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Pre-existing stem cell heterogeneity dictates clonal responses to the acquisition of leukemic driver mutations

Singh, Indranil, Fernandez-Perez, Daniel, Sanchez, Pedro Sanchez, Rodriguez-Fraticelli, Alejo E.·2025·Cell Stem Cell

Abstract

Cancer cells display wide phenotypic variation even across patients with the same mutations. Differences in the cell of origin provide a potential explanation, but traditional assays lack the resolution to distinguish clonally heterogeneous subsets of stem and progenitor cells. To address this challenge, we developed simultaneous tracking of recombinase activation and clonal kinetics (STRACK), a method to trace clonal dynamics and gene expression before and after the acquisition of cancer mutations. Using mouse models, we studied two leukemic mutations, Dnmt3a-R878H and Npm1c, and found that their effect was highly variable across different stem cell states. Specifically, a subset of differentiation-primed stem cells, which normally becomes outcompeted with time, expands with both mutations. Intriguingly, Npm1c mutations reversed the intrinsic bias of the clone of origin, with differentiation-primed stem cells giving rise to more primitive malignant states. Thus, we highlight the relevance of single-cell lineage tracing to unravel early events in cancer evolution and posit that different cellular histories carry distinct cancer phenotypic potential.

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Research works printed but not linked: 85

  1. Lenz, 2022, The Origins of Phenotypic Heterogeneity in Cancer, Cancer Res., 82, 3, 10.1158/0008-5472.CAN-21-1940 · DOI
  2. Blanpain, 2013, Tracing the cellular origin of cancer, Nat. Cell Biol., 15, 126, 10.1038/ncb2657 · DOI
  3. Visvader, 2011, Cells of origin in cancer, Nature, 469, 314, 10.1038/nature09781 · DOI
  4. Baggiolini, 2021, Developmental chromatin programs determine oncogenic competence in melanoma, Science, 373, 10.1126/science.abc1048 · DOI
  5. Rajbhandari, 2023, Single-cell mapping identifies MSI cells as a common origin for diverse subtypes of pancreatic cancer, Cancer Cell, 41, 1989, 10.1016/j.ccell.2023.09.008 · DOI
  6. Weiss, 2022, Anatomic position determines oncogenic specificity in melanoma, Nature, 604, 354, 10.1038/s41586-022-04584-6 · DOI
  7. Krivtsov, 2013, Cell of origin determines clinically relevant subtypes of MLL-rearranged AML, Leukemia, 27, 852, 10.1038/leu.2012.363 · DOI · Paper page
  8. Cai, 2020, Leukemia Cell of Origin Influences Apoptotic Priming and Sensitivity to LSD1 Inhibition, Cancer Discov., 10, 1500, 10.1158/2159-8290.CD-19-1469 · DOI
  9. Zeisig, 2021, Functional reconstruction of human AML reveals stem cell origin and vulnerability of treatment-resistant MLL-rearranged leukemia, Sci. Transl. Med., 13, 10.1126/scitranslmed.abc4822 · DOI
  10. Taussig, 2010, Leukemia-initiating cells from some acute myeloid leukemia patients with mutated nucleophosmin reside in the CD34(-) fraction, Blood, 115, 1976, 10.1182/blood-2009-02-206565 · DOI
  11. Cozzio, 2003, Similar MLL-associated leukemias arising from self-renewing stem cells and short-lived myeloid progenitors, Genes Dev., 17, 3029, 10.1101/gad.1143403 · DOI
