AI Article Synopsis

  • Mixed phenotype acute leukemia (MPAL) is a rare type of leukemia with both myeloid and lymphoid features, making it challenging to diagnose and treat; the study aimed to better characterize MPAL using single-cell RNA sequencing (scRNAseq) of pediatric bone marrow samples.
  • Analysis of over 40,000 cells revealed distinct blast signatures for B/myeloid (B/My) and T/myeloid (T/My) MPAL subtypes, with both exhibiting significant overlaps with acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL), alongside specific genes unique to each MPAL subtype.
  • The research found that while B/My MPAL is more similar to B-ALL

Article 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577904PMC
http://dx.doi.org/10.1186/s13073-023-01241-zDOI Listing

Publication Analysis

Top Keywords

t/my mpal
28
mpal
20
pediatric mpal
12
mpal samples
12
b/my t/my
12
single-cell rna
8
rna sequencing
8
mixed phenotype
8
phenotype acute
8
acute leukemia
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!