Single-cell multiomics reveals increased plasticity, resistant populations, and stem-cell–like blasts in KMT2A-rearranged leukemia

Changya Chen, Wenbao Yu, Fatemeh Alikarami, Qi Qiu, Chia-hui Chen, Jennifer Flournoy, Peng Gao, Yasin Uzun, Li Fang, James W. Davenport, Yuxuan Hu, Qin Zhu, Kai Wang, Clara Libbrecht, Alex Felmeister, Isaiah Rozich, Yang-yang Ding, Stephen P. Hunger, Carolyn A. Felix, Hao Wu, Patrick A. Brown, Erin M. Guest, David M. Barrett, Kathrin M. Bernt, Kai Tan

Abstract

KMT2A-rearranged (KMT2A-r) infant acute lymphoblastic leukemia (ALL) is a devastating malignancy with a dismal outcome, and younger age at diagnosis is associated with increased risk of relapse. To discover age-specific differences and critical drivers that mediate poor outcome in KMT2A-r ALL, we subjected KMT2A-r leukemias and normal hematopoietic cells from patients of different ages to single-cell multiomics analyses. We uncovered the following critical new insights: leukemia cells from patients <6 months have significantly increased lineage plasticity. Steroid response pathways are downregulated in the most immature blasts from younger patients. We identify a hematopoietic stem and progenitor-like (HSPC-like) population in the blood of younger patients that contains leukemic blasts and form an immunosuppressive signaling circuit with cytotoxic lymphocytes. These observations offer a compelling explanation for the ability of leukemias in young patients to evade chemotherapy and immune-mediated control. Our analysis also revealed preexisting lymphomyeloid primed progenitors and myeloid blasts at initial diagnosis of B-ALL. Tracking of leukemic clones in 2 patients whose leukemia underwent a lineage switch documented the evolution of such clones into frank acute myeloid leukemia (AML). These findings provide critical insights into KMT2A-r ALL and have clinical implications for molecularly targeted and immunotherapy approaches. Beyond infant ALL, our study demonstrates the power of single-cell multiomics to detect tumor intrinsic and extrinsic factors affecting rare but critical subpopulations within a malignant population that ultimately determines patient outcome.

Datasets

1. Global dataset of infant KMT2Ar B-ALL
Metadata
sample
Ctype
Ctype_Final
projCtype
PresumedFusion
Age
donor_id
sex_ontology_term_id
assay_ontology_term_id
development_stage_ontology_term_id
disease_ontology_term_id
cell_type_ontology_term_id
tissue_ontology_term_id
organism_ontology_term_id
self_reported_ethnicity_ontology_term_id
suspension_type
tissue_type
cell_type
assay
disease
organism
sex
tissue
self_reported_ethnicity
development_stage
PAZGKI10408 cells
PAYUZM9653 cells
PAZBSZ9099 cells
PAYUZJ8883 cells
PAYYNY8554 cells
PAYLNH8510 cells
PAYKGI8358 cells
PAZFPH7948 cells
PAZBGV7721 cells
PAYZLC7664 cells
PAYWJZ7635 cells
PAYWKL7631 cells
11546257 cells
PAYZWN 5734 cells
PAYSBA5148 cells
PAYYBG4555 cells
PAZBLA4083 cells
PAYZVY747 cells
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Single-cell multiomics reveals increased plasticity, resistant populations, and stem-cell–like blasts in KMT2A-rearranged leukemia

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Source data

https://cellxgene.cziscience.com/collections/10ec9198-584e-4a7e-8a24-4a332915a4ef

Alias names

HTAN-CHOP, phs002371, PMID34864916, PMC8990373

Cite this study

Chen, C., Yu, W., Alikarami, F., Qiu, Q., Chen, C.H., Flournoy, J., Gao, P., Uzun, Y., Fang, L., Davenport, J.W. and Hu, Y., 2022. Single-cell multiomics reveals increased plasticity, resistant populations, and stem-cell–like blasts in KMT2A-rearranged leukemia. Blood, The Journal of the American Society of Hematology, 139(14), pp.2198-2211. https://doi.org/10.1182/blood.2021013442