[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100575917":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":7,"centralContacts":15,"locations":21,"responsibleParty":38,"collaborators":7,"id":42,"slug":43,"hasResults":44,"nctId":45,"briefTitle":46,"officialTitle":47,"acronym":7,"eligibilityCriteria":48,"healthyVolunteers":44,"sex":49,"minAge":50,"maxAge":51,"enrollmentInfo":52,"targetDuration":55,"studyType":56,"phases":7,"briefSummary":57,"conditions":58,"keywords":63,"overallStatus":24,"whyStopped":7,"lastUpdateSubmitDate":67,"lastUpdatePostDateStruct":68,"startDateStruct":71,"completionDateStruct":73,"leadSponsor":75,"locationsCount":76},{"fullName":5,"class":6},"The First Affiliated Hospital of Guangzhou Medical University","OTHER",null,[9],{"type":6,"name":10,"description":11,"armGroupLabels":7,"otherNames":12},"Using tissue and peripheral blood proteomics to distinguish the benign and malignant nature of lung cancer in patients, as well as to evaluate therapeutic efficacy and long-term prognosis during the t","Peripheral blood samples from enrolled participants will be drawn, or lesion tissues will be obtained through procedures such as biopsy or surgery, followed by quantitative proteomics analysis using mass spectrometry.",[13,14],"Draw peripheral blood","Obtain lesion tissue",[16],{"name":17,"role":18,"phone":19,"phoneExt":7,"email":20},"Jianxing He, Professor","CONTACT","86-20-83337792","drjiaxing.he@gmail.com",[22],{"facility":23,"status":24,"city":25,"state":26,"zip":27,"country":28,"countryCode":29,"cosmosGeoPoint":30,"geoPoint":35,"contacts":36},"the First Affiliated of Guangzhou Medical University","RECRUITING","Guangzhou","Guangdong","510120","China","CN",{"type":31,"coordinates":32},"Point",[33,34],113.25,23.11667,{"lat":34,"lon":33},[37],{"name":17,"role":18,"phone":19,"phoneExt":7,"email":20},{"type":39,"investigatorFullName":40,"investigatorTitle":41,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"PRINCIPAL_INVESTIGATOR","Jianxing He","Professor","100575917","lcprot-proteomics-longitudinal-cohort-study-on-lung-cancer-100575917",false,"NCT06778512","LcProt: Proteomics Longitudinal Cohort Study on Lung Cancer","LcProt: Proteomics Longitudinal Cohort Study on Lung CancerProspective Longitudinal Cohort Study of Lung Cancer Based on Peripheral Blood and Tissue Proteomics","Inclusion Criteria:\n\n1. Signing of the informed consent form;\n2. Male or female, aged 18-75 years;\n3. Patients with lung nodules confirmed by CT examination;\n4. Good preoperative pulmonary function cooperation and complete reporting;\n5. Preoperative chest single\u002Fdual phase CT scans without significant artefacts and with complete imaging;\n6. The interval between preoperative pulmonary function and single\u002Fdual phase CT scans does not exceed one month.\n\nExclusion Criteria:\n\n1. Poor preoperative pulmonary function cooperation or missing reports;\n2. Preoperative chest single\u002Fdual phase CT scans exhibit significant artefacts or image omission;\n3. The interval between preoperative pulmonary function and single\u002Fdual phase CT scans exceeds one month;\n4. Complication with severe respiratory disorders (such as lung transplantation, pneumothorax, giant bullae, etc.);\n5. Coexisting with other severe functional impairments;\n6. Patients with obstructive lesions such as airway or esophageal stenosis;\n\n(8) Medication use before pulmonary function testing that does not meet the cessation guidelines; (9) Pulmonary function report quality graded D-F.","ALL","18 Years","75 Years",{"count":53,"type":54},2500,"ESTIMATED","5 Years","OBSERVATIONAL","This study will utilize tissue and peripheral blood samples for proteomics analysis and establish a longitudinal proteomics cohort at multiple critical treatment time points to explore the research value of proteomics in the diagnosis and treatment of lung cancer. The study includes key time points such as screening, postoperative efficacy prediction, and efficacy prediction after medication.",[59,60,61,62],"Lung","Lung Cancer","Cancer","NSCLC",[64,65,66,62],"Lung cancer","Proteomics","Protein","2025-01-12",{"date":69,"type":70},"2025-01-16","ACTUAL",{"date":72,"type":70},"2019-06-01",{"date":74,"type":54},"2026-12",{"name":5,"class":6},1]