Cellular hierarchies predict drug response in acute myeloid leukemia

Simon Raffel¹, Lars Velten², Simon Haas³

Affiliations

¹ Department of Medicine V, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany. Electronic address: simon.raffel@med.uni-heidelberg.de.
² Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain. Electronic address: lars.velten@crg.eu.
³ Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Berlin, Germany; Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany; Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Department of Hematology, Oncology and Cancer Immunology, Berlin, Germany; Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany; Division of Stem Cells and Cancer, Deutsches Krebsforschungszentrum (DKFZ), and DKFZ-ZMBH Alliance, Heidelberg, Germany; German Cancer Consortium (DKTK), Heidelberg, Germany. Electronic address: simon.haas@bih-charite.de.

PMID: 36055227
DOI: 10.1016/j.ccell.2022.08.019

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Cellular hierarchies predict drug response in acute myeloid leukemia

Simon Raffel et al. Cancer Cell. 2022.

Free article

. 2022 Sep 12;40(9):917-919.

doi: 10.1016/j.ccell.2022.08.019. Epub 2022 Sep 1.

Authors

Simon Raffel¹, Lars Velten², Simon Haas³

Affiliations

¹ Department of Medicine V, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany. Electronic address: simon.raffel@med.uni-heidelberg.de.
² Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain. Electronic address: lars.velten@crg.eu.
³ Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Berlin, Germany; Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany; Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Department of Hematology, Oncology and Cancer Immunology, Berlin, Germany; Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany; Division of Stem Cells and Cancer, Deutsches Krebsforschungszentrum (DKFZ), and DKFZ-ZMBH Alliance, Heidelberg, Germany; German Cancer Consortium (DKTK), Heidelberg, Germany. Electronic address: simon.haas@bih-charite.de.

PMID: 36055227
DOI: 10.1016/j.ccell.2022.08.019

Abstract

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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Conflict of interest statement

Declaration of interests The authors declare no competing interests.

Comment on

A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemia.
Zeng AGX, Bansal S, Jin L, Mitchell A, Chen WC, Abbas HA, Chan-Seng-Yue M, Voisin V, van Galen P, Tierens A, Cheok M, Preudhomme C, Dombret H, Daver N, Futreal PA, Minden MD, Kennedy JA, Wang JCY, Dick JE. Zeng AGX, et al. Nat Med. 2022 Jun;28(6):1212-1223. doi: 10.1038/s41591-022-01819-x. Epub 2022 May 26. Nat Med. 2022. PMID: 35618837

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Cellular hierarchies predict drug response in acute myeloid leukemia

Affiliations

Cellular hierarchies predict drug response in acute myeloid leukemia

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Abstract

Conflict of interest statement

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