Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The TRIPLEX study: use of patient-derived tumor organoids as an innovative tool for precision medicine in triple-negative breast cancer

      research-article
      1 , 2 , 3 , 1 , 2 , 3 , 4 , 5 , 5 , 5 , 5 , 5 , 5 , 5 , 4 , 1 , 6 , 1 , 7 , 4 , 5 , 8 , 8 , 9 , 9 , 9 , 2 , 10 , 1 , 6 , 10 , 11 , 12 , 13 , 1 , 3 , 6 , 1 , 2 , 3 , 14 , , 4 , 5 , 15 ,
      BMC Cancer
      BioMed Central
      Triple negative breast cancer, Patient-derived tumor organoids, Predictive functional assays, Chemo-immunotherapy

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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 30 th 2021 and registered at ClinicalTrials.gov with the identifier NCT05404321 on June 3 rd 2022, version 1.2.

          Related collections

          Most cited references31

          • Record: found
          • Abstract: found
          • Article: not found

          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Patient-derived organoids model treatment response of metastatic gastrointestinal cancers

            Patient-derived organoids (PDOs) have recently emerged as robust pre-clinical models, however, their potential to predict patient clinical outcomes remain unclear. We report a living biobank of PDOs from metastatic, heavily-pretreated colorectal and gastroesophageal cancer patients recruited in phase I/II clinical trials. Phenotypic and genotypic profiling of PDOs showed a high-degree of similarity to the original patient tumor. Molecular profiling of tumor organoids was matched to drug screening results, suggesting PDOs could complement existing approaches in defining cancer vulnerabilities and improving treatment responses. We compared ex vivo organoid responses to anticancer agents, and PDO-based orthotopic mouse tumor xenograft models to the response of the patient in clinical trials. Our data suggest that PDOs can recapitulate patient responses in the clinic, and have the potential to be implemented in personalized medicine programs.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A Living Biobank of Breast Cancer Organoids Captures Disease Heterogeneity

              Breast cancer (BC) comprises multiple distinct subtypes that differ genetically, pathologically, and clinically. Here, we describe a robust protocol for long-term culturing of human mammary epithelial organoids. Using this protocol, >100 primary and metastatic BC organoid lines were generated, broadly recapitulating the diversity of the disease. BC organoid morphologies typically matched the histopathology, hormone receptor status, and HER2 status of the original tumor. DNA copy number variations as well as sequence changes were consistent within tumor-organoid pairs and largely retained even after extended passaging. BC organoids furthermore populated all major gene-expression-based classification groups and allowed in vitro drug screens that were consistent with in vivo xeno-transplantations and patient response. This study describes a representative collection of well-characterized BC organoids available for cancer research and drug development, as well as a strategy to assess in vitro drug response in a personalized fashion.
                Bookmark

                Author and article information

                Contributors
                lb.weiswald@baclesse.unicancer.fr
                g.emile@baclesse.unicancer.fr
                Journal
                BMC Cancer
                BMC Cancer
                BMC Cancer
                BioMed Central (London )
                1471-2407
                19 September 2023
                19 September 2023
                2023
                : 23
                : 883
                Affiliations
                [1 ]INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Laboratory (Precision Medicine for Ovarian Cancers), Université de Caen Normandie, ( https://ror.org/051kpcy16) Caen, France
                [2 ]GRID grid.418189.d, ISNI 0000 0001 2175 1768, Comprehensive Cancer Center François Baclesse, , UNICANCER, ; Caen, France
                [3 ]US PLATON, ORGAPRED Core Facility, Université de Caen Normandie, ( https://ror.org/051kpcy16) Caen, France
                [4 ]GRID grid.418189.d, ISNI 0000 0001 2175 1768, Comprehensive Cancer Center François Baclesse, Breast Cancer Unit, , UNICANCER, Institut Normand du Sein, ; Caen, France
                [5 ]Comprehensive Cancer Center François Baclesse, Clinical Research Department, UNICANCER, ( https://ror.org/02x9y0j10) Caen, France
                [6 ]US PLATON, Biological Resource Center ‘OvaRessources’, Université de Caen Normandie, ( https://ror.org/051kpcy16) Caen, France
                [7 ]Comprehensive Cancer Center François Baclesse, Department of Surgery, UNICANCER, ( https://ror.org/02x9y0j10) Caen, France
                [8 ]GRID grid.418189.d, ISNI 0000 0001 2175 1768, Comprehensive Cancer Center François Baclesse, North-West Canceropole Data Center, , UNICANCER, ; Caen, France
                [9 ]Comprehensive Cancer Center François Baclesse, Department of Radiology, UNICANCER, ( https://ror.org/02x9y0j10) Caen, France
                [10 ]Biological Resource Center ‘Tumorotheque de Caen Basse-Normandie’, IRCBN Institut Régional du Cancer Basse Normandie, Caen, France
                [11 ]Comprehensive Cancer Center François Baclesse, Department of Biopathology, UNICANCER, ( https://ror.org/02x9y0j10) Caen, France
                [12 ]Comprehensive Cancer Center François Baclesse, Department of Cancer Biology and Genetics, UNICANCER, ( https://ror.org/02x9y0j10) Caen, France
                [13 ]GRID grid.503422.2, ISNI 0000 0001 2242 6780, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UAR 2014 - PLBS, , University of Lille, ; Lille, France
                [14 ]GRID grid.418189.d, ISNI 0000 0001 2175 1768, INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), , Comprehensive Cancer Center François Baclesse, ; 3 Avenue du Général Harris, BP 45026, Caen Cedex 05, 14 076 France
                [15 ]GRID grid.418189.d, ISNI 0000 0001 2175 1768, Breast Cancer Unit, , Comprehensive Cancer Center François Baclesse, ; 3 Avenue du Général Harris, BP 45026, Caen Cedex 05, 14 076 France
                Article
                11362
                10.1186/s12885-023-11362-8
                10508010
                37726786
                d60a142e-3c7f-4d42-8ed7-640fd3f68dee
                © BioMed Central Ltd., part of Springer Nature 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 17 July 2023
                : 1 September 2023
                Funding
                Funded by: Normandy County Council
                Award ID: ORGATHEREX
                Award Recipient :
                Funded by: Rochambelle
                Categories
                Study Protocol
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Oncology & Radiotherapy
                triple negative breast cancer,patient-derived tumor organoids,predictive functional assays,chemo-immunotherapy

                Comments

                Comment on this article