Evidence map›Paper›PMID 25518943›Full record

ArticleBMC systems biology2014

Distinct metabolic responses of an ovarian cancer stem cell line.

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

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  7. Metabolic Profiling ofIndustrial & engineering chemistry research · 2019
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  15. Downregulation ofOncology letters · 2016
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  16. Article
  17. Review
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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

4 authors at 1 institution in 1 country.

Kathleen A VermeerschSchool of Chemical & Biomolecular Engineering and Parker H. Petit Institute for Bioengineering & Bioscience, Georgia Institute of Technology, 311 Ferst Dr, Atlanta, GA, 30332-0100, USA. kvermeersch@gatech.edu.
Lijuan WangOvarian Cancer Institute, School of Biology, and Parker H. Petit Institute of Bioengineering and Bioscience, Georgia Institute of Technology, 315 Ferst Dr, Atlanta, GA, 30332-0363, USA. lijuan.wang@biology.gatech.edu.
John F McDonaldOvarian Cancer Institute, School of Biology, and Parker H. Petit Institute of Bioengineering and Bioscience, Georgia Institute of Technology, 315 Ferst Dr, Atlanta, GA, 30332-0363, USA. john.mcdonald@biology.gatech.edu.
Mark P StyczynskiSchool of Chemical & Biomolecular Engineering and Parker H. Petit Institute for Bioengineering & Bioscience, Georgia Institute of Technology, 311 Ferst Dr, Atlanta, GA, 30332-0100, USA. Mark.Styczynski@chbe.gatech.edu.
Georgia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer metabolism is emerging as an important focus area in cancer research. However, the in vitro cell culture conditions under which much cellular metabolism research is performed differ drastically from in vivo tumor conditions, which are characterized by variations in the levels of oxygen, nutrients like glucose, and other molecules like chemotherapeutics. Moreover, it is important to know how the diverse cell types in a tumor, including cancer stem cells that are believed to be a major cause of cancer recurrence, respond to these variations. Here, in vitro environmental perturbations designed to mimic different aspects of the in vivo environment were used to characterize how an ovarian cancer cell line and its derived, isogenic cancer stem cells metabolically respond to environmental cues.

resultsMass spectrometry was used to profile metabolite levels in response to in vitro environmental perturbations. Docetaxel, the chemotherapeutic used for this experiment, caused significant metabolic changes in amino acid and carbohydrate metabolism in ovarian cancer cells, but had virtually no metabolic effect on isogenic ovarian cancer stem cells. Glucose deprivation, hypoxia, and the combination thereof altered ovarian cancer cell and cancer stem cell metabolism to varying extents for the two cell types. Hypoxia had a much larger effect on ovarian cancer cell metabolism, while glucose deprivation had a greater effect on ovarian cancer stem cell metabolism. Core metabolites and pathways affected by these perturbations were identified, along with pathways that were unique to cell types or perturbations.

conclusionsThe metabolic responses of an ovarian cancer cell line and its derived isogenic cancer stem cells differ greatly under most conditions, suggesting that these two cell types may behave quite differently in an in vivo tumor microenvironment. While cancer metabolism and cancer stem cells are each promising potential therapeutic targets, such varied behaviors in vivo would need to be considered in the design and early testing of such treatments.

Indexed as

Tumor MicroenvironmentCell HypoxiaCell Line, TumorDocetaxelFemaleHumansIn Vitro TechniquesMass SpectrometryMetabolic Networks and PathwaysNeoplastic Stem CellsOvarian NeoplasmsPrincipal Component AnalysisTaxoidsDocetaxelTaxoids

Identifiers

PMID25518943
PMCPMC4308021
OpenAlexW2137140571

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.