Publication

Single-cell RNA sequencing distinctly characterizes the wide heterogeneity in pediatric mixed phenotype acute leukemia

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Last modified
  • 06/25/2025
Type of Material
Authors
    Hope Mumme, Emory UniversitySunil Raikar, Emory UniversitySwati Sharma Bhasin, Emory UniversityBeena/Elizabeth Thomas, Emory Universitytaylor Lawrence, Children's Healthcare of AtlantaElizabeth P. Weinzierl, Children's Healthcare of AtlantaYakun Pang, Stanford UniversityDeborah DeRyckere, Emory UniversityChuck Gawad, Stanford UniversityDan Wechsler, Emory UniversityChristopher Porter, Emory UniversitySharon M. Castellino, Emory UniversityDouglas K. Graham, Emory UniversityManoj Bhasin, Emory University
Language
  • English
Date
  • 2023-10-16
Publisher
  • Springer Nature
Publication Version
Copyright Statement
  • © The Author(s) 2023
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 15
Start Page
  • 83
Grant/Funding Information
  • The study is supported through funding from the Children’s Oncology Group—Alexis and Jerry Bednyak Foundation Award for Research in High-Risk Leukemia (SSR, MKB), CURE Childhood Cancer Foundation (DKG), and Emory startup funds (MKB).
Supplemental Material (URL)
Abstract
  • Background Mixed phenotype acute leukemia (MPAL), a rare subgroup of leukemia characterized by blast cells with myeloid and lymphoid lineage features, is difficult to diagnose and treat. A better characterization of MPAL is essential to understand the subtype heterogeneity and how it compares with acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL). Therefore, we performed single-cell RNA sequencing (scRNAseq) on pediatric MPAL bone marrow (BM) samples to develop a granular map of the MPAL blasts and microenvironment landscape. Methods We analyzed over 40,000 cells from nine pediatric MPAL BM samples to generate a single-cell transcriptomic landscape of B/myeloid (B/My) and T/myeloid (T/My) MPAL. Cells were clustered using unsupervised single-cell methods, and malignant blast and immune clusters were annotated. Differential expression analysis was performed to identify B/My and T/My MPAL blast-specific signatures by comparing transcriptome profiles of MPAL with normal BM, AML, and ALL. Gene set enrichment analysis (GSEA) was performed, and significantly enriched pathways were compared in MPAL subtypes. Results B/My and T/My MPAL blasts displayed distinct blast signatures. Transcriptomic analysis revealed that B/My MPAL profile overlaps with B-ALL and AML samples. Similarly, T/My MPAL exhibited overlap with T-ALL and AML samples. Genes overexpressed in both MPAL subtypes’ blast cells compared to AML, ALL, and healthy BM included MAP2K2 and CD81. Subtype-specific genes included HBEGF for B/My and PTEN for T/My. These marker sets segregated bulk RNA-seq AML, ALL, and MPAL samples based on expression profiles. Analysis comparing T/My MPAL to ETP, near-ETP, and non-ETP T-ALL, showed that T/My MPAL had greater overlap with ETP-ALL cases. Comparisons among MPAL subtypes between adult and pediatric samples showed analogous transcriptomic landscapes of corresponding subtypes. Transcriptomic differences were observed in the MPAL samples based on response to induction chemotherapy, including selective upregulation of the IL-16 pathway in relapsed samples. Conclusions We have for the first time described the single-cell transcriptomic landscape of pediatric MPAL and demonstrated that B/My and T/My MPAL have distinct scRNAseq profiles from each other, AML, and ALL. Differences in transcriptomic profiles were seen based on response to therapy, but larger studies will be needed to validate these findings.
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Research Categories
  • Health Sciences, Oncology
  • Biology, Cell

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