Evidence map›Paper›PMID 32153327›Full record

ArticleJournal of proteomics & bioinformatics2019

The Quiescent Metabolic Phenotype of Glioma Stem Cells.

Elizabeth I Spehalski, Jennifer A Lee, Cord Peters, Philip Tofilon, Kevin Camphausen

Open access · goldAbstract read
In one paragraph

Article in Journal of proteomics & bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

13 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Elizabeth I SpehalskiRadiation Oncology Branch, National Cancer Institute, 10 Center Drive, Building 10, CRC, Bethesda, Maryland 20892, USA.
Jennifer A LeeRadiation Oncology Branch, National Cancer Institute, 10 Center Drive, Building 10, CRC, Bethesda, Maryland 20892, USA.
Cord PetersRadiation Oncology Branch, National Cancer Institute, 10 Center Drive, Building 10, CRC, Bethesda, Maryland 20892, USA.
Philip TofilonRadiation Oncology Branch, National Cancer Institute, 10 Center Drive, Building 10, CRC, Bethesda, Maryland 20892, USA.
Kevin CamphausenRadiation Oncology Branch, National Cancer Institute, 10 Center Drive, Building 10, CRC, Bethesda, Maryland 20892, USA.
National Cancer Institute · US

Funding

Pre-clinical Development of Radiation Sensitizers for Patients with GlioblastomaZIASC010372 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI CAMPHAUSEN, KEVIN · 2009 to 2025
$12.0M
Intramural NIH HHS ZIA SC010372
6 · The paper itself

Abstract

introductionGlioblastoma (GBM) is the most common primary malignant brain tumor in humans and, even with aggressive treatment that includes surgical resection, radiation (IR), and chemotherapy administration, prognosis is poor due to tumor recurrence. There is evidence that within GBMs a small number of glioma stem-like cells (GSLCs) exist, which are thought to be therapy resistant and are thus capable of repopulating a tumor after treatment. Like most cancers, GBMs largely employ aerobic glycolysis to create ATP, a phenomenon known as the Warburg Effect. There is no consensus on the metabolic characteristics of cancer stem cells. GSLCs have been shown to rely more heavily on oxidative phosphorylation, but there is also evidence that cancer stem cells can adapt their metabolism by fluctuating between energy pathways or acquiring intermediate metabolic phenotypes. We hypothesized that the metabolism of GSLCs differs from that of differentiated GBM tumor cell lines, and that the steady state metabolism would be differentially altered following radiation treatment. MATERIALS AND

methodsWe evaluated the oxygen consumption rate, extracellular acidification rate, and metabolic enzyme levels of GBM cell lines and GSLCs before and after irradiation using extracellular flux assays. We also measured absolute metabolite levels in these cells via mass spectroscopy with and without radiation treatment.

resultsGSLCs were found to be significantly more quiescent in comparison to adherent GBM cell lines, highlighted by lower glycolytic and maximal respiratory capacities as well as lower oxygen consumption and extracellular acidification rates. Analysis of individual metabolite concentrations revealed lower total metabolite concentrations overall but also elevated levels of metabolites in different energy pathways for GSLCs compared to GBM cell lines. Additionally, the metabolism of both GSLCs and GBM cell lines were found to be altered by IR.

conclusionsWhile there is not one metabolic alteration that distinguishes irradiated GSLC metabolism from that of GBM cell lines, therapies targeting more metabolically quiescent tumor cells and thus the resistant GSLC population may increase a cancer's sensitivity to radiotherapy.

Indexed as

glioblastomaglioma stem cellsradiation sensitivitytumor metabolism

Identifiers

PMID32153327
PMCPMC7061459
OpenAlexW2971374662

What OpenQuestion holds

Textmetadata
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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.