Evidence map›Paper›PMID 29531533›Full record

ArticleStem cells international2018

Metabolic Heterogeneity Evidenced by MRS among Patient-Derived Glioblastoma Multiforme Stem-Like Cells Accounts for Cell Clustering and Different Responses to Drugs.

Sveva Grande, Alessandra Palma, Lucia Ricci-Vitiani, Anna Maria Luciani, Mariachiara Buccarelli, Mauro Biffoni, Agnese Molinari, Annarica Calcabrini, Emanuela D'Amore, Laura Guidoni and 3 more

Open access · goldAbstract read
In one paragraph

Article in Stem cells international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

25 citing papers in PubMed, 33 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

13 authors at 3 institutions in 1 country.

Sveva GrandeNational Centre for Innovative Technologies in Public Health, Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0002-1925-7602
Alessandra PalmaNational Centre for Innovative Technologies in Public Health, Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0002-8530-4913
Lucia Ricci-VitianiDepartment of Oncology and Molecular Medicine, Istituto Superiore di Sanità, 00161 Rome, Italy.
Anna Maria LucianiNational Centre for Innovative Technologies in Public Health, Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0002-2720-6231
Mariachiara BuccarelliDepartment of Oncology and Molecular Medicine, Istituto Superiore di Sanità, 00161 Rome, Italy.
Mauro BiffoniDepartment of Oncology and Molecular Medicine, Istituto Superiore di Sanità, 00161 Rome, Italy.
Agnese MolinariNational Center for Drug Research and Evaluation, Istituto Superiore di Sanità, 00161 Rome, Italy.
Annarica CalcabriniNational Center for Drug Research and Evaluation, Istituto Superiore di Sanità, 00161 Rome, Italy.
Emanuela D'AmoreNational Centre for Animal Experimentation and Welfare, Istituto Superiore di Sanità, 00161 Rome, Italy.
Laura GuidoniNational Centre for Innovative Technologies in Public Health, Istituto Superiore di Sanità, 00161 Rome, Italy.
Roberto PalliniInstitute of Neurosurgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
Vincenza VitiNational Centre for Innovative Technologies in Public Health, Istituto Superiore di Sanità, 00161 Rome, Italy.
Antonella RosiNational Centre for Innovative Technologies in Public Health, Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0001-8656-0671
Istituto Superiore di Sanità · ITIstituto Nazionale di Fisica Nucleare · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clustering of patient-derived glioma stem-like cells (GSCs) through unsupervised analysis of metabolites detected by magnetic resonance spectroscopy (MRS) evidenced three subgroups, namely clusters 1a and 1b, with high intergroup similarity and neural fingerprints, and cluster 2, with a metabolism typical of commercial tumor lines. In addition, subclones generated by the same GSC line showed different metabolic phenotypes. Aerobic glycolysis prevailed in cluster 2 cells as demonstrated by higher lactate production compared to cluster 1 cells. Oligomycin, a mitochondrial ATPase inhibitor, induced high lactate extrusion only in cluster 1 cells, where it produced neutral lipid accumulation detected as mobile lipid signals by MRS and lipid droplets by confocal microscopy. These results indicate a relevant role of mitochondrial fatty acid oxidation for energy production in GSCs. On the other hand, further metabolic differences, likely accounting for different therapy responsiveness observed after etomoxir treatment, suggest that caution must be used in considering patient treatment with mitochondria FAO blockers. Metabolomics and metabolic profiling may contribute to discover new diagnostic or prognostic biomarkers to be used for personalized therapies.

Identifiers

PMID29531533
PMCPMC5835274
OpenAlexW2793902538

What OpenQuestion holds

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Registered trials

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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.