Cellular hierarchies predict drug response in acute myeloid leukemia
In a recent Nature Medicine study, Zeng and colleagues integrate both genomic and stem cell models of acute myeloid leukemia (AML) by deconvoluting cellular hierarchies of more than 1,000 AML samples. This work introduces a framework capable of predicting drug responses to targeted therapies in futu...
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| Hauptverfasser: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
September 12, 2022
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| In: |
Cancer cell
Year: 2022, Jahrgang: 40, Heft: 9, Pages: 917-919 |
| ISSN: | 1878-3686 |
| DOI: | 10.1016/j.ccell.2022.08.019 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.ccell.2022.08.019 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S153561082200383X 
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| Verfasserangaben: | Simon Raffel, Lars Velten, and Simon Haas |
| Zusammenfassung: | In a recent Nature Medicine study, Zeng and colleagues integrate both genomic and stem cell models of acute myeloid leukemia (AML) by deconvoluting cellular hierarchies of more than 1,000 AML samples. This work introduces a framework capable of predicting drug responses to targeted therapies in future clinical trials. |
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| Beschreibung: | Gesehen am 07.02.2023 |
| Beschreibung: | Online Resource |
| ISSN: | 1878-3686 |
| DOI: | 10.1016/j.ccell.2022.08.019 |