[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100652503":3},{"organization":4,"armGroups":7,"interventions":13,"overallOfficials":10,"centralContacts":18,"locations":24,"responsibleParty":41,"collaborators":10,"id":45,"slug":46,"hasResults":47,"nctId":48,"briefTitle":49,"officialTitle":49,"acronym":10,"eligibilityCriteria":50,"healthyVolunteers":47,"sex":51,"minAge":52,"maxAge":53,"enrollmentInfo":54,"targetDuration":57,"studyType":58,"phases":10,"briefSummary":59,"conditions":60,"keywords":10,"overallStatus":27,"whyStopped":10,"lastUpdateSubmitDate":65,"lastUpdatePostDateStruct":66,"startDateStruct":69,"completionDateStruct":71,"leadSponsor":73,"locationsCount":74},{"fullName":5,"class":6},"Cancer Institute and Hospital, Chinese Academy of Medical Sciences","OTHER",[8],{"label":9,"type":10,"description":10,"interventionNames":11},"The Population in the UPGRADE-TNBC Study（early-stage triple-negative breast cancer）",null,[12],"Other: Collect data",[14],{"type":6,"name":15,"description":16,"armGroupLabels":17,"otherNames":10},"Collect data","Collect multi-source data from patients, including clinical information, radiomics, pathological images, and molecular sequencing",[9],[19],{"name":20,"role":21,"phone":22,"phoneExt":10,"email":23},"Xue Wang","CONTACT","86-010-87787242","wxyxyuki@163.com",[25],{"facility":26,"status":27,"city":28,"state":29,"zip":30,"country":31,"countryCode":32,"cosmosGeoPoint":33,"geoPoint":38,"contacts":39},"Cancer Hospital, Chinese Academy of Medical Sciences","RECRUITING","Beijing","Beijing Municipality","100021","China","CN",{"type":34,"coordinates":35},"Point",[36,37],116.39723,39.9075,{"lat":37,"lon":36},[40],{"name":20,"role":21,"phone":22,"phoneExt":10,"email":23},{"type":42,"investigatorFullName":43,"investigatorTitle":44,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","PENG YUAN","Professor","100652503","establishment-of-a-multi-omics-prediction-model-for-early-triple-negative-breast-cancer-based-on-upgrade-tnbc-study-100652503",false,"NCT07773818","Establishment of a Multi-omics Prediction Model for Early Triple-negative Breast Cancer Based on UPGRADE-TNBC Study","Inclusion Criteria:\n\n* The UPGRADE-TNBC Study Population\n\nExclusion Criteria:\n\n* Populations outside the UPGRADE-TNBC study","FEMALE","18 Years","75 Years",{"count":55,"type":56},32,"ESTIMATED","2 Years","OBSERVATIONAL","Based on the UPGRADE-TNBC study, a high-quality TNBC sample repository was established. By integrating multi-source data-including clinical information, radiomics, pathological images, and molecular sequencing-and innovatively incorporating a meta-learning strategy, a treatment response prediction model based on multimodal small-sample learning was developed. This approach aims to optimize drug combinations and precisely identify patient subgroups likely to benefit from treatment, thereby providing a new paradigm for personalized therapy in early-stage TNBC.",[61,62,63,64],"Triple -Negative Breast Cancertriple","Meta-Learning","Predictive Models","Multimodal","2026-08-16",{"date":67,"type":68},"2026-08-19","ACTUAL",{"date":70,"type":68},"2026-08-06",{"date":72,"type":56},"2029-09-01",{"name":5,"class":6},1]