The TRIPLEX study: use of patient-derived tumor organoids as an innovative tool for precision medicine in triple-negative breast cancer
Jordane Divoux,
Romane Florent,
Margaux Jacobs,
Justine Lequesne,
Jean-Michel Grellard,
Chankannira San,
Sara Grossi,
Katia Kerdja,
Bénédicte Clarisse,
Gwenaelle Boudier,
François Cherifi,
Mélanie Briand,
Enora Dolivet,
Alisson Johnson,
Brice Dubois,
Valentin Harter,
Joëlle Lacroix,
Charlotte Raboutet,
Brigitte Marie,
Nathalie Rousseau,
Cécile Blanc-Fournier,
Dominique Vaur,
Martin Figeac,
Laurent Poulain,
Louis-Bastien Weiswald,
George Emile
Affiliations
Jordane Divoux
INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie
Romane Florent
INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie
Margaux Jacobs
Comprehensive Cancer Center François Baclesse, Breast Cancer Unit, UNICANCER, Institut Normand du Sein
Justine Lequesne
Comprehensive Cancer Center François Baclesse, Clinical Research Department, UNICANCER
Jean-Michel Grellard
Comprehensive Cancer Center François Baclesse, Clinical Research Department, UNICANCER
Chankannira San
Comprehensive Cancer Center François Baclesse, Clinical Research Department, UNICANCER
Sara Grossi
Comprehensive Cancer Center François Baclesse, Clinical Research Department, UNICANCER
Katia Kerdja
Comprehensive Cancer Center François Baclesse, Clinical Research Department, UNICANCER
Bénédicte Clarisse
Comprehensive Cancer Center François Baclesse, Clinical Research Department, UNICANCER
Gwenaelle Boudier
Comprehensive Cancer Center François Baclesse, Clinical Research Department, UNICANCER
François Cherifi
Comprehensive Cancer Center François Baclesse, Breast Cancer Unit, UNICANCER, Institut Normand du Sein
Mélanie Briand
INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie
Enora Dolivet
INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie
Alisson Johnson
Comprehensive Cancer Center François Baclesse, Breast Cancer Unit, UNICANCER, Institut Normand du Sein
Brice Dubois
Comprehensive Cancer Center François Baclesse, North-West Canceropole Data Center, UNICANCER
Valentin Harter
Comprehensive Cancer Center François Baclesse, North-West Canceropole Data Center, UNICANCER
Joëlle Lacroix
Comprehensive Cancer Center François Baclesse, Department of Radiology, UNICANCER
Charlotte Raboutet
Comprehensive Cancer Center François Baclesse, Department of Radiology, UNICANCER
Brigitte Marie
Comprehensive Cancer Center François Baclesse, Department of Radiology, UNICANCER
Nathalie Rousseau
Comprehensive Cancer Center François Baclesse, UNICANCER
Cécile Blanc-Fournier
INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie
Dominique Vaur
Comprehensive Cancer Center François Baclesse, Department of Cancer Biology and Genetics, UNICANCER
Martin Figeac
CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UAR 2014 - PLBS, University of Lille
Laurent Poulain
INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie
Louis-Bastien Weiswald
INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie
George Emile
Comprehensive Cancer Center François Baclesse, Breast Cancer Unit, UNICANCER, Institut Normand du Sein
Abstract Background Triple negative breast cancers (TNBC) account for approximately 15% of all breast cancers and are associated with a shorter median survival mainly due to locally advanced tumor and high risk of metastasis. The current neoadjuvant treatment for TNBC consists of a regimen of immune checkpoint blocker and chemotherapy (chemo-ICB). Despite the frequent use of this combination for TNBC treatment, moderate results are observed and its clinical benefit in TNBC remains difficult to predict. Patient-derived tumor organoids (PDTO) are 3D in vitro cellular structures obtained from patient’s tumor samples. More and more evidence suggest that these models could predict the response of the tumor from which they are derived. PDTO may thus be used as a tool to predict chemo-ICB efficacy in TNBC patients. Method The TRIPLEX study is a single-center observational study conducted to investigate the feasibility of generating PDTO from TNBC and to evaluate their ability to predict clinical response. PDTO will be obtained after the dissociation of biopsies and embedding into extra cellular matrix. PDTO will be cultured in a medium supplemented with growth factors and signal pathway inhibitors. Molecular and histological analyses will be performed on established PDTO lines to validate their phenotypic proximity with the original tumor. Response of PDTO to chemo-ICB will be assessed using co-cultures with autologous immune cells collected from patient blood samples. PDTO response will finally be compared with the response of the patient to evaluate the predictive potential of the model. Discussion This study will allow to assess the feasibility of using PDTO as predictive tools for the evaluation of the response of TNBC patients to treatments. In the event that PDTO could faithfully predict patient response in clinically relevant time frames, a prospective clinical trial could be designed to use PDTO to guide clinical decision. This study will also permit the establishment of a living biobank of TNBC PDTO usable for future innovative strategies evaluation. Trial registration The clinical trial (version 1.2) has been validated by local research ethic committee on December 30th 2021 and registered at ClinicalTrials.gov with the identifier NCT05404321 on June 3rd 2022, version 1.2.