  12. Huntly, 2004, MOZ-TIF2, but not BCR-ABL, confers properties of leukemic stem cells to committed murine hematopoietic progenitors, Cancer Cell, 6, 587, 10.1016/j.ccr.2004.10.015 · DOI · Paper page
  13. George, 2016, Leukaemia cell of origin identified by chromatin landscape of bulk tumour cells, Nat. Commun., 7, 12166, 10.1038/ncomms12166 · DOI
  14. SanMiguel, 2022, Cell origin-dependent cooperativity of mutant Dnmt3a and Npm1 in clonal hematopoiesis and myeloid malignancy, Blood Adv., 6, 3666, 10.1182/bloodadvances.2022006968 · DOI
  15. Stavropoulou, 2016, MLL-AF9 Expression in Hematopoietic Stem Cells Drives a Highly Invasive AML Expressing EMT-Related Genes Linked to Poor Outcome, Cancer Cell, 30, 43, 10.1016/j.ccell.2016.05.011 · DOI
  16. Paul, 2016, Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors, Cell, 164, 325, 10.1016/j.cell.2015.12.046 · DOI
  17. Giladi, 2018, Single-cell characterization of haematopoietic progenitors and their trajectories in homeostasis and perturbed haematopoiesis, Nat. Cell Biol., 20, 836, 10.1038/s41556-018-0121-4 · DOI · Paper page
  18. Jindal, 2024, Single-cell lineage capture across genomic modalities with CellTag-multi reveals fate-specific gene regulatory changes, Nat. Biotechnol., 42, 946, 10.1038/s41587-023-01931-4 · DOI · Paper page
  19. Wang, 2022, CoSpar identifies early cell fate biases from single-cell transcriptomic and lineage information, Nat. Biotechnol., 40, 1066, 10.1038/s41587-022-01209-1 · DOI
  20. Wagner, 2020, Lineage tracing meets single-cell omics: opportunities and challenges, Nat. Rev. Genet., 21, 410, 10.1038/s41576-020-0223-2 · DOI · Paper page
  21. Naik, 2013, Diverse and heritable lineage imprinting of early haematopoietic progenitors, Nature, 496, 229, 10.1038/nature12013 · DOI · Paper page
  22. Dykstra, 2007, Long-term propagation of distinct hematopoietic differentiation programs in vivo, Cell Stem Cell, 1, 218, 10.1016/j.stem.2007.05.015 · DOI · Paper page
  23. Tian, 2021, Clonal multi-omics reveals Bcor as a negative regulator of emergency dendritic cell development, Immunity, 54, 1338, 10.1016/j.immuni.2021.03.012 · DOI
  24. Haas, 2018, Causes and Consequences of Hematopoietic Stem Cell Heterogeneity, Cell Stem Cell, 22, 627, 10.1016/j.stem.2018.04.003 · DOI
  25. Tong, 2021, Hematopoietic stem cell heterogeneity is linked to the initiation and therapeutic response of myeloproliferative neoplasms, Cell Stem Cell, 28, 780, 10.1016/j.stem.2021.02.026 · DOI
  26. Wilkinson, 2019, Long-term ex vivo haematopoietic-stem-cell expansion allows nonconditioned transplantation, Nature, 571, 117, 10.1038/s41586-019-1244-x · DOI · Paper page
  27. Che, 2022, Identification and characterization of in vitro expanded hematopoietic stem cells, EMBO Rep., 23, 10.15252/embr.202255502 · DOI
  28. Loberg, 2019, Sequentially inducible mouse models reveal that Npm1 mutation causes malignant transformation of Dnmt3a-mutant clonal hematopoiesis, Leukemia, 33, 1635, 10.1038/s41375-018-0368-6 · DOI
  29. Zhang, 2024, Ex vivo expansion potential of murine hematopoietic stem cells is a rare property only partially predicted by phenotype, eLife, 12, 10.7554/eLife.91826.3 · DOI
  30. Rodriguez-Fraticelli, 2020, Single-cell lineage tracing unveils a role for TCF15 in haematopoiesis, Nature, 583, 585, 10.1038/s41586-020-2503-6 · DOI · Paper page
