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Identification of treatment‐induced vulnerabilities in pancreatic cancer patients using functional model systems

Despite the advance and success of precision oncology in gastrointestinal cancers, the frequency of molecular‐informed therapy decisions in pancreatic ductal adenocarcinoma (PDAC) is currently neglectable. We present a longitudinal precision oncology platform based on functional model systems, inclu...

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Autores principales: Peschke, Katja, Jakubowsky, Hannah, Schäfer, Arlett, Maurer, Carlo, Lange, Sebastian, Orben, Felix, Bernad, Raquel, Harder, Felix N, Eiber, Matthias, Öllinger, Rupert, Steiger, Katja, Schlitter, Melissa, Weichert, Wilko, Mayr, Ulrich, Phillip, Veit, Schlag, Christoph, Schmid, Roland M, Braren, Rickmer F, Kong, Bo, Demir, Ihsan Ekin, Friess, Helmut, Rad, Roland, Saur, Dieter, Schneider, Günter, Reichert, Maximilian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988213/
https://www.ncbi.nlm.nih.gov/pubmed/35119792
http://dx.doi.org/10.15252/emmm.202114876
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author Peschke, Katja
Jakubowsky, Hannah
Schäfer, Arlett
Maurer, Carlo
Lange, Sebastian
Orben, Felix
Bernad, Raquel
Harder, Felix N
Eiber, Matthias
Öllinger, Rupert
Steiger, Katja
Schlitter, Melissa
Weichert, Wilko
Mayr, Ulrich
Phillip, Veit
Schlag, Christoph
Schmid, Roland M
Braren, Rickmer F
Kong, Bo
Demir, Ihsan Ekin
Friess, Helmut
Rad, Roland
Saur, Dieter
Schneider, Günter
Reichert, Maximilian
author_facet Peschke, Katja
Jakubowsky, Hannah
Schäfer, Arlett
Maurer, Carlo
Lange, Sebastian
Orben, Felix
Bernad, Raquel
Harder, Felix N
Eiber, Matthias
Öllinger, Rupert
Steiger, Katja
Schlitter, Melissa
Weichert, Wilko
Mayr, Ulrich
Phillip, Veit
Schlag, Christoph
Schmid, Roland M
Braren, Rickmer F
Kong, Bo
Demir, Ihsan Ekin
Friess, Helmut
Rad, Roland
Saur, Dieter
Schneider, Günter
Reichert, Maximilian
author_sort Peschke, Katja
collection PubMed
description Despite the advance and success of precision oncology in gastrointestinal cancers, the frequency of molecular‐informed therapy decisions in pancreatic ductal adenocarcinoma (PDAC) is currently neglectable. We present a longitudinal precision oncology platform based on functional model systems, including patient‐derived organoids, to identify chemotherapy‐induced vulnerabilities. We demonstrate that treatment‐induced tumor cell plasticity in vivo distinctly changes responsiveness to targeted therapies, without the presence of a selectable genetic marker, indicating that tumor cell plasticity can be functionalized. By adding a mechanistic layer to precision oncology, adaptive processes of tumors under therapy can be exploited, particularly in highly plastic tumors, such as pancreatic cancer.
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spelling pubmed-89882132022-04-11 Identification of treatment‐induced vulnerabilities in pancreatic cancer patients using functional model systems Peschke, Katja Jakubowsky, Hannah Schäfer, Arlett Maurer, Carlo Lange, Sebastian Orben, Felix Bernad, Raquel Harder, Felix N Eiber, Matthias Öllinger, Rupert Steiger, Katja Schlitter, Melissa Weichert, Wilko Mayr, Ulrich Phillip, Veit Schlag, Christoph Schmid, Roland M Braren, Rickmer F Kong, Bo Demir, Ihsan Ekin Friess, Helmut Rad, Roland Saur, Dieter Schneider, Günter Reichert, Maximilian EMBO Mol Med Reports Despite the advance and success of precision oncology in gastrointestinal cancers, the frequency of molecular‐informed therapy decisions in pancreatic ductal adenocarcinoma (PDAC) is currently neglectable. We present a longitudinal precision oncology platform based on functional model systems, including patient‐derived organoids, to identify chemotherapy‐induced vulnerabilities. We demonstrate that treatment‐induced tumor cell plasticity in vivo distinctly changes responsiveness to targeted therapies, without the presence of a selectable genetic marker, indicating that tumor cell plasticity can be functionalized. By adding a mechanistic layer to precision oncology, adaptive processes of tumors under therapy can be exploited, particularly in highly plastic tumors, such as pancreatic cancer. John Wiley and Sons Inc. 2022-02-04 /pmc/articles/PMC8988213/ /pubmed/35119792 http://dx.doi.org/10.15252/emmm.202114876 Text en © 2022 The Authors. Published under the terms of the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reports
Peschke, Katja
Jakubowsky, Hannah
Schäfer, Arlett
Maurer, Carlo
Lange, Sebastian
Orben, Felix
Bernad, Raquel
Harder, Felix N
Eiber, Matthias
Öllinger, Rupert
Steiger, Katja
Schlitter, Melissa
Weichert, Wilko
Mayr, Ulrich
Phillip, Veit
Schlag, Christoph
Schmid, Roland M
Braren, Rickmer F
Kong, Bo
Demir, Ihsan Ekin
Friess, Helmut
Rad, Roland
Saur, Dieter
Schneider, Günter
Reichert, Maximilian
Identification of treatment‐induced vulnerabilities in pancreatic cancer patients using functional model systems
title Identification of treatment‐induced vulnerabilities in pancreatic cancer patients using functional model systems
title_full Identification of treatment‐induced vulnerabilities in pancreatic cancer patients using functional model systems
title_fullStr Identification of treatment‐induced vulnerabilities in pancreatic cancer patients using functional model systems
title_full_unstemmed Identification of treatment‐induced vulnerabilities in pancreatic cancer patients using functional model systems
title_short Identification of treatment‐induced vulnerabilities in pancreatic cancer patients using functional model systems
title_sort identification of treatment‐induced vulnerabilities in pancreatic cancer patients using functional model systems
topic Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988213/
https://www.ncbi.nlm.nih.gov/pubmed/35119792
http://dx.doi.org/10.15252/emmm.202114876
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