Evidence map›Paper›PMID 41172231›Full record

ArticleBlood advances2026

Metformin induces ferroptosis associated with lipidomic remodeling in AML.

Dominique Sternadt, Diego A Pereira-Martins, Prodromos Chatzikyriakou, Luise Albuquerque-Simões, Ming Yang, Douglas R A Silveira, Albertus T J Wierenga, Isabel Weinhäuser, Shanna M Hogeling, Lieve L Oudejans and 6 more

Abstract read
In one paragraph

Article in Blood advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

16 authors.

Dominique SternadtDepartment of Hematology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
Diego A Pereira-MartinsDepartment of Hematology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0002-3302-4311
Prodromos ChatzikyriakouMyeloid Leukaemia Genomics and Biology Group, School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom.ORCID 0000-0002-0048-4100
Luise Albuquerque-SimõesDepartment of Hematology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
Ming YangInstitute for Metabolomics in Ageing, Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases, Institute for Metabolomics in Ageing, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.ORCID 0000-0002-7735-7804
Douglas R A SilveiraMyeloid Leukaemia Genomics and Biology Group, School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom.ORCID 0000-0001-5298-9592
Albertus T J WierengaDepartment of Hematology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
Isabel WeinhäuserDepartment of Hematology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
Shanna M HogelingDepartment of Hematology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0003-2124-5333
Lieve L OudejansDepartment of Hematology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0003-1110-8028
Pilar Casares AlaezMyeloid Leukaemia Genomics and Biology Group, School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom.ORCID 0009-0002-4232-9755
Jean-Emmanuel SarryMetabolism and Drug Resistance in Acute Myeloid Leukemia, Centre de Recherches en Cancérologie de Toulouse, Université de Toulouse, INSERM, Centre national de la recherche scientifique, Toulouse, France.ORCID 0000-0002-6704-2032
Christian FrezzaInstitute for Metabolomics in Ageing, Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases, Institute for Metabolomics in Ageing, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Gerwin A HulsDepartment of Hematology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
Lynn QuekMyeloid Leukaemia Genomics and Biology Group, School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom.ORCID 0000-0003-0221-5761
Jan Jacob SchuringaDepartment of Hematology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0001-8452-8555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractMetabolic reprogramming is a hallmark of cancer and is essential for sustaining leukemogenesis. In acute myeloid leukemia (AML), a high dependency on oxidative phosphorylation (OXPHOS) is often linked to poor outcomes, and its inhibition has shown to be highly effective. However, most OXPHOS inhibitors are not clinically translatable because of significant side effects. Thus, repurposing safe US Food and Drug Administration-approved drugs that can target OXPHOS is of great interest. Here, we evaluated metformin, an antidiabetic drug that inhibits OXPHOS, in a genetically diverse panel of primary AML samples to identify metabolic profiles that can be used to predict treatment susceptibility. Using label-free quantitative proteome analysis on sorted CD34+/CD117+ AML cells, we performed single-sample gene set enrichment analysis focused on metabolic terms and correlated enrichment scores with metformin sensitivity, followed by functional studies. Ex vivo treatment of AML samples with metformin showed a significant increase in reactive oxygen species levels and ferroptosis induction, especially in samples with disturbed lipid metabolism, such as IDH2- and FLT3-mutant AMLs. In IDH2-mutant cells, cotreatment with palmitate, a saturated fatty acid (FA), increased metformin sensitivity, which could be rescued by CD36 knockdown, rendering these cells more resistant to treatment. Lipidomic analysis revealed profound alterations upon metformin treatment, including increased production of triglycerides and polyunsaturated FAs, further supporting a metabolic shift. We observed upregulation of genes related to lipid droplet formation, including DGAT1, a key enzyme in this process. DGAT1 inhibition was strongly synergistic with metformin, whereas iron chelators acted antagonistically. Our results underscore the potential of leveraging metabolic vulnerabilities in AML to identify more effective and personalized therapeutic strategies.

Indexed as

FerroptosisLeukemia, Myeloid, AcuteLipid MetabolismLipidomicsMetforminHumansOxidative PhosphorylationReactive Oxygen SpeciesMetforminReactive Oxygen Species

Identifiers

PMID41172231
PMCPMC12874316

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.