Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D010051', 'term': 'Ovarian Neoplasms'}], 'ancestors': [{'id': 'D004701', 'term': 'Endocrine Gland Neoplasms'}, {'id': 'D009371', 'term': 'Neoplasms by Site'}, {'id': 'D009369', 'term': 'Neoplasms'}, {'id': 'D010049', 'term': 'Ovarian Diseases'}, {'id': 'D000291', 'term': 'Adnexal Diseases'}, {'id': 'D005831', 'term': 'Genital Diseases, Female'}, {'id': 'D052776', 'term': 'Female Urogenital Diseases'}, {'id': 'D005261', 'term': 'Female Urogenital Diseases and Pregnancy Complications'}, {'id': 'D000091642', 'term': 'Urogenital Diseases'}, {'id': 'D005833', 'term': 'Genital Neoplasms, Female'}, {'id': 'D014565', 'term': 'Urogenital Neoplasms'}, {'id': 'D000091662', 'term': 'Genital Diseases'}, {'id': 'D004700', 'term': 'Endocrine System Diseases'}, {'id': 'D006058', 'term': 'Gonadal Disorders'}]}, 'interventionBrowseModule': {'meshes': [{'id': 'D001800', 'term': 'Blood Specimen Collection'}, {'id': 'D006650', 'term': 'Histocompatibility Testing'}], 'ancestors': [{'id': 'D013048', 'term': 'Specimen Handling'}, {'id': 'D019411', 'term': 'Clinical Laboratory Techniques'}, {'id': 'D019937', 'term': 'Diagnostic Techniques and Procedures'}, {'id': 'D003933', 'term': 'Diagnosis'}, {'id': 'D011677', 'term': 'Punctures'}, {'id': 'D013514', 'term': 'Surgical Procedures, Operative'}, {'id': 'D008919', 'term': 'Investigative Techniques'}, {'id': 'D007159', 'term': 'Immunologic Tests'}, {'id': 'D007158', 'term': 'Immunologic Techniques'}]}}, 'protocolSection': {'designModule': {'phases': ['NA'], 'studyType': 'INTERVENTIONAL', 'designInfo': {'allocation': 'NA', 'maskingInfo': {'masking': 'NONE'}, 'primaryPurpose': 'OTHER', 'interventionModel': 'SINGLE_GROUP'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 120}}, 'statusModule': {'overallStatus': 'RECRUITING', 'startDateStruct': {'date': '2023-12-19', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2025-02', 'completionDateStruct': {'date': '2029-10', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2025-02-11', 'studyFirstSubmitDate': '2023-10-02', 'studyFirstSubmitQcDate': '2023-10-10', 'lastUpdatePostDateStruct': {'date': '2025-02-12', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2023-10-16', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2026-10', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'the integration of in vivo and ex vivo of MRI with histology and molecular assessments to advance non-invasive characterization of tumor heterogeneity in high-grade serous ovarian cancer.', 'timeFrame': 'one shoot at the surgery', 'description': 'The diagnostic performance of the radiomic and multiomic algorithm for the characterization of heterogeneity in the CSOHG.'}], 'secondaryOutcomes': [{'measure': 'the imaging phenotype of tumor heterogeneity with a multi-scale radiomic approach by obtaining the image mirror tumor at the in vivo scale', 'timeFrame': 'one shoot at the surgery', 'description': 'Correlation between radiomic maps and pathogenic maps of heterogeneity,'}, {'measure': 'tumor heterogeneity based on phenotypic imaging supported by AI reflects and can predict sub-histologyunderlying by tumor stroma proportion and tumor density infiltrating lymphocytes and genomics through HRD', 'timeFrame': 'one shoot at the surgery', 'description': 'Correlation between radiomic algorithms and i/underlying histology and ii/ genomics'}, {'measure': 'the heterogeneity of the tumor biology of CSOHG through non-invasive habitat imaging combined with an integrated Multi-O-Mics approach.', 'timeFrame': 'one shoot at the surgery', 'description': 'Correlation between radiomic maps and tumor biology (CYTOF, proteomics and transcriptomics),'}, {'measure': 'To Correlate MRI results with hematological molecular biology results.', 'timeFrame': 'one shoot at the surgery', 'description': 'Correlation between radiomic algorithms for tumor detection and cDNA determination.'