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DOI 10.1101/2024.11.11.623033

Медицинская библиотека · bioRxiv : the preprint server for biology · 2024

Genotype-immunophenotype relationships in NPM1-mutant AML clonal evolution uncovered by single cell multiomic analysis.

Drucker Morgan, Lee Darren, Zhang Xuan, Kain Bailee, Bowman Michael, Nicolet Deedra, Wang Zhe, Stone Richard M, Mrózek Krzysztof, Carroll Andrew J, Starczynowski Daniel T, Levine Ross L, Byrd John C, Eisfeld Ann-Kathrin, Salomonis Nathan, Grimes H Leighton, Bowman Robert L, Miles Linde A

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Аннотация

Acute myeloid leukemia (AML) is a multi-clonal disease, existing as a milieu of clones with unique but related genotypes as initiating clones acquire subsequent mutations. However, bulk sequencing cannot fully capture AML clonal architecture or the clonal evolution that occurs as patients undergo therapy. To interrogate clonal evolution, we performed simultaneous single cell molecular profiling and immunophenotyping on 43 samples from 32 NPM1-mutant AML patients at different stages of disease. Here we show that diagnosis and relapsed AML samples display similar clonal architecture patterns, but signaling mutations can drive increased clonal diversity specifically at relapse. We uncovered unique genotype-immunophenotype relationships regardless of disease state, suggesting leukemic lineage trajectories can be hard-wired by the mutations present. Analysis of longitudinal samples from patients on therapy identified dynamic clonal, transcriptomic, and immunophenotypic changes. Our studies provide resolved understanding of leukemic clonal evolution and the relationships between genotype and cell state in leukemia biology.

Для цитирования: Drucker Morgan, Lee Darren, Zhang Xuan, Kain Bailee, Bowman Michael, Nicolet Deedra, Wang Zhe, Stone Richard M, Mrózek Krzysztof, Carroll Andrew J, Starczynowski Daniel T, Levine Ross L, Byrd John C, Eisfeld Ann-Kathrin, Salomonis Nathan, Grimes H Leighton, Bowman Robert L, Miles Linde A. Genotype-immunophenotype relationships in NPM1-mutant AML clonal evolution uncovered by single cell multiomic analysis.. bioRxiv : the preprint server for biology. 2024. DOI: 10.1101/2024.11.11.623033.
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