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Implementing patient derived organoids in functional precision medicine for patients with advanced colorectal cancer

BACKGROUND: Patient Derived Organoids (PDOs) emerged as the best technology to develop ex vivo tumor avatars. Whether drug testing on PDOs to identify efficient therapies will bring clinical utility by improving patient survival remains unclear. To test this hypothesis in the frame of clinical trial...

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Autores principales: Cartry, Jérôme, Bedja, Sabrina, Boilève, Alice, Mathieu, Jacques R. R., Gontran, Emilie, Annereau, Maxime, Job, Bastien, Mouawia, Ali, Mathias, Pierre, De Baère, Thierry, Italiano, Antoine, Besse, Benjamin, Sourrouille, Isabelle, Gelli, Maximiliano, Bani, Mohamed-Amine, Dartigues, Peggy, Hollebecque, Antoine, Smolenschi, Cristina, Ducreux, Michel, Malka, David, Jaulin, Fanny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598932/
https://www.ncbi.nlm.nih.gov/pubmed/37880806
http://dx.doi.org/10.1186/s13046-023-02853-4
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author Cartry, Jérôme
Bedja, Sabrina
Boilève, Alice
Mathieu, Jacques R. R.
Gontran, Emilie
Annereau, Maxime
Job, Bastien
Mouawia, Ali
Mathias, Pierre
De Baère, Thierry
Italiano, Antoine
Besse, Benjamin
Sourrouille, Isabelle
Gelli, Maximiliano
Bani, Mohamed-Amine
Dartigues, Peggy
Hollebecque, Antoine
Smolenschi, Cristina
Ducreux, Michel
Malka, David
Jaulin, Fanny
author_facet Cartry, Jérôme
Bedja, Sabrina
Boilève, Alice
Mathieu, Jacques R. R.
Gontran, Emilie
Annereau, Maxime
Job, Bastien
Mouawia, Ali
Mathias, Pierre
De Baère, Thierry
Italiano, Antoine
Besse, Benjamin
Sourrouille, Isabelle
Gelli, Maximiliano
Bani, Mohamed-Amine
Dartigues, Peggy
Hollebecque, Antoine
Smolenschi, Cristina
Ducreux, Michel
Malka, David
Jaulin, Fanny
author_sort Cartry, Jérôme
collection PubMed
description BACKGROUND: Patient Derived Organoids (PDOs) emerged as the best technology to develop ex vivo tumor avatars. Whether drug testing on PDOs to identify efficient therapies will bring clinical utility by improving patient survival remains unclear. To test this hypothesis in the frame of clinical trials, PDO technology faces three main challenges to be implemented in routine clinical practices: i) generating PDOs with a limited amount of tumor material; ii) testing a wide panel of anti-cancer drugs; and iii) obtaining results within a time frame compatible with patient disease management. We aimed to address these challenges in a prospective study in patients with colorectal cancer (CRC). METHODS: Fresh surgical or core needle biopsies were obtained from patients with CRC. PDOs were established and challenged with a panel of 25 FDA-approved anti-cancer drugs (chemotherapies and targeted therapies) to establish a scoring method (‘chemogram’) identifying in vitro responders. The results were analyzed at the scale of the cohort and individual patients when the follow-up data were available. RESULTS: A total of 25 PDOs were successfully established, harboring 94% concordance with the genomic profile of the tumor they were derived from. The take-on rate for PDOs derived from core needle biopsies was 61.5%. A chemogram was obtained with a 6-week median turnaround time (range, 4–10 weeks). At least one hit (mean 6.16) was identified for 92% of the PDOs. The number of hits was inversely correlated to disease metastatic dissemination and the number of lines of treatment the patient received. The chemograms were compared to clinical data obtained from 8 patients and proved to be predictive of their response with 75% sensitivity and specificity. CONCLUSIONS: We show that PDO-based drug tests can be achieved in the frame of routine clinical practice. The chemogram could provide clinicians with a decision-making tool to tailor patient treatment. Thus, PDO-based functional precision oncology should now be tested in interventional trials assessing its clinical utility for patients who do not harbor activable genomic alterations or have developed resistance to standard of care treatments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13046-023-02853-4.
