The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes

Acute myeloid leukemia is a genetically and cellularly heterogeneous disease. We characterize 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 identifies four main clusters, thereby extending current genomic classification of AML. Notably, NPM1-mutated AML can be stratified into two clinically relevant classes, with NPM1<sup>class I</sup> associated with downregulation of MHC class II and excellent survival following hematopoietic stem cell transplantation. NPM1<sup>class II</sup> is instead associated with resistance to allogeneic T cells in an ex vivo co-culture assay, and importantly, dismal survival following hematopoietic stem cell transplantation. These findings provide insights into the cellular state space of AML, define diagnostic entities, and highlight potential therapeutic intervention points.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-11-25
DOI
https://doi.org/10.1038/s41467-025-66546-6
Citations
1
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
1.77

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes

Helena Ågerstam, Rasmus Henningsson, Henrik Lilljebjörn, Petr Staněk et al.
1 citations
Nature Communications
Acute Myeloid Leukemia Research
1.77
article

The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes

Helena Ågerstam, Rasmus Henningsson, Henrik Lilljebjörn, Petr Staněk, Vendela Rissler, Carl Sandén, Thoas Fioretos, Pablo Peña‐Martínez, Xiangfu Zhong, Marianne Rissler, Sofia von Palffy, Noelia Puente‐Moncada, Sören Lehmann, Gunnar Juliusson, Jonathan Desponds, Niklas Landberg, Hanna Thorsson, Christina Orsmark‐Pietras, Vladimir Lazarević, Magnus Fontes
article en
1 citations

Abstract

Acute myeloid leukemia is a genetically and cellularly heterogeneous disease. We characterize 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 identifies four main clusters, thereby extending current genomic classification of AML. Notably, NPM1-mutated AML can be stratified into two clinically relevant classes, with NPM1<sup>class I</sup> associated with downregulation of MHC class II and excellent survival following hematopoietic stem cell transplantation. NPM1<sup>class II</sup> is instead associated with resistance to allogeneic T cells in an ex vivo co-culture assay, and importantly, dismal survival following hematopoietic stem cell transplantation. These findings provide insights into the cellular state space of AML, define diagnostic entities, and highlight potential therapeutic intervention points.

Nature CommunicationsVol. 16(1)
Lund University (SE), Science for Life Laboratory (SE), Symphogen (Denmark) (DK), Integrated Cardio Metabolic Centre (SE), Roche (France) (FR), Skåne University Hospital (SE), Lund Science (Sweden) (SE)
Mats Paulssons Stiftelse, Cancerfonden, Lunds Universitet, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, Science for Life Laboratory
Openalex Percentile: Top 11%
Acute Myeloid Leukemia Research
1.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.