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| Verfasst von: | Peng, Tianping [VerfasserIn]  |
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| | Ma, Xiujian [VerfasserIn] |
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| | Hua, Wei [VerfasserIn] |
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| | Wang, Changwen [VerfasserIn] |
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| | Chu, Youjun [VerfasserIn] |
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| | Sun, Meng [VerfasserIn] |
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| | Fermi, Valentina [VerfasserIn] |
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| | Hamelmann, Stefan [VerfasserIn] |
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| | Lindner, Katharina [VerfasserIn] |
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| | Shao, Chunxuan [VerfasserIn] |
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| | Zaman, Julia [VerfasserIn] |
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| | Tian, Weili [VerfasserIn] |
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| | Zhuo, Yue [VerfasserIn] |
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| | Harim, Yassin [VerfasserIn] |
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| | Stöffler, Nadja [VerfasserIn] |
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| | Hammann, Linda [VerfasserIn] |
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| | Xiao, Qungen [VerfasserIn] |
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| | Jin, Xiaoliang [VerfasserIn] |
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| | Warta, Rolf [VerfasserIn] |
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| | Lotsch, Catharina [VerfasserIn] |
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| | Zhuang, Xuran [VerfasserIn] |
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| | Feng, Yuan [VerfasserIn] |
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| | Fu, Minjie [VerfasserIn] |
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| | Zhang, Xin [VerfasserIn] |
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| | Zhang, Jinsen [VerfasserIn] |
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| | Xu, Hao [VerfasserIn] |
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| | Qiu, Fufang [VerfasserIn] |
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| | Xie, Liqian [VerfasserIn] |
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| | Zhang, Yi [VerfasserIn] |
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| | Zhu, Wei [VerfasserIn] |
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| | Du, Zunguo [VerfasserIn] |
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| | Salgueiro, Lorena [VerfasserIn] |
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| | Schneider, Mark [VerfasserIn] |
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| | Eichhorn, Florian [VerfasserIn] |
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| | Lefevre, Arthur [VerfasserIn] |
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| | Pusch, Stefan [VerfasserIn] |
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| | Grinevich, Valéry [VerfasserIn] |
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| | Ratliff, Miriam [VerfasserIn] |
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| | Loges, Sonja [VerfasserIn] |
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| | Bunse, Lukas [VerfasserIn] |
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| | Sahm, Felix [VerfasserIn] |
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| | Xiang, Yangfei [VerfasserIn] |
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| | Unterberg, Andreas [VerfasserIn] |
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| | Deimling, Andreas von [VerfasserIn] |
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| | Platten, Michael [VerfasserIn] |
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| | Herold-Mende, Christel [VerfasserIn] |
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| | Wu, Yonghe [VerfasserIn] |
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| | Liu, Hai-Kun [VerfasserIn] |
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| | Mao, Ying [VerfasserIn] |
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| Titel: | Individualized patient tumor organoids faithfully preserve human brain tumor ecosystems and predict patient response to therapy |
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| Titelzusatz: | resource |
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| Verf.angabe: | Tianping Peng, Xiujian Ma, Wei Hua, Changwen Wang, Youjun Chu, Meng Sun, Valentina Fermi, Stefan Hamelmann, Katharina Lindner, Chunxuan Shao, Julia Zaman, Weili Tian, Yue Zhuo, Yassin Harim, Nadja Stöffler, Linda Hammann, Qungen Xiao, Xiaoliang Jin, Rolf Warta, Catharina Lotsch, Xuran Zhuang, Yuan Feng, Minjie Fu, Xin Zhang, Jinsen Zhang, Hao Xu, Fufang Qiu, Liqian Xie, Yi Zhang, Wei Zhu, Zunguo Du, Lorena Salgueiro, Mark Schneider, Florian Eichhorn, Arthur Lefevre, Stefan Pusch, Valery Grinevich, Miriam Ratliff, Sonja Loges, Lukas Bunse, Felix Sahm, Yangfei Xiang, Andreas Unterberg, Andreas von Deimling, Michael Platten, Christel Herold-Mende, Yonghe Wu, Hai-Kun Liu, and Ying Mao |
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| E-Jahr: | 2025 |
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| Jahr: | 3 April 2025 |
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| Umfang: | 30 S. |
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| Illustrationen: | Illustrationen, Diagramme |
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| Fussnoten: | Online verfügbar: 11. Februar 2025, Artikelversion: 3. April 2025 ; Gesehen am 23.06.2025 |
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| Titel Quelle: | Enthalten in: Cell stem cell |
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| Ort Quelle: | Amsterdam [u.a.] : Elsevier, 2007 |
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| Jahr Quelle: | 2025 |
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| Band/Heft Quelle: | 32(2025), 4 vom: Apr., Seite 652-669.e11 |
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| ISSN Quelle: | 1875-9777 |
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| Abstract: | Tumor organoids are important tools for cancer research, but current models have drawbacks that limit their applications for predicting response to therapy. Here, we developed a fast, efficient, and complex culture system (IPTO, individualized patient tumor organoid) that accurately recapitulates the cellular and molecular pathology of human brain tumors. Patient-derived tumor explants were cultured in induced pluripotent stem cell (iPSC)-derived cerebral organoids, thus enabling culture of a wide range of human tumors in the central nervous system (CNS), including adult, pediatric, and metastatic brain cancers. Histopathological, genomic, epigenomic, and single-cell RNA sequencing (scRNA-seq) analyses demonstrated that the IPTO model recapitulates cellular heterogeneity and molecular features of original tumors. Crucially, we showed that the IPTO model predicts patient-specific drug responses, including resistance mechanisms, in a prospective patient cohort. Collectively, the IPTO model represents a major breakthrough in preclinical modeling of human cancers, which provides a path toward personalized cancer therapy. |
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| DOI: | doi:10.1016/j.stem.2025.01.002 |
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| 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/10.1016/j.stem.2025.01.002 |
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| | kostenfrei: Volltext: https://www.sciencedirect.com/science/article/pii/S1934590925000025 |
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| | DOI: https://doi.org/10.1016/j.stem.2025.01.002 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | brain metastasis |
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| | glioblastoma |
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| | patient tumor organoid |
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| | predictive patient model |
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| | temozolomide |
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| | tumor heterogeneity |
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| K10plus-PPN: | 192891456X |
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| Verknüpfungen: | → Zeitschrift |
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Individualized patient tumor organoids faithfully preserve human brain tumor ecosystems and predict patient response to therapy / Peng, Tianping [VerfasserIn]; 3 April 2025 (Online-Ressource)
