Evidence map›Paper›PMID 42673946›Full record

ArticleCell reports. Medicine2026

Non-genetic remodeling drives leukemia propagation and reveals actionable vulnerabilities in acute myeloid leukemia.

Clement Larrue, Paolo Angelino, Sarah Mouche, Alexa S Green, Emeline Boet, Ismael Boussaid, Claudia Perez-Carretero, Rudy Birsen, Maxime Sajot, Thomas A Mckee and 12 more

Abstract read
In one paragraph

Article in Cell reports. Medicine, 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

22 authors.

Clement LarrueTranslational Research Centre in Onco-hematology, Faculty of Medicine, University of Geneva, and Swiss Cancer Center Leman, Geneva, Switzerland; Université de Toulouse, Centre de Recherches en Cancérologie de Toulouse, Inserm U1037, CNRS U5077, équipe labellisée Ligue Nationale Contre le Cancer 2023, LabEx Toucan, Toulouse, France.
Paolo AngelinoTranslational Research Centre in Onco-hematology, Faculty of Medicine, University of Geneva, and Swiss Cancer Center Leman, Geneva, Switzerland; Translational Data Science, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Sarah MoucheTranslational Research Centre in Onco-hematology, Faculty of Medicine, University of Geneva, and Swiss Cancer Center Leman, Geneva, Switzerland.
Alexa S GreenTranslational Research Centre in Onco-hematology, Faculty of Medicine, University of Geneva, and Swiss Cancer Center Leman, Geneva, Switzerland.
Emeline BoetTranslational Research Centre in Onco-hematology, Faculty of Medicine, University of Geneva, and Swiss Cancer Center Leman, Geneva, Switzerland; Université de Toulouse, Centre de Recherches en Cancérologie de Toulouse, Inserm U1037, CNRS U5077, équipe labellisée Ligue Nationale Contre le Cancer 2023, LabEx Toucan, Toulouse, France.
Ismael BoussaidUniversité Paris-Cité, Institut Cochin, CNRS U8104, Inserm U1016, Paris, France.
Claudia Perez-CarreteroTranslational Research Centre in Onco-hematology, Faculty of Medicine, University of Geneva, and Swiss Cancer Center Leman, Geneva, Switzerland.
Rudy BirsenUniversité Paris-Cité, Institut Cochin, CNRS U8104, Inserm U1016, Paris, France.
Maxime SajotUniversité de Toulouse, Centre de Recherches en Cancérologie de Toulouse, Inserm U1037, CNRS U5077, équipe labellisée Ligue Nationale Contre le Cancer 2023, LabEx Toucan, Toulouse, France.
Thomas A MckeePathology Department, Geneva University Hospital, Geneva, Switzerland.
Ambrine SahalUniversité de Toulouse, Centre de Recherches en Cancérologie de Toulouse, Inserm U1037, CNRS U5077, équipe labellisée Ligue Nationale Contre le Cancer 2023, LabEx Toucan, Toulouse, France.
Nicolas ChapuisUniversité Paris-Cité, Institut Cochin, CNRS U8104, Inserm U1016, Paris, France.
François VergezUniversité de Toulouse, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Service d'Hématologie, 31100 Toulouse, France.
Christian RecherUniversité de Toulouse, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Service d'Hématologie, 31100 Toulouse, France.
Véronique Mansat-De MasUniversité de Toulouse, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Service d'Hématologie, 31100 Toulouse, France.
Olivier KosmiderUniversité Paris-Cité, Institut Cochin, CNRS U8104, Inserm U1016, Paris, France.
Pierre SujobertHospices Civils de Lyon, Hôpital Lyon Sud, Service d'Hématologie Biologique, Lyon, France.
Frederic CatezRibosome, Translation and Cancer Team, LabEx DEVweCAN, Institut Convergence Plascan, LYriCAN+, Centre de Recherche en Cancérologie de Lyon, INSERM U1052, CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, 69008 Lyon, France.
Jean-Jacques DiazRibosome, Translation and Cancer Team, LabEx DEVweCAN, Institut Convergence Plascan, LYriCAN+, Centre de Recherche en Cancérologie de Lyon, INSERM U1052, CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon 1, 69008 Lyon, France.
Jean-Emmanuel SarryUniversité de Toulouse, Centre de Recherches en Cancérologie de Toulouse, Inserm U1037, CNRS U5077, équipe labellisée Ligue Nationale Contre le Cancer 2023, LabEx Toucan, Toulouse, France; Université de Toulouse, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopole, Service d'Hématologie, 31100 Toulouse, France.
Petros TsantoulisTranslational Research Centre in Onco-hematology, Faculty of Medicine, University of Geneva, and Swiss Cancer Center Leman, Geneva, Switzerland.
Jerome TamburiniTranslational Research Centre in Onco-hematology, Faculty of Medicine, University of Geneva, and Swiss Cancer Center Leman, Geneva, Switzerland. Electronic address: jerome.tamburinibonnefoy@unige.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) persistence and relapse are sustained by leukemia-propagating cells, yet the molecular programs supporting their expansion during disease evolution remain incompletely understood. Using serial patient-derived xenotransplantation, we establish a longitudinal model in which leukemia-initiating capacity progressively increases. Integrated single-cell transcriptomics and multi-omics profiling reveal a predominantly non-genetic trajectory that follows a conserved pattern across models and is associated with coordinated changes across epigenetic, transcriptional, and proteomic layers. Ribosome profiling and rRNA 2'-O-methylation analyses further support a stage-specific increase in translational activity with ribosome remodeling in advanced xenografts. A pharmacological screen of 3,247 compounds uncovers a limited set of vulnerabilities that consistently emerge during disease progression, including CRBN-dependent degradation of GSPT1 (CC-885) and IAP antagonism (AZD5582). In vivo validation shows that both agents markedly reduce leukemic burden, impair leukemia propagation, and enhance cytarabine activity in patient-derived xenograft (PDX) models. Together, these findings show that leukemic propagation is driven by a non-genetic remodeling program, providing a framework to prioritize and test stage-specific therapeutic strategies in AML.

Indexed as

Leukemia, Myeloid, AcuteAnimalsCytarabineEpigenesis, GeneticHumansMiceMice, Inbred NODMice, SCIDRibosomesXenograft Model Antitumor AssaysCytarabineacute myeloid leukemiaDNA methylationdrug screeningleukemic stem cellspatient-derived xenograftsribosome profilingserial xenotransplantationtranslational regulation

Identifiers

PMID42673946
PMCPMC13589494

What OpenQuestion holds

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Registered trials

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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.