Back

The cellular state space of AML unveils novel NPM1 subtypes with distinct clinical outcomes and immune evasion properties

Lilljebjörn, H.; Pena-Martinez, P.; Thorsson, H.; Henningsson, R.; Rissler, M.; Landberg, N.; Puente-Moncada, N.; von Palffy, S.; Rissler, V.; Stanek, P.; Desponds, J.; Zhong, X.; Juliusson, G.; Lazarevic, V.; Lehmann, S.; Fontes, M.; Agerstam, H.; Sanden, C.; Orsmark-Pietras, C.; Fioretos, T.

2025-02-17 cancer biology
10.1101/2025.02.12.637826 bioRxiv
Show abstract

Acute myeloid leukemia (AML) is a genetically and cellularly heterogeneous disease. We characterized 120 AMLs using genomic and transcriptomic analyses, including single-cell RNA sequencing. Our results reveal an extensive cellular heterogeneity that distorts the bulk transcriptomic profiles. Selective examination of the transcriptional signatures of >90,000 immature AML cells identified four main clusters, thereby extending current genomic classification of AML. Notably, NPM1 mutated AML could be stratified into two novel, clinically relevant classes, with NPM1class I associated with downregulation of MHC class II and excellent survival following hematopoietic stem cell transplantation (HSCT). NPM1class II was instead associated with resistance to allogeneic T cells in an ex vivo co culture assay, and importantly, dismal survival following HSCT. These findings provide new insights into the cellular state space of AML, define new diagnostic entities, and highlight potential therapeutic intervention points. Key PointsO_LIThe bulk transcriptional profiles of AML are mainly driven by a diverse set of cellular signatures. C_LIO_LISingle cell RNA-sequencing of the most common AML subtypes reveals marked heterogeneity extending beyond current genomic classification schemes. C_LIO_LINPM1-mutated AML can be divided into two new classes, with distinct immune evasion mechanisms and survival after transplantation. C_LI

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.