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['Radiomics', 'Ovarian cancer', 'Genomics', 'Proteomics', 'Immune Tumor Microenvironment'], 'conditions': ['High Grade Serous Ovarian Cancer']}, 'referencesModule': {'references': [{'pmid': '29809280', 'type': 'BACKGROUND', 'citation': 'Torre LA, Trabert B, DeSantis CE, Miller KD, Samimi G, Runowicz CD, Gaudet MM, Jemal A, Siegel RL. Ovarian cancer statistics, 2018. CA Cancer J Clin. 2018 Jul;68(4):284-296. doi: 10.3322/caac.21456. Epub 2018 May 29.'}, {'pmid': '16394300', 'type': 'BACKGROUND', 'citation': 'Armstrong DK, Bundy B, Wenzel L, Huang HQ, Baergen R, Lele S, Copeland LJ, Walker JL, Burger RA; Gynecologic Oncology Group. Intraperitoneal cisplatin and paclitaxel in ovarian cancer. N Engl J Med. 2006 Jan 5;354(1):34-43. doi: 10.1056/NEJMoa052985.'}, {'pmid': '20818904', 'type': 'BACKGROUND', 'citation': 'Vergote I, Trope CG, Amant F, Kristensen GB, Ehlen T, Johnson N, Verheijen RH, van der Burg ME, Lacave AJ, Panici PB, Kenter GG, Casado A, Mendiola C, Coens C, Verleye L, Stuart GC, Pecorelli S, Reed NS; European Organization for Research and Treatment of Cancer-Gynaecological Cancer Group; NCIC Clinical Trials Group. Neoadjuvant chemotherapy or primary surgery in stage IIIC or IV ovarian cancer. 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Epub 2018 May 10.'}, {'pmid': '28841418', 'type': 'BACKGROUND', 'citation': 'Jimenez-Sanchez A, Memon D, Pourpe S, Veeraraghavan H, Li Y, Vargas HA, Gill MB, Park KJ, Zivanovic O, Konner J, Ricca J, Zamarin D, Walther T, Aghajanian C, Wolchok JD, Sala E, Merghoub T, Snyder A, Miller ML. Heterogeneous Tumor-Immune Microenvironments among Differentially Growing Metastases in an Ovarian Cancer Patient. Cell. 2017 Aug 24;170(5):927-938.e20. doi: 10.1016/j.cell.2017.07.025.'}, {'pmid': '32483290', 'type': 'BACKGROUND', 'citation': 'Jimenez-Sanchez A, Cybulska P, Mager KL, Koplev S, Cast O, Couturier DL, Memon D, Selenica P, Nikolovski I, Mazaheri Y, Bykov Y, Geyer FC, Macintyre G, Gavarro LM, Drews RM, Gill MB, Papanastasiou AD, Sosa RE, Soslow RA, Walther T, Shen R, Chi DS, Park KJ, Hollmann T, Reis-Filho JS, Markowetz F, Beltrao P, Vargas HA, Zamarin D, Brenton JD, Snyder A, Weigelt B, Sala E, Miller ML. Unraveling tumor-immune heterogeneity in advanced ovarian cancer uncovers immunogenic effect of chemotherapy. Nat Genet. 2020 Jun;52(6):582-593. doi: 10.1038/s41588-020-0630-5. Epub 2020 Jun 1.'}, {'pmid': '28250960', 'type': 'BACKGROUND', 'citation': 'Frey MK, Pothuri B. Homologous recombination deficiency (HRD) testing in ovarian cancer clinical practice: a review of the literature. Gynecol Oncol Res Pract. 2017 Feb 22;4:4. doi: 10.1186/s40661-017-0039-8. eCollection 2017.'}, {'pmid': '28601728', 'type': 'BACKGROUND', 'citation': 'Yildirim N, Akman L, Acar K, Demir S, Ozkan S, Alan N, Zekioglu O, Terek MC, Ozdemir N, Ozsaran A. Do tumor-infiltrating lymphocytes really indicate favorable prognosis in epithelial ovarian cancer? Eur J Obstet Gynecol Reprod Biol. 2017 Aug;215:55-61. doi: 10.1016/j.ejogrb.2017.06.005. Epub 2017 Jun 4.'