Single-cell multi-omics reveals elevated plasticity and stem-cell-like blasts relevant to the poor prognosis of KMT2A-rearranged leukemia
Chen, C.; Yu, W.; Alikarami, F.; Qiu, Q.; Chen, C.-h.; Flournoy, J.; Gao, P.; Uzun, Y.; Fang, L.; Yu, Y.; Zhu, Q.; Wang, K.; Libbrecht, C.; Felmeister, A.; Rozich, I.; Ding, Y.-y.; Hunger, S. P.; Wu, H.; Brown, P. A.; Guest, E. M.; Barrett, D. M.; Bernt, K. M.; Tan, K.
Show abstract
Infant ALL is a devastating malignancy caused by rearrangements of the KMT2A gene (KMT2A-r) in approximately 70% of patients. The outcome is dismal and younger age at diagnosis is associated with increased risk of relapse. To discover age-specific differences and critical drivers that mediate the poor outcome in KMT2A-r ALL, we subjected KMT2A-r leukemias and normal hematopoietic cells from patients of different ages to multi-omic single cell analysis using scRNA-Seq, scATAC-Seq and snmC-Seq2. We uncovered the following critical new insights: Leukemia cells from infants younger than 6 months have a greatly increased lineage plasticity and contain a hematopoietic stem and progenitor-like (HSPC-like) population compared to older infants. We identified an immunosuppressive signaling circuit between the HSPC-like blasts and cytotoxic lymphocytes in younger patients. Both observations offer a compelling explanation for the ability of leukemias in young infants to evade chemotherapy and immune mediated control. Our analysis also revealed pre-existing lymphomyeloid primed progenitor and myeloid blasts at initial diagnosis of B-ALL. Tracking of leukemic clones in two patients whose leukemia underwent a lineage switch documented the evolution of such clones into frank AML. These findings provide critical insights into KMT2A-r ALL and have potential clinical implications for targeted inhibitors or multi-target immunotherapy approaches. Beyond infant ALL, our study demonstrates the power of single cell multi-omics to detect tumor intrinsic and extrinsic factors affecting rare but critical subpopulations within a malignant population that ultimately determines patient outcome.
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