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Status: Bibliographieeintrag

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Verfasst von:Ratliff, Miriam [VerfasserIn]   i
 Kim, Hichul [VerfasserIn]   i
 Qi, Hao [VerfasserIn]   i
 Kim, Minsung [VerfasserIn]   i
 Ku, Bosung [VerfasserIn]   i
 Domínguez Azorín, Daniel [VerfasserIn]   i
 Hausmann, David [VerfasserIn]   i
 Khajuria, Rajiv Kumar [VerfasserIn]   i
 Patel, Areeba [VerfasserIn]   i
 Maier, Elena [VerfasserIn]   i
 Cousin, Loic [VerfasserIn]   i
 Ogier, Arnaud [VerfasserIn]   i
 Sahm, Felix [VerfasserIn]   i
 Etminan, Nima [VerfasserIn]   i
 Bunse, Lukas [VerfasserIn]   i
 Winkler, Frank [VerfasserIn]   i
 El-Khoury, Victoria [VerfasserIn]   i
 Platten, Michael [VerfasserIn]   i
 Kwon, Yong-Jun [VerfasserIn]   i
Titel:Patient-derived tumor organoids for guidance of personalized drug therapies in recurrent glioblastoma
Verf.angabe:Miriam Ratliff, Hichul Kim, Hao Qi, Minsung Kim, Bosung Ku, Daniel Dominguez Azorin, David Hausmann, Rajiv K. Khajuria, Areeba Patel, Elena Maier, Loic Cousin, Arnaud Ogier, Felix Sahm, Nima Etminan, Lukas Bunse, Frank Winkler, Victoria El-Khoury, Michael Platten and Yong-Jun Kwon
E-Jahr:2022
Jahr:12 June 2022
Umfang:16 S.
Illustrationen:Illustrationen
Fussnoten:Gesehen am 06.02.2024
Weitere Titel:Titel des übergeordneten Special issue: Future trends in biomaterials and devices for cells and tissues
Titel Quelle:Enthalten in: International journal of molecular sciences
Ort Quelle:Basel : Molecular Diversity Preservation International, 2000
Jahr Quelle:2022
Band/Heft Quelle:23(2022), 12, Artikel-ID 6572, Seite 1-16
ISSN Quelle:1422-0067
 1661-6596
Abstract:An obstacle to effective uniform treatment of glioblastoma, especially at recurrence, is genetic and cellular intertumoral heterogeneity. Hence, personalized strategies are necessary, as are means to stratify potential targeted therapies in a clinically relevant timeframe. Functional profiling of drug candidates against patient-derived glioblastoma organoids (PD-GBO) holds promise as an empirical method to preclinically discover potentially effective treatments of individual tumors. Here, we describe our establishment of a PD-GBO-based functional profiling platform and the results of its application to four patient tumors. We show that our PD-GBO model system preserves key features of individual patient glioblastomas in vivo. As proof of concept, we tested a panel of 41 FDA-approved drugs and were able to identify potential treatment options for three out of four patients; the turnaround from tumor resection to discovery of treatment option was 13, 14, and 15 days, respectively. These results demonstrate that this approach is a complement and, potentially, an alternative to current molecular profiling efforts in the pursuit of effective personalized treatment discovery in a clinically relevant time period. Furthermore, these results warrant the use of PD-GBO platforms for preclinical identification of new drugs against defined morphological glioblastoma features.
DOI:doi:10.3390/ijms23126572
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://doi.org/10.3390/ijms23126572
 kostenfrei: Volltext: https://www.mdpi.com/1422-0067/23/12/6572
 DOI: https://doi.org/10.3390/ijms23126572
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:drug profiling
 glioblastoma
 intercellular calcium waves (ICW)
 patient-derived organoids
 personalized oncology
 precision medicine
 tumor cell network
 tumor microtube (TM)
K10plus-PPN:1880071835
Verknüpfungen:→ Zeitschrift

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