Evidence map›Paper›PMID 42903857›Full record

ArticleiScience2026

The immunophenotypic landscape of newly diagnosed acute myeloid leukemia: Associations with genotype and outcomes.

Tim R Mocking, Tom Reuvekamp, Lukas H Haaksma, Eirini Papavasileiou, Angèle Kelder, Willemijn J Scholten, Dimitri A Breems, Thomas Fischer, Bjørn T Gjertsen, Laimonas Griškevičius and 15 more

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Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Tim R MockingAmsterdam UMC, Amsterdam, the Netherlands.
Tom ReuvekampAmsterdam UMC, Amsterdam, the Netherlands.
Lukas H HaaksmaAmsterdam UMC, Amsterdam, the Netherlands.
Eirini PapavasileiouAmsterdam UMC, Amsterdam, the Netherlands.
Angèle KelderAmsterdam UMC, Amsterdam, the Netherlands.
Willemijn J ScholtenAmsterdam UMC, Amsterdam, the Netherlands.
Dimitri A BreemsZiekenhuis aan de Stroom, Antwerpen, Belgium.
Thomas FischerOtto von Guericke University Hospital Magdeburg, Magdeburg, Germany.
Bjørn T GjertsenHaukeland University Hospital, Bergen, Norway.
Laimonas GriškevičiusVilnius University Hospital Santaros Klinikos and Vilnius University, Vilnius, Lithuania.
Gunnar JuliussonSkanes University Hospital, Lund, Sweden.
Johan A MaertensUniversity Hospital Gasthuisberg, Leuven, Belgium.
Markus G ManzUniversity Hospital, Zurich, Switzerland.
Thomas PabstSwiss Group for Clinical Cancer Research, Bern, Switzerland.
Jakob R PasswegSwiss Group for Clinical Cancer Research, Bern, Switzerland.
Kimmo PorkkaHelsinki University Hospital Cancer Center, Helsinki, Finland.
Jeroen J W M JanssenAmsterdam UMC, Amsterdam, the Netherlands.
Patrycja GradowskaErasmus Medical Center Cancer Institute, Rotterdam, the Netherlands.
Bob LöwenbergErasmus Medical Center Cancer Institute, Rotterdam, the Netherlands.
Gert J OssenkoppeleAmsterdam UMC, Amsterdam, the Netherlands.
Arjan A van de LoosdrechtAmsterdam UMC, Amsterdam, the Netherlands.
David C de LeeuwAmsterdam UMC, Amsterdam, the Netherlands.
Jacqueline CloosAmsterdam UMC, Amsterdam, the Netherlands.
Peter J M ValkErasmus Medical Center Cancer Institute, Rotterdam, the Netherlands.
Costa BachasAmsterdam UMC, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite widespread immunophenotyping in acute myeloid leukemia (AML), its immunophenotypic heterogeneity remains incompletely understood. Here, we applied state-of-the-art computational modeling to >50 million single cells from diagnostic bone marrow aspirates of 502 AML patients. Jointly modeling leukemic and non-malignant cells, we identified seven patient clusters with distinct immunophenotypic signatures. These clusters showed strong concordance with recurrent mutations, including

Indexed as

acute myeloid leukemiaflow cytometrygenomicsimmunophenotypingmachine learningpatient stratificationunsupervised clustering

Identifiers

PMID42903857
PMCPMC13682389

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.