[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100605965":3},{"organization":4,"armGroups":7,"interventions":18,"overallOfficials":10,"centralContacts":23,"locations":29,"responsibleParty":46,"collaborators":10,"id":48,"slug":49,"hasResults":50,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":54,"eligibilityCriteria":55,"healthyVolunteers":50,"sex":56,"minAge":57,"maxAge":10,"enrollmentInfo":58,"targetDuration":10,"studyType":61,"phases":10,"briefSummary":62,"conditions":63,"keywords":64,"overallStatus":32,"whyStopped":10,"lastUpdateSubmitDate":69,"lastUpdatePostDateStruct":70,"startDateStruct":73,"completionDateStruct":75,"leadSponsor":77,"locationsCount":78},{"fullName":5,"class":6},"Azienda USL Reggio Emilia - IRCCS","OTHER_GOV",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Ovarian Cancer",null,"Participants with high-grade serous ovarian carcinoma (HGSOC) or other rare epithelial ovarian tumor subtypes (e.g., mucinous, endometrioid, clear cell, mesonephric-like). Includes both prospectively enrolled patients and retrospectively collected samples. Purpose: to analyze gene and protein expression profiles in tumor tissues and compare them with normal ovarian epithelium.",[13],"Other: RNA extraction and gene expression",{"label":15,"type":10,"description":16,"interventionNames":17},"Control group","Patients undergoing surgery for benign gynecological conditions, from whom non-tumoral ovarian epithelial tissue is obtained. Purpose: to provide baseline biological controls for comparison with ovarian cancer samples.",[13],[19],{"type":20,"name":21,"description":21,"armGroupLabels":22,"otherNames":10},"OTHER","RNA extraction and gene expression",[15,9],[24],{"name":25,"role":26,"phone":27,"phoneExt":10,"email":28},"Beatrice Melli, MD","CONTACT","0522-29577","beatrice.melli@ausl.re.it",[30],{"facility":31,"status":32,"city":33,"state":10,"zip":10,"country":34,"countryCode":35,"cosmosGeoPoint":36,"geoPoint":41,"contacts":42},"Azienda USL IRCCS di Reggio Emilia","RECRUITING","Reggio Emilia","Italy","IT",{"type":37,"coordinates":38},"Point",[39,40],10.63125,44.69825,{"lat":40,"lon":39},[43],{"name":44,"role":26,"phone":10,"phoneExt":10,"email":45},"Jasmine Lonetti","jasmine.lonetti@ausl.re.it",{"type":47,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100605965","identifying-genetic-targets-in-gynecological-tumors-100605965",false,"NCT07169396","Identifying Genetic Targets in Gynecological Tumors","Identification of Genetic Targets in Gynecological Tumors Via a Triple in Silico Ex-vivo \u002F in Vivo Approach","GEN_EXP_CO2021","Inclusion Criteria:\n\n* Adult women ≥18 years old\n* Histologically confirmed diagnosis of epithelial ovarian cancer (including high- grade serous, endometrioid, mucinous, clear cell, or mesonephric-like histotypes)\n* Signed informed consent (for prospective cases) or ethically approved waiver (for retrospective samples)\n\nExclusion Criteria:\n\n* Refusal to sign informed consent\n* Diagnosis of low-grade or non-epithelial ovarian tumors\n* Patients whose clinical or pathological data are unavailable or insufficient for study inclusion","FEMALE","18 Years",{"count":59,"type":60},180,"ESTIMATED","OBSERVATIONAL","This observational study aims to identfy genetic targets involved in the pathogenesis of gynecological tumors, with a focus on high-grade serous ovarian carcinoma. Using a triple approach - in silico, ex vivo and in vitro - the study will investigate the role of gonadotropins and their related signaling pathways in the epithelial ovarian cancers. Gene and protein expression levels will be evaluated through transcriptomic analysis, immunohistochemistry and functional assays on tumor cell lines. The goal is to uncover potential diagnostic or therapeutic targets in gynecological malignancies.",[9],[65,66,67,68],"gene expression","high-grade serous carcinoma","molecular oncology","tumor biomarkers","2025-09-09",{"date":71,"type":72},"2025-09-11","ACTUAL",{"date":74,"type":72},"2021-11-17",{"date":76,"type":60},"2027-11",{"name":5,"class":6},1]