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Abstract
Despite recent work linking mixed phenotype acute leukemia (MPAL) to certain genetic lesions, specific driver mutations remain undefined for a significant proportion of patients and no genetic subtype is predictive of clinical outcomes. Moreover, therapeutic strategy for MPAL remains unclear, and prognosis is overall poor. We performed multiomic single cell profiling of 14 newly diagnosed adult MPAL patients to characterize the inter- and intra-tumoral transcriptional, immunophenotypic, and genetic landscapes of MPAL. We show that neither genetic profile nor transcriptome reliably correlate with specific MPAL immunophenotypes. Despite this, we find that MPAL blasts express a shared stem cell-like transcriptional profile indicative of high differentiation potential. Patients with the highest differentiation potential demonstrate inferior survival in our dataset. A gene set score, MPAL95, derived from genes highly enriched in the most stem-like MPAL cells, is applicable to bulk RNA sequencing data and is predictive of survival in an independent patient cohort, suggesting a potential strategy for clinical risk stratification.
The genetic characterisation of mixed phenotype acute leukemia (MPAL) remains limited. Here, single cell multi-omics analysis of 14 adult MPAL patients identifies a stem cell-like transcriptomic signature expressed by MPAL blasts that is indicative of high differentiation potential and gives rise to a gene set score MPAL95 that is predictive of survival.
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1 University of California San Francisco, Division of Hematology and Oncology, Department of Pediatrics, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811); University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811)
2 University of California San Francisco, Division of Hematology and Oncology, Department of Medicine, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811)
3 University of California San Francisco, Department of Bioengineering and Therapeutic Sciences, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811)
4 University of California Berkeley, Department of Bioengineering, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878)
5 Fluent Biosciences Inc., Watertown, USA (GRID:grid.47840.3f)
6 The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Suzhou, People’s Republic of China (GRID:grid.429222.d) (ISNI:0000 0004 1798 0228); Soochow University, Institute of Blood and Marrow Transplantation, Collaborative Innovation Center of Hematology, Suzhou, People’s Republic of China (GRID:grid.263761.7) (ISNI:0000 0001 0198 0694)
7 University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811)
8 Perelman School of Medicine at the University of Pennsylvania, Department of Medicine, Division of Hematology-Oncology, Philadelphia, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972)
9 University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811); University of California San Francisco, Department of Epidemiology and Biostatistics, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811)
10 University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811); University of California San Francisco, Division of Hematology and Oncology, Department of Medicine, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811)