30.29365,{"lat":37,"lon":36},[40,41],{"name":20,"role":21,"phone":22,"phoneExt":10,"email":23},{"name":42,"role":43,"phone":10,"phoneExt":10,"email":10},"Jian Huang, MD, PhD","PRINCIPAL_INVESTIGATOR",{"type":43,"investigatorFullName":45,"investigatorTitle":46,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Jian Huang","Head of Breast Surgery Department","100612392","clinical-translation-research-on-a-multi-omics-breast-cancer-distant-metastasis-prediction-model-empowered-by-artificial-intelligence-100612392",false,"NCT07252986","Clinical Translation Research on a Multi-omics Breast Cancer Distant Metastasis Prediction Model Empowered by Artificial Intelligence","A Multi-omics Breast Cancer Distant Metastasis Prediction Model Empowered by Artificial Intelligence and Its Clinical Translation Research","COMPASS-BC","Inclusion Criteria:\n\n1. Female patients pathologically diagnosed with breast cancer at our hospital or participating centers between January 1, 2000, and December 30, 2028.\n2. 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.\n\nExclusion Criteria:\n\n1. Concomitant metastatic malignancy from another primary cancer.\n2. Incomplete clinical information.","FEMALE",{"count":57,"type":58},2000,"ESTIMATED","OBSERVATIONAL","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.",[62,63,64],"Breast","Breast Cancer","Pathology","2026-02-27",{"date":67,"type":68},"2026-03-03","ACTUAL",{"date":70,"type":68},"2025-12-01",{"date":72,"type":58},"2028-12-30",{"name":5,"class":6},1]