17 DHC 2025
22 - 24 January 2025
Myeloid Abstracts (2)
Abstract
1210: Single cell multi-omic analysis of NPM1-mutated AML
22 January
15:15 15:30
Onur Karakaslar
Paper

 

Resolving inter- and intra-patient heterogeneity in NPM1-mutated AML at single cell resolution

 

 

Emin Onur Karakaslar (1,2,3), Eva M Argiro (4), Nadine E Struckman (4), Ramin Shirali Hossein Zade (1,2,3), Jeppe F Severens (1,2,3), Willy M Honders (4), Susan Kloet (5), Hendrik Veelken (4), Marcel JT Reinders (1,2,3), Marieke Griffioen (4), Erik B van den Akker (1,2,3)
(1) LUMC, Department of Biomedical Data Sciences, Leiden, (2) LUMC, Pattern Recognition & Bioinformatics, Delft, (3) LUMC, Leiden Center for Computational Oncology, Leiden, (4) LUMC, Department of Hematology, Leiden, (5) LUMC, Department of Human Genetics, Leiden
No potential conflicts of interest
Introduction

NPM1-mutated AML is one of the largest entities in international classification systems of myeloid neoplasms, which are based on integrating morphologic and clinical data with genomic data. Previous research, however, indicates that bulk transcriptomics-based subtyping may improve prognostication and therapy guidance.

Methods

Here, we characterized the heterogeneity in NPM1-mutated AML by performing single-cell RNA-sequencing and spectral flow cytometry on 16 AML subjects belonging to three distinct transcriptional subtypes that we previously identified by bulk transcriptomics. Using single-cell expression profiling we generated a comprehensive atlas of NPM1-mutated AML, collectively reconstituting complete myelopoiesis.

Results

The three NPM1-mutated subtypes showed consistent differences in proportions of myeloid cell clusters with distinct patterns in lineage commitment and maturational arrest. Nevertheless, malignant cells were detected across all myeloid cell clusters for all samples, indicating that NPM1-mutated AMLAML is heavily skewed but not fully arrested in myelopoiesis. Same-sample multi-color spectral flow cytometry recapitulated these skewing patterns, indicating that the NPM1-mutated subtypes can be consistently identified across platforms. Moreover, our analyses highlighted differences in the abundance of rare hematopoietic stem and progenitor cells suggesting that skewing in two subtypes occurs early in myelopoiesis.

Conclusion

To conclude, by harnessing single-cell RNA-sequencing and spectral flow cytometry, we provide a detailed description of three distinct and reproducible patterns in lineage skewing in NPM1-mutated AML that may have potential relevance for prognosis and treatment of patients with NPM1-mutated AML.

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