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

Autor: Katja Peschke, Hannah Jakubowsky, Arlett Schäfer, Carlo Maurer, Sebastian Lange, Felix Orben, Raquel Bernad, Felix N Harder, Matthias Eiber, Rupert Öllinger, Katja Steiger, Melissa Schlitter, Wilko Weichert, Ulrich Mayr, Veit Phillip, Christoph Schlag, Roland M Schmid, Rickmer F Braren, Bo Kong, Ihsan Ekin Demir, Helmut Friess, Roland Rad, Dieter Saur, Günter Schneider, Maximilian Reichert
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: EMBO Molecular Medicine, Vol 14, Iss 4, Pp n/a-n/a (2022)
Druh dokumentu: article
ISSN: 1757-4684
1757-4676
DOI: 10.15252/emmm.202114876
Popis: Abstract 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.
Databáze: Directory of Open Access Journals
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