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Comparative analysis of response to treatments and molecular features of tumor-derived organoids versus cell lines and PDX derived from the same ovarian clear cell carcinoma

BACKGROUND: In the era of personalized medicine, the establishment of preclinical models of cancer that faithfully recapitulate original tumors is essential to potentially guide clinical decisions. METHODS: We established 7 models [4 cell lines, 2 Patient-Derived Tumor Organoids (PDTO) and 1 Patient...

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Autores principales: Thorel, Lucie, Morice, Pierre-Marie, Paysant, Hippolyte, Florent, Romane, Babin, Guillaume, Thomine, Cécilia, Perréard, Marion, Abeilard, Edwige, Giffard, Florence, Brotin, Emilie, Denoyelle, Christophe, Villenet, Céline, Sebda, Shéhérazade, Briand, Mélanie, Joly, Florence, Dolivet, Enora, Goux, Didier, Blanc-Fournier, Cécile, Jeanne, Corinne, Villedieu, Marie, Meryet-Figuiere, Matthieu, Figeac, Martin, Poulain, Laurent, Weiswald, Louis-Bastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559504/
https://www.ncbi.nlm.nih.gov/pubmed/37803448
http://dx.doi.org/10.1186/s13046-023-02809-8
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author Thorel, Lucie
Morice, Pierre-Marie
Paysant, Hippolyte
Florent, Romane
Babin, Guillaume
Thomine, Cécilia
Perréard, Marion
Abeilard, Edwige
Giffard, Florence
Brotin, Emilie
Denoyelle, Christophe
Villenet, Céline
Sebda, Shéhérazade
Briand, Mélanie
Joly, Florence
Dolivet, Enora
Goux, Didier
Blanc-Fournier, Cécile
Jeanne, Corinne
Villedieu, Marie
Meryet-Figuiere, Matthieu
Figeac, Martin
Poulain, Laurent
Weiswald, Louis-Bastien
author_facet Thorel, Lucie
Morice, Pierre-Marie
Paysant, Hippolyte
Florent, Romane
Babin, Guillaume
Thomine, Cécilia
Perréard, Marion
Abeilard, Edwige
Giffard, Florence
Brotin, Emilie
Denoyelle, Christophe
Villenet, Céline
Sebda, Shéhérazade
Briand, Mélanie
Joly, Florence
Dolivet, Enora
Goux, Didier
Blanc-Fournier, Cécile
Jeanne, Corinne
Villedieu, Marie
Meryet-Figuiere, Matthieu
Figeac, Martin
Poulain, Laurent
Weiswald, Louis-Bastien
author_sort Thorel, Lucie
collection PubMed
description BACKGROUND: In the era of personalized medicine, the establishment of preclinical models of cancer that faithfully recapitulate original tumors is essential to potentially guide clinical decisions. METHODS: We established 7 models [4 cell lines, 2 Patient-Derived Tumor Organoids (PDTO) and 1 Patient-Derived Xenograft (PDX)], all derived from the same Ovarian Clear Cell Carcinoma (OCCC). To determine the relevance of each of these models, comprehensive characterization was performed based on morphological, histological, and transcriptomic analyses as well as on the evaluation of their response to the treatments received by the patient. These results were compared to the clinical data. RESULTS: Only the PDX and PDTO models derived from the patient tumor were able to recapitulate the patient tumor heterogeneity. The patient was refractory to carboplatin, doxorubicin and gemcitabine, while tumor cell lines were sensitive to these treatments. In contrast, PDX and PDTO models displayed resistance to the 3 drugs. The transcriptomic analysis was consistent with these results since the models recapitulating faithfully the clinical response grouped together away from the other classical 2D cell culture models. We next investigated the potential of drugs that have not been used in the patient clinical management and we identified the HDAC inhibitor belinostat as a potential effective treatment based on PDTO response. CONCLUSIONS: PDX and PDTO appear to be the most relevant models, but only PDTO seem to present all the necessary prerequisites for predictive purposes and could constitute relevant tools for therapeutic decision support in the context of these particularly aggressive cancers refractory to conventional treatments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13046-023-02809-8.
