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Longitudinal single-cell transcriptomics reveals distinct patterns of recurrence in acute myeloid leukemia

Yanan Zhai, Prashant Singh, Anna Dolnik, Peter Brazda, Nader Atlasy, Nunzio del Gaudio, Konstanze Döhner, Hartmut Döhner, Saverio Minucci, Joost Martens, Lucia Altucci, Wout Megchelenbrink, Lars Bullinger, Hendrik G. Stunnenberg
doi: https://doi.org/10.1101/2022.01.04.474929
Yanan Zhai
1Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, Vico L. De Crecchio 7, 80138 Naples, Italy
2Prinses Maxima Centrum, Heidelberglaan 25, 3584 CS Utrecht, The Netherlands
3Department of Molecular Biology, Faculty of Science, Radboud University, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
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Prashant Singh
2Prinses Maxima Centrum, Heidelberglaan 25, 3584 CS Utrecht, The Netherlands
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Anna Dolnik
4Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Medical Department, Division of Hematology, Oncology, and Cancer Immunology, Berlin, Germany
5German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
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Peter Brazda
2Prinses Maxima Centrum, Heidelberglaan 25, 3584 CS Utrecht, The Netherlands
3Department of Molecular Biology, Faculty of Science, Radboud University, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
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Nader Atlasy
3Department of Molecular Biology, Faculty of Science, Radboud University, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
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Nunzio del Gaudio
1Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, Vico L. De Crecchio 7, 80138 Naples, Italy
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Konstanze Döhner
6Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
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Hartmut Döhner
6Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
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Saverio Minucci
7Department of Experimental Oncology, European Institute of Oncology, Milan, Italy
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Joost Martens
3Department of Molecular Biology, Faculty of Science, Radboud University, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
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Lucia Altucci
1Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, Vico L. De Crecchio 7, 80138 Naples, Italy
8BIOGEM, Institute of Molecular Biology and Genetics, Ariano Irpino (AV), Italy
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Wout Megchelenbrink
1Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, Vico L. De Crecchio 7, 80138 Naples, Italy
2Prinses Maxima Centrum, Heidelberglaan 25, 3584 CS Utrecht, The Netherlands
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Lars Bullinger
4Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Medical Department, Division of Hematology, Oncology, and Cancer Immunology, Berlin, Germany
5German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
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Hendrik G. Stunnenberg
2Prinses Maxima Centrum, Heidelberglaan 25, 3584 CS Utrecht, The Netherlands
3Department of Molecular Biology, Faculty of Science, Radboud University, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
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  • For correspondence: H.Stunnenberg@ncmls.ru.nl
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Abstract

The heterogeneity and evolution of AML blasts can render therapeutic interventions ineffective in a yet poorly understood patient-specific manner. To gain insight into the clonal heterogeneity of diagnosis (Dx) and relapse (Re) pairs, we employed whole-exome sequencing and single-cell RNA-seq to longitudinally profile two t(8;21) (AML1-ETO = RUNX1-RUNX1T1), and four FLT3-ITD AML cases.

The single cell RNA data underpinned the tumor heterogeneity amongst patient blasts. The Dx-Re transcriptomes of high risk FLT3-ITD pairs formed a continuum from extensively changed in the absence of significantly mutational changes in AML-associated genes to rather similar Dx-Re pair of an intermediate risk FLT3-ITD. In one high risk FLT3-ITD pair, a pathway switched from an AP-1 regulated network in Dx to mTOR signaling in Re. The distinct AML1-ETO pairs comprise clusters that share genes related to hematopoietic stem cell maintenance and cell migration suggesting that the Re leukemic stem cell-like (LSC-like) cells probably evolved from the Dx LSC-like cells.

In summary, our study revealed a continuum from drastic transcriptional changes to extensive similarities between respective Dx-Re pairs that are poorly explained by the well-established model of clonal evolution. Our results suggest alternative and currently unappreciated and unexplored mechanisms leading to therapeutic resistance and AML recurrence.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵* Senior authors

  • Competing interests The authors declare no competing interests.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted January 05, 2022.
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Longitudinal single-cell transcriptomics reveals distinct patterns of recurrence in acute myeloid leukemia
Yanan Zhai, Prashant Singh, Anna Dolnik, Peter Brazda, Nader Atlasy, Nunzio del Gaudio, Konstanze Döhner, Hartmut Döhner, Saverio Minucci, Joost Martens, Lucia Altucci, Wout Megchelenbrink, Lars Bullinger, Hendrik G. Stunnenberg
bioRxiv 2022.01.04.474929; doi: https://doi.org/10.1101/2022.01.04.474929
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Longitudinal single-cell transcriptomics reveals distinct patterns of recurrence in acute myeloid leukemia
Yanan Zhai, Prashant Singh, Anna Dolnik, Peter Brazda, Nader Atlasy, Nunzio del Gaudio, Konstanze Döhner, Hartmut Döhner, Saverio Minucci, Joost Martens, Lucia Altucci, Wout Megchelenbrink, Lars Bullinger, Hendrik G. Stunnenberg
bioRxiv 2022.01.04.474929; doi: https://doi.org/10.1101/2022.01.04.474929

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