Evidence map›Paper›PMID 40404984›Full record

ReviewLeukemia2025

Targeting lipid metabolism in acute myeloid leukemia: biological insights and therapeutic opportunities.

Vilma Dembitz, Sophie C James, Paolo Gallipoli

Abstract readReview
In one paragraph

Review in Leukemia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

3 authors.

Vilma DembitzDepartment of Physiology and Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia.
Sophie C JamesCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK.
Paolo GallipoliCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK. p.gallipoli@qmul.ac.uk.ORCID 0000-0001-7254-2253

Funding

Cancer Research UK (CRUK) C57799/A27964
6 · The paper itself

Abstract

Metabolic rewiring is a hallmark of malignant transformation in leukemic cells and the potential offered by its therapeutic targeting has garnered significant attention. The development of clinically relevant metabolic targeted therapies in acute myeloid leukemia (AML) has mostly focused on targeting mitochondrial energy production, but progress has been hampered by generalized toxicities. An alternative strategy is to shift the focus from targeting energy production to targeting more specialized metabolic functions, such as energy storage, the regulation of oxidative stress and availability of cofactors needed for the function of specific metabolic reactions. Lipid metabolism plays a role in many of these metabolic functions and its importance in AML maintenance and response to therapy is being increasingly recognized but needs to be adequately interpreted in the context of its interaction with the microenvironment, particularly the adipose niche. In this review, we provide an overview of our current understanding of AML cellular metabolic dependencies on fatty acid and lipid metabolism and discuss their relevance in the context of functional interactions with adipocytes. We highlight unresolved questions about how to best target lipid metabolism and suggest approaches needed to fully understand the interplay between malignant cells and their niche in the context of metabolic dependencies.

Indexed as

Antineoplastic AgentsLeukemia, Myeloid, AcuteLipid MetabolismAnimalsEnergy MetabolismHumansMolecular Targeted TherapyTumor MicroenvironmentAntineoplastic Agents

Identifiers

PMID40404984
PMCPMC12310549

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.