Evidence map›Paper›PMID 38849726›Full record

Observational studyBMC cancer2024

The OVAREX study: Establishment of ex vivo ovarian cancer models to validate innovative therapies and to identify predictive biomarkers.

Lucie Thorel, Jordane Divoux, Justine Lequesne, Guillaume Babin, Pierre-Marie Morice, Romane Florent, Guillaume Desmartin, Lucie Lecouflet, Chloé Marde Alagama, Alexandra Leconte and 18 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03831230 (Constitution of ex Vivo Ovarian Tumor Models for the Validation of the Interest of Innovative Therapies and the Search for Tumor or Circulating Biomarkers Predictive of Treatment Response), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03831230 completednot on this map

Constitution of ex Vivo Ovarian Tumor Models for the Validation of the Interest of Innovative Therapies and the Search for Tumor or Circulating Biomarkers Predictive of Treatment Response

TypeobservationalSponsorCentre Francois BaclesseRan2019 to 2025Enrolled250ConditionsOvarian CancerArmscollection of blood, urine, tumor and ascite samples
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. LncRNANon-coding RNA research · 2025
    Article
  7. Review
  8. Article
  9. Cancer of the ovary, fallopian tube, and peritoneum: 2025 update.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Review
  10. Observational
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Lucie ThorelINSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France.
Jordane DivouxINSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France.
Justine LequesneClinical Research Department, Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
Guillaume BabinINSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France.
Pierre-Marie MoriceINSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France.
Romane FlorentINSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France.
Guillaume DesmartinComprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
Lucie LecoufletComprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
Chloé Marde AlagamaINSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France.
Alexandra LeconteClinical Research Department, Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
Bénédicte ClarisseClinical Research Department, Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
Mélanie BriandINSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France.
Roman RouzierDepartment of Surgery, Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
Léopold GaichiesDepartment of Surgery, Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
Sandrine Martin-FrançoiseDepartment of Surgery, Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
Jean-François Le BrunDepartment of Surgery, Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
Christophe DenoyelleINSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France.
Nicolas VigneronINSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France.
Corinne JeanneDepartment of Pathology, Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
Cécile Blanc-FournierINSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France.
Raphaël LemanDepartment of Cancer Biology and Genetics, U1245 "Cancer and Brain Genomics", Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
Dominique VaurDepartment of Cancer Biology and Genetics, U1245 "Cancer and Brain Genomics", Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
Martin FigeacUS 41 - UAR 2014 - PLBS, University of Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, Lille, France.
Matthieu Meryet-FiguiereINSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France.
Florence JolyClinical Research Department, Comprehensive Cancer Center François Baclesse, UNICANCER, Caen, France.
Louis-Bastien WeiswaldINSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France. lb.weiswald@baclesse.unicancer.fr.
Laurent Poulain *INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France. l.poulain@baclesse.unicancer.fr.
Enora Dolivet *INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, Caen, France. e.dolivet@baclesse.unicancer.fr.

Funding

Canceropole Nord-Ouest, France ORGRAFTFondation ARC pour la Recherche sur le Cancer PJA20191209649Fondation de l'Avenir AP-RM-19-020Région Normandie ORGATHEREX
6 · The paper itself

Abstract

backgroundOvarian cancer is the first cause of death from gynecological malignancies mainly due to development of chemoresistance. Despite the emergence of PARP inhibitors, which have revolutionized the therapeutic management of some of these ovarian cancers, the 5-year overall survival rate remains around 45%. Therefore, it is crucial to develop new therapeutic strategies, to identify predictive biomarkers and to predict the response to treatments. In this context, functional assays based on patient-derived tumor models could constitute helpful and relevant tools for identifying efficient therapies or to guide clinical decision making.

methodThe OVAREX study is a single-center non-interventional study which aims at investigating the feasibility of establishing in vivo and ex vivo models and testing ex vivo models to predict clinical response of ovarian cancer patients. Patient-Derived Xenografts (PDX) will be established from tumor fragments engrafted subcutaneously into immunocompromised mice. Explants will be generated by slicing tumor tissues and Ascites-Derived Spheroids (ADS) will be isolated following filtration of ascites. Patient-derived tumor organoids (PDTO) will be established after dissociation of tumor tissues or ADS, cell embedding into extracellular matrix and culture in specific medium. Molecular and histological characterizations will be performed to compare tumor of origin and paired models. Response of ex vivo tumor-derived models to conventional chemotherapy and PARP inhibitors will be assessed and compared to results of companion diagnostic test and/or to the patient's response to evaluate their predictive value. DISCUSSION: This clinical study aims at generating PDX and ex vivo models (PDTO, ADS, and explants) from tumors or ascites of ovarian cancer patients who will undergo surgical procedure or paracentesis. We aim at demonstrating the predictive value of ex vivo models for their potential use in routine clinical practice as part of precision medicine, as well as establishing a collection of relevant ovarian cancer models that will be useful for the evaluation of future innovative therapies.

trial registrationThe clinical trial has been validated by local research ethic committee on January 25th 2019 and registered at ClinicalTrials.gov with the identifier NCT03831230 on January 28th 2019, last amendment v4 accepted on July 18, 2023.

Indexed as

Biomarkers, TumorOvarian NeoplasmsXenograft Model Antitumor AssaysAnimalsDisease Models, AnimalFemaleHumansMiceOrganoidsTherapies, InvestigationalBiomarkers, TumorExplantsOvarian cancerPatient-derived tumor organoidsPatient-derived tumor xenograftsPredictive functional assays.Spheroids

Identifiers

PMID38849726
PMCPMC11157894

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.