Evidence map›Paper›PMID 39477946›Full record

ArticleNature communications2024

Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia.

Rebekka Wegmann, Ximena Bonilla, Ruben Casanova, Stéphane Chevrier, Ricardo Coelho, Cinzia Esposito, Joanna Ficek-Pascual, Sandra Goetze, Gabriele Gut, Francis Jacob and 32 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Unveiling CrypticInternational journal of molecular sciences · 2025
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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

42 authors.

Rebekka Wegmann *Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0001-9616-3303
Ximena Bonilla *Department of Computer Science, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-4950-6825
Ruben Casanova *Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
Stéphane Chevrier *Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
Ricardo Coelho *Department of Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland.ORCID 0000-0002-9340-3612
Cinzia Esposito *Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Joanna Ficek-Pascual *Department of Computer Science, ETH Zurich, Zurich, Switzerland.
Sandra Goetze *Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0001-6880-8020
Gabriele Gut *Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Francis Jacob *Department of Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland.ORCID 0000-0002-0446-1942
Andrea Jacobs *Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
Jack Kuipers *Department of Biosystems Science and Engineering, ETH Zurich, Zurich, Switzerland.ORCID 0000-0001-5357-2705
Ulrike Lischetti *Department of Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland.ORCID 0000-0002-9956-3043
Julien Mena *Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0001-8040-810X
Emanuela S Milani *Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Michael Prummer *SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.ORCID 0000-0001-9896-3929
Jacobo Sarabia Del Castillo *Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-9656-1416
Franziska Singer *SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.ORCID 0000-0002-6017-1595
Sujana Sivapatham *Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
Nora C Toussaint *SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.ORCID 0000-0001-7911-7647
Oliver Vilinovszki *Department of Medical Oncology and Hematology, University Hospital Zurich, Zurich, Switzerland.
Mattheus H E Wildschut *Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-6460-3084
Tharshika ThavayogarajahDepartment of Medical Oncology and Hematology, University Hospital Zurich, Zurich, Switzerland.
Disha MalaniHarvard Medical School and Dana-Farber Cancer Institute, Boston, USA.
TumorProfiler Consortium
Rudolf AebersoldInstitute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-9576-3267
Marina BacacRoche Pharmaceutical Research and Early Development, Roche Innovation Center Zurich, Zurich, Switzerland.
Niko BeerenwinkelSIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.ORCID 0000-0002-0573-6119
Christian BeiselDepartment of Biosystems Science and Engineering, ETH Zurich, Zurich, Switzerland.ORCID 0000-0001-5360-2193
Bernd BodenmillerDepartment of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-6325-7861
Viola Heinzelmann-SchwarzDepartment of Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland.
Viktor H KoelzerDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0001-9206-4885
Mitchell P LevesqueDepartment of Dermatology, University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0001-5902-9420
Holger MochDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0002-7986-2839
Lucas PelkmansInstitute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-6754-9730
Gunnar RätschDepartment of Computer Science, ETH Zurich, Zurich, Switzerland.
Markus TolnayInstitute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland.
Andreas WickiDepartment of Medical Oncology and Hematology, University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0002-2924-8080
Bernd WollscheidDepartment of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-3923-1610
Markus G ManzDepartment of Medical Oncology and Hematology, University Hospital Zurich, Zurich, Switzerland. markus.manz@usz.ch.ORCID 0000-0002-4676-7931
Berend SnijderInstitute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland. snijder@imsb.biol.ethz.ch.ORCID 0000-0003-3386-6583
Alexandre P A TheocharidesDepartment of Medical Oncology and Hematology, University Hospital Zurich, Zurich, Switzerland. alexandre.theocharides@usz.ch.ORCID 0000-0002-1535-8692

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep single-cell multi-omic profiling offers a promising approach to understand and overcome drug resistance in relapsed or refractory (rr) acute myeloid leukemia (AML). Here, we combine single-cell ex vivo drug profiling (pharmacoscopy) with single-cell and bulk DNA, RNA, and protein analyses, alongside clinical data from 21 rrAML patients. Unsupervised data integration reveals reduced ex vivo response to the Bcl-2 inhibitor venetoclax (VEN) in patients treated with both a hypomethylating agent (HMA) and VEN, compared to those pre-exposed to chemotherapy or HMA alone. Integrative analysis identifies both known and unreported mechanisms of innate and treatment-related VEN resistance and suggests alternative treatments, like targeting increased proliferation with the PLK inhibitor volasertib. Additionally, high CD36 expression in VEN-resistant blasts associates with sensitivity to CD36-targeted antibody treatment ex vivo. This study demonstrates how single-cell multi-omic profiling can uncover drug resistance mechanisms and treatment vulnerabilities, providing a valuable resource for future AML research.

Indexed as

Bridged Bicyclo Compounds, HeterocyclicDrug Resistance, NeoplasmLeukemia, Myeloid, AcuteSingle-Cell AnalysisSulfonamidesAgedAntineoplastic AgentsCD36 AntigensFemaleHumansMaleMiddle AgedProto-Oncogene Proteins c-bcl-2Antineoplastic AgentsBridged Bicyclo Compounds, HeterocyclicCD36 AntigensProto-Oncogene Proteins c-bcl-2Sulfonamidesvenetoclax

Identifiers

PMID39477946
PMCPMC11525670

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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.