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spelling pubmed-105989322023-10-26 Implementing patient derived organoids in functional precision medicine for patients with advanced colorectal cancer Cartry, Jérôme Bedja, Sabrina Boilève, Alice Mathieu, Jacques R. R. Gontran, Emilie Annereau, Maxime Job, Bastien Mouawia, Ali Mathias, Pierre De Baère, Thierry Italiano, Antoine Besse, Benjamin Sourrouille, Isabelle Gelli, Maximiliano Bani, Mohamed-Amine Dartigues, Peggy Hollebecque, Antoine Smolenschi, Cristina Ducreux, Michel Malka, David Jaulin, Fanny J Exp Clin Cancer Res Research BACKGROUND: Patient Derived Organoids (PDOs) emerged as the best technology to develop ex vivo tumor avatars. Whether drug testing on PDOs to identify efficient therapies will bring clinical utility by improving patient survival remains unclear. To test this hypothesis in the frame of clinical trials, PDO technology faces three main challenges to be implemented in routine clinical practices: i) generating PDOs with a limited amount of tumor material; ii) testing a wide panel of anti-cancer drugs; and iii) obtaining results within a time frame compatible with patient disease management. We aimed to address these challenges in a prospective study in patients with colorectal cancer (CRC). METHODS: Fresh surgical or core needle biopsies were obtained from patients with CRC. PDOs were established and challenged with a panel of 25 FDA-approved anti-cancer drugs (chemotherapies and targeted therapies) to establish a scoring method (‘chemogram’) identifying in vitro responders. The results were analyzed at the scale of the cohort and individual patients when the follow-up data were available. RESULTS: A total of 25 PDOs were successfully established, harboring 94% concordance with the genomic profile of the tumor they were derived from. The take-on rate for PDOs derived from core needle biopsies was 61.5%. A chemogram was obtained with a 6-week median turnaround time (range, 4–10 weeks). At least one hit (mean 6.16) was identified for 92% of the PDOs. The number of hits was inversely correlated to disease metastatic dissemination and the number of lines of treatment the patient received. The chemograms were compared to clinical data obtained from 8 patients and proved to be predictive of their response with 75% sensitivity and specificity. CONCLUSIONS: We show that PDO-based drug tests can be achieved in the frame of routine clinical practice. The chemogram could provide clinicians with a decision-making tool to tailor patient treatment. Thus, PDO-based functional precision oncology should now be tested in interventional trials assessing its clinical utility for patients who do not harbor activable genomic alterations or have developed resistance to standard of care treatments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13046-023-02853-4. BioMed Central 2023-10-25 /pmc/articles/PMC10598932/ /pubmed/37880806 http://dx.doi.org/10.1186/s13046-023-02853-4 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
Cartry, Jérôme
Bedja, Sabrina
Boilève, Alice
Mathieu, Jacques R. R.
Gontran, Emilie
Annereau, Maxime
Job, Bastien
Mouawia, Ali
Mathias, Pierre
De Baère, Thierry
Italiano, Antoine
Besse, Benjamin
Sourrouille, Isabelle
Gelli, Maximiliano
Bani, Mohamed-Amine
Dartigues, Peggy
Hollebecque, Antoine
Smolenschi, Cristina
Ducreux, Michel
Malka, David
Jaulin, Fanny
Implementing patient derived organoids in functional precision medicine for patients with advanced colorectal cancer
title Implementing patient derived organoids in functional precision medicine for patients with advanced colorectal cancer
title_full Implementing patient derived organoids in functional precision medicine for patients with advanced colorectal cancer
title_fullStr Implementing patient derived organoids in functional precision medicine for patients with advanced colorectal cancer
title_full_unstemmed Implementing patient derived organoids in functional precision medicine for patients with advanced colorectal cancer
title_short Implementing patient derived organoids in functional precision medicine for patients with advanced colorectal cancer
title_sort implementing patient derived organoids in functional precision medicine for patients with advanced colorectal cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598932/
https://www.ncbi.nlm.nih.gov/pubmed/37880806
http://dx.doi.org/10.1186/s13046-023-02853-4
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