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Single-cell multiomics analysis reveals dynamic clonal evolution and targetable phenotypes in acute myeloid leukemia with complex karyotype

Authors: Aino-Maija Leppä,Karen Grimes,Hyobin Jeong,Frank Y. Huang,Alvaro Andrades,Alexander Waclawiczek,Tobias Boch,Anna Jauch,Simon Renders,Patrick Stelmach,Carsten Müller-Tidow,Darja Karpova,Markus Sohn,Florian Grünschläger,Patrick Hasenfeld,Eva Benito Garagorri,Vera Thiel,Anna Dolnik,Bernardo Rodriguez-Martin,Lars Bullinger,Krzysztof Mrózek,Ann-Kathrin Eisfeld,Alwin Krämer,Ashley D. Sanders,Jan O. Korbel,Andreas Trumpp
Publisher: Springer Science and Business Media LLC
Publish date: 2024-11-25
ISSN: 1061-4036,1546-1718 DOI: 10.1038/s41588-024-01999-x
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This is an excellent study employing advanced single-cell multiomics to uncover the clonal evolution dynamics and drug response profiles in CK-AML. Your integration of structural variant data with transcriptomic and proteomic insights is highly commendable. I am particularly intrigued by the subclone-specific drug sensitivity findings and the identification of seismic amplifications in CK-AML.

Given the potential translational impact of your work, I wonder if you could expand on the practical clinical applications of your findings. For instance, how do you envision integrating subclone-specific drug response profiles into routine clinical workflows for CK-AML management? Additionally, could you comment on the scalability of the single-cell techniques you employed, particularly in resource-constrained settings, and the potential for cross-laboratory standardization of these methods?

Your insights on these points would be a valuable contribution to our discussion on advancing personalized treatment approaches in hematologic malignancies.

 

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