Evidence map›Paper›PMID 25697355›Full record

ArticleThe Journal of biological chemistry2015

Rewired metabolism in drug-resistant leukemia cells: a metabolic switch hallmarked by reduced dependence on exogenous glutamine.

Claudia Stäubert, Hasanuzzaman Bhuiyan, Anna Lindahl, Oliver Jay Broom, Yafeng Zhu, Saiful Islam, Sten Linnarsson, Janne Lehtiö, Anders Nordström

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
4.5field-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

47 citing papers in PubMed, 77 citations in OpenAlex.

  1. Bacterioruberin fromInternational journal of molecular sciences · 2026
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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

9 authors at 3 institutions in 2 countries.

Claudia StäubertFrom the Department of Molecular Biology, Umeå University, 90187 Umeå, Sweden, the Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, 90183 Umeå, Sweden, the Institute of Biochemistry, Faculty of Medicine, University of Leipzig, 04103 Leipzig, Germany.
Hasanuzzaman BhuiyanOncology-Pathology, Science for Life Laboratory, Karolinska Institutet, 17177 Stockholm, Sweden, and.
Anna LindahlOncology-Pathology, Science for Life Laboratory, Karolinska Institutet, 17177 Stockholm, Sweden, and.
Oliver Jay BroomFrom the Department of Molecular Biology, Umeå University, 90187 Umeå, Sweden.
Yafeng ZhuOncology-Pathology, Science for Life Laboratory, Karolinska Institutet, 17177 Stockholm, Sweden, and.
Saiful Islamthe Departments of Medical Biochemistry and Biophysics and.
Sten Linnarssonthe Departments of Medical Biochemistry and Biophysics and.
Janne LehtiöOncology-Pathology, Science for Life Laboratory, Karolinska Institutet, 17177 Stockholm, Sweden, and.
Anders NordströmFrom the Department of Molecular Biology, Umeå University, 90187 Umeå, Sweden, the Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, 90183 Umeå, Sweden, Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, 17177 Stockholm, Sweden, and anders.nordstrom@molbiol.umu.se.
Science for Life Laboratory · SEKarolinska Institutet · SEUmeå University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer cells that escape induction therapy are a major cause of relapse. Understanding metabolic alterations associated with drug resistance opens up unexplored opportunities for the development of new therapeutic strategies. Here, we applied a broad spectrum of technologies including RNA sequencing, global untargeted metabolomics, and stable isotope labeling mass spectrometry to identify metabolic changes in P-glycoprotein overexpressing T-cell acute lymphoblastic leukemia (ALL) cells, which escaped a therapeutically relevant daunorubicin treatment. We show that compared with sensitive ALL cells, resistant leukemia cells possess a fundamentally rewired central metabolism characterized by reduced dependence on glutamine despite a lack of expression of glutamate-ammonia ligase (GLUL), a higher demand for glucose and an altered rate of fatty acid β-oxidation, accompanied by a decreased pantothenic acid uptake capacity. We experimentally validate our findings by selectively targeting components of this metabolic switch, using approved drugs and starvation approaches followed by cell viability analyses in both the ALL cells and in an acute myeloid leukemia (AML) sensitive/resistant cell line pair. We demonstrate how comparative metabolomics and RNA expression profiling of drug-sensitive and -resistant cells expose targetable metabolic changes and potential resistance markers. Our results show that drug resistance is associated with significant metabolic costs in cancer cells, which could be exploited using new therapeutic strategies.

Indexed as

Drug Resistance, Neoplasm3-Hydroxyacyl CoA DehydrogenasesAcetyl-CoA C-AcyltransferaseAntineoplastic AgentsATP Binding Cassette Transporter, Subfamily B, Member 1Carbon-Carbon Double Bond IsomerasesCell Line, TumorCyclosporinsDaunorubicinDrug SynergismEnoyl-CoA HydrataseFatty AcidsGlutamineGlycolysisHumansLeukemia3-Hydroxyacyl CoA DehydrogenasesAcetyl-CoA C-AcyltransferaseAntineoplastic AgentsATP Binding Cassette Transporter, Subfamily B, Member 1Carbon-Carbon Double Bond IsomerasesCyclosporinsDaunorubicinEnoyl-CoA Hydratasefatty acid oxidation complexFatty AcidsGlutaminePantothenic AcidPerhexilineRacemases and EpimerasesRNA, MessengervalspodarDrug ResistanceGlutamineGlycolysisLeukemiaMass Spectrometry (MS)MetabolismMetabolomicsTranscriptomicsβ-Oxidation

Identifiers

PMID25697355
PMCPMC4375488
OpenAlexW2045203330

What OpenQuestion holds

Textmetadata
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.