  31. Guryanova, 2016, DNMT3A mutations promote anthracycline resistance in acute myeloid leukemia via impaired nucleosome remodeling, Nat. Med., 22, 1488, 10.1038/nm.4210 · DOI · Paper page
  32. Jakobsen, 2023, Selective advantage of mutant stem cells in clonal hematopoiesis occurs by attenuating the deleterious effects of inflammation and aging, bioRxiv
  33. Meng, 2023, Epigenetic programming defines haematopoietic stem cell fate restriction, Nat. Cell Biol., 25, 812, 10.1038/s41556-023-01137-5 · DOI
  34. Buza-Vidas, 2011, FLT3 expression initiates in fully multipotent mouse hematopoietic progenitor cells, Blood, 118, 1544, 10.1182/blood-2010-10-316232 · DOI
  35. Beaudin, 2016, A Transient Developmental Hematopoietic Stem Cell Gives Rise to Innate-like B and T Cells, Cell Stem Cell, 19, 768, 10.1016/j.stem.2016.08.013 · DOI · Paper page
  36. Stonehouse, 2024, Clonal analysis of fetal hematopoietic stem/progenitor cell subsets reveals how post-transplantation capabilities are distributed, bioRxiv
  37. Yamamoto, 2018, Large-Scale Clonal Analysis Resolves Aging of the Mouse Hematopoietic Stem Cell Compartment, Cell Stem Cell, 22, 600, 10.1016/j.stem.2018.03.013 · DOI · Paper page
  38. Carrelha, 2018, Hierarchically related lineage-restricted fates of multipotent haematopoietic stem cells, Nature, 554, 106, 10.1038/nature25455 · DOI
  39. Morcos, 2022, Fate mapping of hematopoietic stem cells reveals two pathways of native thrombopoiesis, Nat. Commun., 13, 4504, 10.1038/s41467-022-31914-z · DOI
  40. Carrelha, 2024, Alternative platelet differentiation pathways initiated by nonhierarchically related hematopoietic stem cells, Nat. Immunol., 25, 1007, 10.1038/s41590-024-01845-6 · DOI
  41. Nam, 2022, Single-cell multi-omics of human clonal hematopoiesis reveals that DNMT3A R882 mutations perturb early progenitor states through selective hypomethylation, Nat. Genet., 54, 1514, 10.1038/s41588-022-01179-9 · DOI · Paper page
  42. Uckelmann, 2020, Therapeutic targeting of preleukemia cells in a mouse model of NPM1 mutant acute myeloid leukemia, Science, 367, 586, 10.1126/science.aax5863 · DOI
  43. SanMiguel, 2022, Distinct tumor necrosis factor alpha Receptors Dictate Stem Cell Fitness versus Lineage Output in Dnmt3a-Mutant Clonal Hematopoiesis, Cancer Discov., 12, 2763, 10.1158/2159-8290.CD-22-0086 · DOI · Paper page
  44. Brunetti, 2018, Mutant NPM1 Maintains the Leukemic State through HOX Expression, Cancer Cell, 34, 499, 10.1016/j.ccell.2018.08.005 · DOI
  45. Li, 2017, The EMT regulator ZEB2 is a novel dependency of human and murine acute myeloid leukemia, Blood, 129, 497, 10.1182/blood-2016-05-714493 · DOI
  46. Ono, 2013, Plzf drives MLL-fusion-mediated leukemogenesis specifically in long-term hematopoietic stem cells, Blood, 122, 1271, 10.1182/blood-2012-09-456665 · DOI
  47. Mer, 2021, Biological and therapeutic implications of a unique subtype of NPM1 mutated AML, Nat. Commun., 12, 1054, 10.1038/s41467-021-21233-0 · DOI
  48. Naldini, 2023, Longitudinal single-cell profiling of chemotherapy response in acute myeloid leukemia, Nat. Commun., 14, 1285, 10.1038/s41467-023-36969-0 · DOI
  49. Mann, 1998, Hox proteins meet more partners, Curr. Opin. Genet. Dev., 8, 423, 10.1016/S0959-437X(98)80113-5 · DOI
  50. Li, 2013, PBX3 is an important cofactor of HOXA9 in leukemogenesis, Blood, 121, 1422, 10.1182/blood-2012-07-442004 · DOI
