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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-8988213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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