[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100554181":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":18,"locations":24,"responsibleParty":44,"collaborators":48,"id":53,"slug":54,"hasResults":55,"nctId":56,"briefTitle":57,"officialTitle":57,"acronym":10,"eligibilityCriteria":58,"healthyVolunteers":59,"sex":60,"minAge":10,"maxAge":10,"enrollmentInfo":61,"targetDuration":10,"studyType":64,"phases":10,"briefSummary":65,"conditions":66,"keywords":68,"overallStatus":73,"whyStopped":10,"lastUpdateSubmitDate":74,"lastUpdatePostDateStruct":75,"startDateStruct":78,"completionDateStruct":80,"leadSponsor":82,"locationsCount":83},{"fullName":5,"class":6},"Zhejiang University","OTHER",[8,12,15],{"label":9,"type":10,"description":11,"interventionNames":10},"Pancreatic Cancer",null,"The patient is diagnosed with pancreatic cancer for the first time and has not received any tumor treatment.",{"label":13,"type":10,"description":14,"interventionNames":10},"Benign Pancreatic Diseases","The patient is diagnosed with a benign pancreatic disease ，such as SCN、MCN、IPMN.and has not undergone any treatment.",{"label":16,"type":10,"description":17,"interventionNames":10},"Healthy controls","A healthy population without any pancreatic-related diseases or other cancers.",[19],{"name":20,"role":21,"phone":22,"phoneExt":10,"email":23},"Qi Zhang, Associate professor","CONTACT","13819137113","qi.zhang@zju.edu.cn",[25,38],{"facility":26,"status":10,"city":27,"state":28,"zip":29,"country":30,"countryCode":31,"cosmosGeoPoint":32,"geoPoint":37,"contacts":10},"First Affiliated Hospital, Medical College of Zhejiang University","Hangzhou","Zhejiang","310003","China","CN",{"type":33,"coordinates":34},"Point",[35,36],120.16142,30.29365,{"lat":36,"lon":35},{"facility":39,"status":10,"city":27,"state":28,"zip":40,"country":30,"countryCode":31,"cosmosGeoPoint":41,"geoPoint":43,"contacts":10},"the First Affiliated Hospital, School of Medicine, Zhejiang University","310009",{"type":33,"coordinates":42},[35,36],{"lat":36,"lon":35},{"type":45,"investigatorFullName":46,"investigatorTitle":47,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","TingBo Liang","Professor",[49,51],{"name":50,"class":6},"The Affiliated Hospital of the Chinese Academy of Military Medical Sciences",{"name":52,"class":6},"Nanjing Medical University","100554181","early-diagnosis-of-pancreatic-cancer-via-deciphering-multi-modal-immunological-signatures-100554181",false,"NCT06495749","Early Diagnosis of Pancreatic Cancer Via Deciphering Multi-modal Immunological Signatures","Inclusion Criteria:\n\n* Sign the informed consent form;\n* Initial diagnosis as patients with pancreatic cancer, patients with benign pancreatic lesions, or healthy controls.\n\nExclusion Criteria:\n\n* History of other malignancies;\n* Presence of organ dysfunction;\n* Concurrent immunodeficiency syndrome, active tuberculosis, HIV infection, etc.;\n* Allogeneic transplantation requiring immunosuppressive therapy;\n* Poor follow-up compliance.",true,"ALL",{"count":62,"type":63},3000,"ESTIMATED","OBSERVATIONAL","Prospective inclusion of 1000 patients with pancreatic cancer (early-stage pancreatic cancer accounts for approximately 75% of cases), 1000 patients with benign pancreatic diseases, and 1000 healthy individuals as controls. Peripheral blood samples were collected from newly diagnosed pancreatic cancer patients and healthy individuals. Using techniques such as plasma TCR\u002FBCR-seq, CyTOF, and plasma proteomics, multi-modal individual immune characteristics were obtained and analyzed along with clinical information. An artificial intelligence predictive model was built based on these multi-modal individual immune characteristics to establish an early screening technique for pancreatic cancer. The sensitivity and specificity of this artificial intelligence model for early pancreatic cancer diagnosis were evaluated using an external multicenter sample test set.",[67],"Pancreatic Cancer Resectable",[69,70,71,72],"Early diagnosis","Pancreatic cancer","Artificial intelligence","Immunity decoding","NOT_YET_RECRUITING","2024-07-15",{"date":76,"type":77},"2024-07-16","ACTUAL",{"date":79,"type":63},"2024-08-01",{"date":81,"type":63},"2027-12-31",{"name":5,"class":6},2]