  51. Fennell, 2022, Non-genetic determinants of malignant clonal fitness at single-cell resolution, Nature, 601, 125, 10.1038/s41586-021-04206-7 · DOI
  52. Goyal, 2023, Diverse clonal fates emerge upon drug treatment of homogeneous cancer cells, Nature, 620, 651, 10.1038/s41586-023-06342-8 · DOI
  53. Schwartz, 2024, Transcriptional and functional consequences of Oncostatin M signaling on young Dnmt3a-mutant hematopoietic stem cells, Exp. Hematol., 130, 10.1016/j.exphem.2023.11.005 · DOI
  54. Uckelmann, 2023, Mutant NPM1 Directly Regulates Oncogenic Transcription in Acute Myeloid Leukemia, Cancer Discov., 13, 746, 10.1158/2159-8290.CD-22-0366 · DOI
  55. Bowman, 2024, In vivo models of subclonal oncogenesis and dependency in hematopoietic malignancy, Cancer Cell, 42, 1955, 10.1016/j.ccell.2024.10.009 · DOI
  56. Tzelepis, 2016, A CRISPR Dropout Screen Identifies Genetic Vulnerabilities and Therapeutic Targets in Acute Myeloid Leukemia, Cell Rep., 17, 1193, 10.1016/j.celrep.2016.09.079 · DOI · Paper page
  57. Pei, 2023, A Novel Type of Monocytic Leukemia Stem Cell Revealed by the Clinical Use of Venetoclax-Based Therapy, Cancer Discov., 13, 2032, 10.1158/2159-8290.CD-22-1297 · DOI
  58. Sango, 2024, RAS-mutant leukaemia stem cells drive clinical resistance to venetoclax, Nature, 636, 241, 10.1038/s41586-024-08137-x · DOI
  59. Levra Levron, 2023, Tissue memory relies on stem cell priming in distal undamaged areas, Nat. Cell Biol., 25, 740, 10.1038/s41556-023-01120-0 · DOI
  60. Del Poggetto, 2021, Epithelial memory of inflammation limits tissue damage while promoting pancreatic tumorigenesis, Science, 373, 10.1126/science.abj0486 · DOI
  61. Alonso-Curbelo, 2021, A gene-environment-induced epigenetic program initiates tumorigenesis, Nature, 590, 642, 10.1038/s41586-020-03147-x · DOI
  62. Chin, 2022, Aged healthy mice acquire clonal hematopoiesis mutations, Blood, 139, 629, 10.1182/blood.2021014235 · DOI
  63. Kapadia, 2024, Clonal dynamics and somatic evolution of haematopoiesis in mouse, bioRxiv
  64. Ganuza, 2019, The global clonal complexity of the murine blood system declines throughout life and after serial transplantation, Blood, 133, 1927, 10.1182/blood-2018-09-873059 · DOI
  65. Weinstock, 2023, Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis, Nature, 616, 755, 10.1038/s41586-023-05806-1 · DOI · Paper page
  66. Geurts, 2021, Evaluating CRISPR-based prime editing for cancer modeling and CFTR repair in organoids, Life Sci. Alliance, 4, 10.26508/lsa.202000940 · DOI · Paper page
  67. Sommerkamp, 2021, Engineering human hematopoietic environments through ossicle and bioreactor technologies exploitation, Exp. Hematol., 94, 20, 10.1016/j.exphem.2020.11.008 · DOI
  68. Frenz-Wiessner, 2024, Generation of complex bone marrow organoids from human induced pluripotent stem cells, Nat. Methods, 21, 868, 10.1038/s41592-024-02172-2 · DOI
  69. Khan, 2023, Human Bone Marrow Organoids for Disease Modeling, Discovery, and Validation of Therapeutic Targets in Hematologic Malignancies, Cancer Discov., 13, 364, 10.1158/2159-8290.CD-22-0199 · DOI
  70. Chen, 2022, Live-seq enables temporal transcriptomic recording of single cells, Nature, 608, 733, 10.1038/s41586-022-05046-9 · DOI
  71. Benz, 2008, The stream of precursors that colonizes the thymus proceeds selectively through the early T lineage precursor stage of T cell development, J. Exp. Med., 205, 1187, 10.1084/jem.20072168 · DOI