}, {'pmid': '29049607', 'type': 'BACKGROUND', 'citation': 'Ovarian Tumor Tissue Analysis (OTTA) Consortium; Goode EL, Block MS, Kalli KR, Vierkant RA, Chen W, Fogarty ZC, Gentry-Maharaj A, Toloczko A, Hein A, Bouligny AL, Jensen A, Osorio A, Hartkopf A, Ryan A, Chudecka-Glaz A, Magliocco AM, Hartmann A, Jung AY, Gao B, Hernandez BY, Fridley BL, McCauley BM, Kennedy CJ, Wang C, Karpinskyj C, de Sousa CB, Tiezzi DG, Wachter DL, Herpel E, Taran FA, Modugno F, Nelson G, Lubinski J, Menkiszak J, Alsop J, Lester J, Garcia-Donas J, Nation J, Hung J, Palacios J, Rothstein JH, Kelley JL, de Andrade JM, Robles-Diaz L, Intermaggio MP, Widschwendter M, Beckmann MW, Ruebner M, Jimenez-Linan M, Singh N, Oszurek O, Harnett PR, Rambau PF, Sinn P, Wagner P, Ghatage P, Sharma R, Edwards RP, Ness RB, Orsulic S, Brucker SY, Johnatty SE, Longacre TA, Ursula E, McGuire V, Sieh W, Natanzon Y, Li Z, Whittemore AS, Anna A, Staebler A, Karlan BY, Gilks B, Bowtell DD, Hogdall E, Candido dos Reis FJ, Steed H, Campbell IG, Gronwald J, Benitez J, Koziak JM, Chang-Claude J, Moysich KB, Kelemen LE, Cook LS, Goodman MT, Garcia MJ, Fasching PA, Kommoss S, Deen S, Kjaer SK, Menon U, Brenton JD, Pharoah PDP, Chenevix-Trench G, Huntsman DG, Winham SJ, Kobel M, Ramus SJ. 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Epub 2013 Dec 11.'}, {'pmid': '32154773', 'type': 'BACKGROUND', 'citation': 'Zwanenburg A, Vallieres M, Abdalah MA, Aerts HJWL, Andrearczyk V, Apte A, Ashrafinia S, Bakas S, Beukinga RJ, Boellaard R, Bogowicz M, Boldrini L, Buvat I, Cook GJR, Davatzikos C, Depeursinge A, Desseroit MC, Dinapoli N, Dinh CV, Echegaray S, El Naqa I, Fedorov AY, Gatta R, Gillies RJ, Goh V, Gotz M, Guckenberger M, Ha SM, Hatt M, Isensee F, Lambin P, Leger S, Leijenaar RTH, Lenkowicz J, Lippert F, Losnegard A, Maier-Hein KH, Morin O, Muller H, Napel S, Nioche C, Orlhac F, Pati S, Pfaehler EAG, Rahmim A, Rao AUK, Scherer J, Siddique MM, Sijtsema NM, Socarras Fernandez J, Spezi E, Steenbakkers RJHM, Tanadini-Lang S, Thorwarth D, Troost EGC, Upadhaya T, Valentini V, van Dijk LV, van Griethuysen J, van Velden FHP, Whybra P, Richter C, Lock S. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. 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Cancer Res. 2017 Nov 1;77(21):e104-e107. doi: 10.1158/0008-5472.CAN-17-0339.'}, {'pmid': '32914033', 'type': 'BACKGROUND', 'citation': 'Himoto Y, Veeraraghavan H, Zheng J, Zamarin D, Snyder A, Capanu M, Nougaret S, Vargas HA, Shitano F, Callahan M, Wang W, Sala E, Lakhman Y. Computed Tomography-Derived Radiomic Metrics Can Identify Responders to Immunotherapy in Ovarian Cancer. JCO Precis Oncol. 2019 Aug 15;3:PO.19.00038. doi: 10.1200/PO.19.00038. eCollection 2019.'}, {'pmid': '29203879', 'type': 'BACKGROUND', 'citation': 'Bankhead P, Loughrey MB, Fernandez JA, Dombrowski Y, McArt DG, Dunne PD, McQuaid S, Gray RT, Murray LJ, Coleman HG, James JA, Salto-Tellez M, Hamilton PW. QuPath: Open source software for digital pathology image analysis. Sci Rep. 2017 Dec 4;7(1):16878. doi: 10.1038/s41598-017-17204-5.'}, {'pmid': '31921281', 'type': 'BACKGROUND', 'citation': 'Simidjievski N, Bodnar C, Tariq I, Scherer P, Andres Terre H, Shams Z, Jamnik M, Lio P. 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No abstract available.'