Evidence map›Paper›PMID 25688563›Full record

ArticlePloS one2015

OVCAR-3 spheroid-derived cells display distinct metabolic profiles.

Kathleen A Vermeersch, Lijuan Wang, Roman Mezencev, John F McDonald, Mark P Styczynski

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.0field-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

20 citing papers in PubMed, 35 citations in OpenAlex.

  1. Paclitaxel resistance-associated metabolic events in ovarian cancer cells.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  2. Targeting the glutamine-arginine-proline metabolism axis in cancer.Journal of enzyme inhibition and medicinal chemistry · 2024
    Review
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  6. Metabolic Dynamics inACS synthetic biology · 2021
    Article
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  11. Metabolic Profiling ofIndustrial & engineering chemistry research · 2019
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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 2 institutions in 1 country.

Kathleen A VermeerschSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Lijuan WangOvarian Cancer Institute and School of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Roman MezencevOvarian Cancer Institute and School of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
John F McDonaldOvarian Cancer Institute and School of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Mark P StyczynskiSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Ovarian Cancer Institute · USGeorgia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecently, multicellular spheroids were isolated from a well-established epithelial ovarian cancer cell line, OVCAR-3, and were propagated in vitro. These spheroid-derived cells displayed numerous hallmarks of cancer stem cells, which are chemo- and radioresistant cells thought to be a significant cause of cancer recurrence and resultant mortality. Gene set enrichment analysis of expression data from the OVCAR-3 cells and the spheroid-derived putative cancer stem cells identified several metabolic pathways enriched in differentially expressed genes. Before this, there had been little previous knowledge or investigation of systems-scale metabolic differences between cancer cells and cancer stem cells, and no knowledge of such differences in ovarian cancer stem cells.

methodsTo determine if there were substantial metabolic changes corresponding with these transcriptional differences, we used two-dimensional gas chromatography coupled to mass spectrometry to measure the metabolite profiles of the two cell lines.

resultsThese two cell lines exhibited significant metabolic differences in both intracellular and extracellular metabolite measurements. Principal components analysis, an unsupervised dimensional reduction technique, showed complete separation between the two cell types based on their metabolite profiles. Pathway analysis of intracellular metabolomics data revealed close overlap with metabolic pathways identified from gene expression data, with four out of six pathways found enriched in gene-level analysis also enriched in metabolite-level analysis. Some of those pathways contained multiple metabolites that were individually statistically significantly different between the two cell lines, with one of the most broadly and consistently different pathways, arginine and proline metabolism, suggesting an interesting hypothesis about cancerous and stem-like metabolic phenotypes in this pair of cell lines.

conclusionsOverall, we demonstrate for the first time that metabolism in an ovarian cancer stem cell line is distinct from that of more differentiated isogenic cancer cells, supporting the potential importance of metabolism in the differences between cancer cells and cancer stem cells.

Indexed as

MetabolomicsCarcinoma, Ovarian EpithelialCell Line, TumorHumansNeoplasms, Glandular and EpithelialNeoplastic Stem CellsOvarian NeoplasmsPhenotypeProlinePutrescineSpheroids, CellularProlinePutrescine

Identifiers

PMID25688563
PMCPMC4331360
OpenAlexW1977019840

What OpenQuestion holds

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LicenceCC BY
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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.