  72. Bindels, 2017, mScarlet: a bright monomeric red fluorescent protein for cellular imaging, Nat. Methods, 14, 53, 10.1038/nmeth.4074 · DOI
  73. Balleza, 2018, Systematic characterization of maturation time of fluorescent proteins in living cells, Nat. Methods, 15, 47, 10.1038/nmeth.4509 · DOI
  74. Köster, 2012, Snakemake--a scalable bioinformatics workflow engine, Bioinformatics, 28, 2520, 10.1093/bioinformatics/bts480 · DOI · Paper page
  75. Liu, 2019, Algorithms for efficiently collapsing reads with Unique Molecular Identifiers, PeerJ, 7, 10.7717/peerj.8275 · DOI
  76. Hao, 2024, Dictionary learning for integrative, multimodal and scalable single-cell analysis, Nat. Biotechnol., 42, 293, 10.1038/s41587-023-01767-y · DOI · Paper page
  77. Germain, 2021, Doublet identification in single-cell sequencing data using scDblFinder, F1000Res, 10, 979, 10.12688/f1000research.73600.1 · DOI · Paper page
  78. Lun, 2019, EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data, Genome Biol., 20, 63, 10.1186/s13059-019-1662-y · DOI
  79. Finak, 2015, MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data, Genome Biol., 16, 278, 10.1186/s13059-015-0844-5 · DOI · Paper page
  80. Fang, 2023, GSEApy: a comprehensive package for performing gene set enrichment analysis in Python, Bioinformatics, 39, 10.1093/bioinformatics/btac757 · DOI
  81. Bibby, 2022, Systematic single-cell pathway analysis to characterize early T cell activation, Cell Rep., 41, 10.1016/j.celrep.2022.111697 · DOI
  82. Alquicira-Hernandez, 2021, Nebulosa recovers single-cell gene expression signals by kernel density estimation, Bioinformatics, 37, 2485, 10.1093/bioinformatics/btab003 · DOI · Paper page
  83. Blanco-Carmona, 2022, Generating publication ready visualizations for Single Cell transcriptomics using SCpubr, bioRxiv
  84. Wilkinson, 2020, Long-term ex vivo expansion of mouse hematopoietic stem cells, Nat. Protoc., 15, 628, 10.1038/s41596-019-0263-2 · DOI
  85. Biddy, 2018, Single-cell mapping of lineage and identity in direct reprogramming, Nature, 564, 219, 10.1038/s41586-018-0744-4 · DOI

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Metadata

Authors
Singh, I., Fernandez-Perez, D., Sanchez, P. S., & Rodriguez-Fraticelli, A. E.
Venue
Cell Stem Cell
Publisher
Elsevier BV
Published
2025-04
Volume
32
Issue
4
Pages
564-580.e6
ISSN
1934-5909
Cited by
25
References
13
Language
en
Funders
  • Horizon 2020
  • Agència de Gestió d'Ajuts Universitaris i de Recerca (2017 SGR 1322)
  • Caixabank SA
  • EU Framework Programme for Research and Innovation Marie Skłodowska-Curie Actions (945352, 101109276)
  • Generalitat de Catalunya
  • Institut Ruđer Bošković
  • Universitat de Barcelona
  • Institució Catalana de Recerca i Estudis Avançats
  • Ministerio de Ciencia e Innovación (PID2020-114638RA-I00)
  • HORIZON EUROPE European Research Council (101042992)
  • CRIS Cancer Foundation (PR_EX_2020-24)
  • European Research Council

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Singh, I., Fernandez-Perez, D., Sanchez, P. S., & Rodriguez-Fraticelli, A. E. (2025). Pre-existing stem cell heterogeneity dictates clonal responses to the acquisition of leukemic driver mutations. Cell Stem Cell. https://doi.org/10.1016/j.stem.2025.01.012