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Multiomic single cell sequencing identifies stemlike nature of mixed phenotype acute leukemia

Author

Listed:
  • Cheryl A. C. Peretz

    (University of California San Francisco
    University of California San Francisco)

  • Vanessa E. Kennedy

    (University of California San Francisco)

  • Anushka Walia

    (University of California San Francisco)

  • Cyrille L. Delley

    (University of California San Francisco)

  • Andrew Koh

    (University of California San Francisco)

  • Elaine Tran

    (University of California San Francisco)

  • Iain C. Clark

    (University of California Berkeley)

  • Corey E. Hayford

    (Fluent Biosciences Inc.)

  • Chris D’Amato

    (Fluent Biosciences Inc.)

  • Yi Xue

    (Fluent Biosciences Inc.)

  • Kristina M. Fontanez

    (Fluent Biosciences Inc.)

  • Aaron A. May-Zhang

    (Fluent Biosciences Inc.)

  • Trinity Smithers

    (Fluent Biosciences Inc.)

  • Yigal Agam

    (Fluent Biosciences Inc.)

  • Qian Wang

    (The First Affiliated Hospital of Soochow University
    Soochow University)

  • Hai-ping Dai

    (The First Affiliated Hospital of Soochow University
    Soochow University)

  • Ritu Roy

    (University of California San Francisco)

  • Aaron C. Logan

    (University of California San Francisco)

  • Alexander E. Perl

    (Perelman School of Medicine at the University of Pennsylvania)

  • Adam Abate

    (University of California San Francisco)

  • Adam Olshen

    (University of California San Francisco
    University of California San Francisco)

  • Catherine C. Smith

    (University of California San Francisco
    University of California San Francisco)

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.

Suggested Citation

  • Cheryl A. C. Peretz & Vanessa E. Kennedy & Anushka Walia & Cyrille L. Delley & Andrew Koh & Elaine Tran & Iain C. Clark & Corey E. Hayford & Chris D’Amato & Yi Xue & Kristina M. Fontanez & Aaron A. Ma, 2024. "Multiomic single cell sequencing identifies stemlike nature of mixed phenotype acute leukemia," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52317-2
    DOI: 10.1038/s41467-024-52317-2
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