Evidence map›Paper›PMID 26422827›Full record

ArticleInternational journal of cancer2016

Alterations in cellular metabolome after pharmacological inhibition of Notch in glioblastoma cells.

Ulf D Kahlert, Menglin Cheng, Katharina Koch, Luigi Marchionni, Xing Fan, Eric H Raabe, Jarek Maciaczyk, Kristine Glunde, Charles G Eberhart

Open access · bronzeAbstract read
In one paragraph

Article in International journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

29 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Energy metabolism in health and diseases.Signal transduction and targeted therapy · 2025
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  6. Article
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  10. Targeting Energy Metabolism in Cancer Treatment.International journal of molecular sciences · 2022
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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 4 institutions in 2 countries.

Ulf D KahlertDepartment of Pathology, Division of Neuropathology, Johns Hopkins Hospital, Baltimore, MD.
Menglin ChengDivision of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, MD.
Katharina KochDepartment of Neurosurgery, University Medical Center, Forschungsgebaeude Pathologie, Düsseldorf, Germany.
Luigi MarchionniDepartment of Oncology, Johns Hopkins Hospital, Baltimore, MD.
Xing FanDepartment of Neurosurgery, University of Michigan, Ann Arbor, MI.
Eric H RaabeSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD.
Jarek MaciaczykDepartment of Neurosurgery, University Medical Center, Forschungsgebaeude Pathologie, Düsseldorf, Germany.
Kristine GlundeDivision of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, MD.
Charles G EberhartDepartment of Pathology, Division of Neuropathology, Johns Hopkins Hospital, Baltimore, MD.
Düsseldorf University Hospital · DEJohns Hopkins Hospital · USSidney Kimmel Comprehensive Cancer Center · USUniversity of Michigan–Ann Arbor · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Notch signaling in brain tumorsR01NS055089 · NINDS · JOHNS HOPKINS UNIVERSITY · PI EBERHART, CHARLES G · 2007 to 2016
$3.2M
Cancer Stem Cell Niche in Brain TumorsR01CA148621 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FAN, XING · 2011 to 2015
$1.6M
Investigating Cancer Stem Cells - Niche Interactions in Brain TumorR01CA163737 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FAN, XING · 2012 to 2016
$1.2M
NCATS NIH HHS UL1 TR 001079NCATS NIH HHS UL1 TR001079NCI NIH HHS P30 CA006973NCI NIH HHS R01 CA148621NCI NIH HHS R01 CA163737NINDS NIH HHS R01 NS055089NINDS NIH HHS R01NS055089
6 · The paper itself

Abstract

Notch signaling can promote tumorigenesis in the nervous system and plays important roles in stem-like cancer cells. However, little is known about how Notch inhibition might alter tumor metabolism, particularly in lesions arising in the brain. The gamma-secretase inhibitor MRK003 was used to treat glioblastoma neurospheres, and they were subdivided into sensitive and insensitive groups in terms of canonical Notch target response. Global metabolomes were then examined using proton magnetic resonance spectroscopy, and changes in intracellular concentration of various metabolites identified which correlate with Notch inhibition. Reductions in glutamate were verified by oxidation-based colorimetric assays. Interestingly, the alkylating chemotherapeutic agent temozolomide, the mTOR-inhibitor MLN0128, and the WNT inhibitor LGK974 did not reduce glutamate levels, suggesting that changes to this metabolite might reflect specific downstream effects of Notch blockade in gliomas rather than general sequelae of tumor growth inhibition. Global and targeted expression analyses revealed that multiple genes important in glutamate homeostasis, including glutaminase, are dysregulated after Notch inhibition. Treatment with an allosteric inhibitor of glutaminase, compound 968, could slow glioblastoma growth, and Notch inhibition may act at least in part by regulating glutaminase and glutamate.

Indexed as

MetabolomeBrain NeoplasmsCell Line, TumorCyclic S-OxidesGlioblastomaGlutamic AcidGlutaminaseHomeostasisHumansReceptors, NotchThiadiazolesCyclic S-OxidesGlutamic AcidGlutaminaseMRK 003Receptors, NotchThiadiazolesGBMgliomaglutamateglutaminaseglycolysisGSImetabolismMRK003NotchWNT

Identifiers

PMID26422827
PMCPMC4772139
OpenAlexW2154762765

What OpenQuestion holds

Textmetadata
LicenceTDM
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.