Evidence map›Paper›PMID 32392896›Full record

ArticleCells2020

Targeting Cellular Metabolism in Acute Myeloid Leukemia and The Role of Patient Heterogeneity.

Ida Sofie Grønningsæter, Håkon Reikvam, Elise Aasebø, Sushma Bartaula-Brevik, Tor Henrik Tvedt, Øystein Bruserud, Kimberley Joanne Hatfield

Open access · goldAbstract read
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.7field-weighted citation impact, top 5% of its field
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

28 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Leukemic Stem Cells and Hematological Malignancies.International journal of molecular sciences · 2024
    Review
  8. Metformin: A potential adjunct for treatment of systemic mastocytosis.The journal of allergy and clinical immunology. Global · 2024
    Article
  9. Article
  10. Molecular Insight into Iron Homeostasis of Acute Myeloid Leukemia Blasts.International journal of molecular sciences · 2023
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review
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

7 authors at 2 institutions in 1 country.

Ida Sofie GrønningsæterDepartment of Clinical Science, University of Bergen, 5021 Bergen, Norway.
Håkon ReikvamDepartment of Clinical Science, University of Bergen, 5021 Bergen, Norway.
Elise AasebøDepartment of Clinical Science, University of Bergen, 5021 Bergen, Norway.ORCID 0000-0002-6939-8059
Sushma Bartaula-BrevikDepartment of Clinical Science, University of Bergen, 5021 Bergen, Norway.
Tor Henrik TvedtDepartment of Clinical Science, University of Bergen, 5021 Bergen, Norway.
Øystein BruserudDepartment of Clinical Science, University of Bergen, 5021 Bergen, Norway.
Kimberley Joanne HatfieldDepartment of Clinical Science, University of Bergen, 5021 Bergen, Norway.ORCID 0000-0003-3310-8176
Haukeland University Hospital · NOUniversity of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is an aggressive blood cancer resulting in accumulation of immature, dysfunctional blood cells in the bone marrow. Changes in cell metabolism are features of many cancers, including AML and this may be exploited as a therapeutic target. In this study we investigated the in vitro antileukemic effects of seven metabolic inhibitors that target different metabolic pathways. The metabolic inhibitors were tested on AML cells derived from 81 patients using proliferation and viability assays; we also compared global gene expression and proteomic profiles for various patient subsets. Metformin, 2DG, 6AN, BPTES and ST1326 had strong antiproliferative and proapoptotic effects for most patients, whereas lonidamine and AZD3965 had an effect only for a minority. Antiproliferative effects on AML cells were additive when combined with the chemotherapeutic agent AraC. Using unsupervised hierarchical clustering, we identified a strong antiproliferative effect on AML cells after treatment with metabolic inhibitors for a subset of 29 patients. Gene expression and proteomic studies suggested that this subset was characterized by altered metabolic and transcriptional regulation. In addition, the Bcl-2 inhibitor venetoclax, in combination with 2DG or 6AN, increased the antiproliferative effects of these metabolic inhibitors on AML cells. Therapeutic targeting of cellular metabolism may have potential in AML, but the optimal strategy will likely differ between patients.

Indexed as

Genetic HeterogeneityAdolescentAdultAgedAged, 80 and overApoptosisBridged Bicyclo Compounds, HeterocyclicCell DifferentiationCell Line, TumorCell ProliferationCell SurvivalCluster AnalysisCytarabineDeoxyglucoseFemalefms-Like Tyrosine Kinase 3Bridged Bicyclo Compounds, HeterocyclicCytarabineDeoxyglucoseFLT3 protein, humanfms-Like Tyrosine Kinase 3Nuclear ProteinsNucleophosminSulfonamidesvenetoclaxglycolysisleukemiametabolismoxidative phosphorylation

Identifiers

PMID32392896
PMCPMC7290417
OpenAlexW3021384305

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.