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spelling pubmed-105595042023-10-08 Comparative analysis of response to treatments and molecular features of tumor-derived organoids versus cell lines and PDX derived from the same ovarian clear cell carcinoma Thorel, Lucie Morice, Pierre-Marie Paysant, Hippolyte Florent, Romane Babin, Guillaume Thomine, Cécilia Perréard, Marion Abeilard, Edwige Giffard, Florence Brotin, Emilie Denoyelle, Christophe Villenet, Céline Sebda, Shéhérazade Briand, Mélanie Joly, Florence Dolivet, Enora Goux, Didier Blanc-Fournier, Cécile Jeanne, Corinne Villedieu, Marie Meryet-Figuiere, Matthieu Figeac, Martin Poulain, Laurent Weiswald, Louis-Bastien J Exp Clin Cancer Res Research BACKGROUND: In the era of personalized medicine, the establishment of preclinical models of cancer that faithfully recapitulate original tumors is essential to potentially guide clinical decisions. METHODS: We established 7 models [4 cell lines, 2 Patient-Derived Tumor Organoids (PDTO) and 1 Patient-Derived Xenograft (PDX)], all derived from the same Ovarian Clear Cell Carcinoma (OCCC). To determine the relevance of each of these models, comprehensive characterization was performed based on morphological, histological, and transcriptomic analyses as well as on the evaluation of their response to the treatments received by the patient. These results were compared to the clinical data. RESULTS: Only the PDX and PDTO models derived from the patient tumor were able to recapitulate the patient tumor heterogeneity. The patient was refractory to carboplatin, doxorubicin and gemcitabine, while tumor cell lines were sensitive to these treatments. In contrast, PDX and PDTO models displayed resistance to the 3 drugs. The transcriptomic analysis was consistent with these results since the models recapitulating faithfully the clinical response grouped together away from the other classical 2D cell culture models. We next investigated the potential of drugs that have not been used in the patient clinical management and we identified the HDAC inhibitor belinostat as a potential effective treatment based on PDTO response. CONCLUSIONS: PDX and PDTO appear to be the most relevant models, but only PDTO seem to present all the necessary prerequisites for predictive purposes and could constitute relevant tools for therapeutic decision support in the context of these particularly aggressive cancers refractory to conventional treatments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13046-023-02809-8. BioMed Central 2023-10-07 /pmc/articles/PMC10559504/ /pubmed/37803448 http://dx.doi.org/10.1186/s13046-023-02809-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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.
spellingShingle Research
Thorel, Lucie
Morice, Pierre-Marie
Paysant, Hippolyte
Florent, Romane
Babin, Guillaume
Thomine, Cécilia
Perréard, Marion
Abeilard, Edwige
Giffard, Florence
Brotin, Emilie
Denoyelle, Christophe
Villenet, Céline
Sebda, Shéhérazade
Briand, Mélanie
Joly, Florence
Dolivet, Enora
Goux, Didier
Blanc-Fournier, Cécile
Jeanne, Corinne
Villedieu, Marie
Meryet-Figuiere, Matthieu
Figeac, Martin
Poulain, Laurent
Weiswald, Louis-Bastien
Comparative analysis of response to treatments and molecular features of tumor-derived organoids versus cell lines and PDX derived from the same ovarian clear cell carcinoma
title Comparative analysis of response to treatments and molecular features of tumor-derived organoids versus cell lines and PDX derived from the same ovarian clear cell carcinoma
title_full Comparative analysis of response to treatments and molecular features of tumor-derived organoids versus cell lines and PDX derived from the same ovarian clear cell carcinoma
title_fullStr Comparative analysis of response to treatments and molecular features of tumor-derived organoids versus cell lines and PDX derived from the same ovarian clear cell carcinoma
title_full_unstemmed Comparative analysis of response to treatments and molecular features of tumor-derived organoids versus cell lines and PDX derived from the same ovarian clear cell carcinoma
title_short Comparative analysis of response to treatments and molecular features of tumor-derived organoids versus cell lines and PDX derived from the same ovarian clear cell carcinoma
title_sort comparative analysis of response to treatments and molecular features of tumor-derived organoids versus cell lines and pdx derived from the same ovarian clear cell carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559504/
https://www.ncbi.nlm.nih.gov/pubmed/37803448
http://dx.doi.org/10.1186/s13046-023-02809-8
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