}]}, 'descriptionModule': {'briefSummary': 'The objective of this study is to explore the integration of in vivo and ex vivo of MRI with histology and molecular assessments to advance non-invasive characterization of tumor heterogeneity in high-grade serous ovarian cance', 'detailedDescription': 'After being informed about the study and potential risks, all patient giving wirtting informed consent.\n\nDuring surgery, tissue and blood samples will be conserved for the study. In this study will be compared images obtained in vivo before surgical management, ex vivo images obtained on excised tissues during surgery, histological data obtained during surgery.'}, 'eligibilityModule': {'sex': 'FEMALE', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '18 Years', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* Patient aged \\>18\n* Pathologically proven HGSOC at an advanced stage (FIGO IIIB or IIIC) which can benefit from surgery with or without prior neoadjuvant treatment\n* Willingness and ability to comply with planned visits, treatment plan, laboratory tests and other study procedures,\n* Patient who has given informed, written and express consent,\n* Patient affiliated with a French health insurance scheme.\n\nExclusion Criteria:\n\n* Early-stage disease (FIGO \\<IIIB) or presence of extraperitoneal metastases,\n* Patient who will not have surgery\n* Patient whose regular follow-up is impossible for psychological, family, social or geographical reasons,\n* Patient under guardianship, curatorship or safeguarding of justice,\n* Pregnant and/or nursing patient,\n* Patient with a history of other cancers within 5 years/10 years prior to inclusion'}, 'identificationModule': {'nctId': 'NCT06084195', 'acronym': 'MR-O-MICS', 'briefTitle': 'Unravelling Tumour Biology In Ovarian Cancer With Precision Imaging', 'organization': {'class': 'OTHER', 'fullName': "Institut du Cancer de Montpellier - Val d'Aurelle"}, 'officialTitle': 'Unravelling Tumour Biology In Ovarian Cancer With Precision Imaging', 'orgStudyIdInfo': {'id': 'PROICM 2023-02 MRO'}}, 'armsInterventionsModule': {'armGroups': [{'type': 'EXPERIMENTAL', 'label': 'Single arm', 'description': 'single arm', 'interventionNames': ['Biological: Blood sample and tissue sample']}], 'interventions': [{'name': 'Blood sample and tissue sample', 'type': 'BIOLOGICAL', 'description': 'During the surgery :\n\n* Tissus sample : primary tumor and metastasis\n* blood sample : 3 EDTA tubes\n* ex vivo MRI data', 'armGroupLabels': ['Single arm']}]}, 'contactsLocationsModule': {'locations': [{'zip': '34298', 'city': 'Montpellier', 'status': 'RECRUITING', 'country': 'France', 'contacts': [{'name': 'NOUGARET Stephanie, MD', 'role': 'CONTACT', 'email': 'stephanie.nougaret@icm.unicancer.fr'}], 'facility': 'NOUGARET Stephanie', 'geoPoint': {'lat': 43.61093, 'lon': 3.87635}}], 'centralContacts': [{'name': 'MOUSSION Aurore', 'role': 'CONTACT', 'email': 'aurore.moussion@icm.unicancer.fr', 'phone': '0467613102', 'phoneExt': '+33'}, {'name': 'Texier Emmanuelle', 'role': 'CONTACT', 'email': 'emmanuelle.texier@icm.unicancer.fr', 'phone': '0467613102', 'phoneExt': '+33'}], 'overallOfficials': [{'name': 'NOUGARET Stephanie, MD', 'role': 'STUDY_DIRECTOR', 'affiliation': 'INSTITUT REGIONAL DU CANCER DE MONTPELLIER Cancer de Montpellier'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': "Institut du Cancer de Montpellier - Val d'Aurelle", 'class': 'OTHER'}, 'responsibleParty': {'type': 'SPONSOR'}}}}