Evidence map›Paper›PMID 24922514›Full record

ArticlePloS one2014

Metabolic impact of anti-angiogenic agents on U87 glioma cells.

Tanja Mesti, Philippe Savarin, Mohamed N Triba, Laurence Le Moyec, Janja Ocvirk, Claire Banissi, Antoine F Carpentier

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

26 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

7 authors at 4 institutions in 2 countries.

Tanja MestiLaboratoire de Recherches Biochirurgicales, Université Paris Descartes, Hôpital Européen Georges Pompidou, Paris, France.
Philippe SavarinChemistry, Structure and Properties of Biomaterials and Therapeutic Agents, Unité Mixte de Recherche 7244, Centre National de la Recherche Scientifique, Université Paris 13 Sorbonne Paris Cité, Bobigny, France.
Mohamed N TribaChemistry, Structure and Properties of Biomaterials and Therapeutic Agents, Unité Mixte de Recherche 7244, Centre National de la Recherche Scientifique, Université Paris 13 Sorbonne Paris Cité, Bobigny, France.
Laurence Le MoyecUnité de Biologie Intégrative des Adaptations à l'Exercice, Unité 902, Institut National de la Santé et de la Recherche Médicale, Université d'Evry, Evry, France.
Janja OcvirkDivision of Medical Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia.
Claire BanissiLaboratoire de Recherches Biochirurgicales, Université Paris Descartes, Hôpital Européen Georges Pompidou, Paris, France.
Antoine F CarpentierUnité de Formation et de Recherche de Santé, Médecine et Biologie Humaine, Université Paris 13, Bobigny, France; Hôpital Avicenne, Assistance Publique-Hôpitaux de Paris, Bobigny, France.
Université Paris Cité · FRUniversité Sorbonne Paris Nord · FRHôpital Européen Georges-Pompidou · FRInstitute of Oncology Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioma cells not only secrete high levels of vascular endothelial growth factor (VEGF) but also express VEGF receptors (VEGFR), supporting the existence of an autocrine loop. The direct impact on glioma cells metabolism of drugs targeting the VEGF pathway, such as Bevacizumab (Bev) or VEGFR Tyrosine Kinase Inhibitor (TKI), is poorly known. MATERIAL AND

methodsU87 cells were treated with Bev or SU1498, a selective VEGFR2 TKI. VEGFR expression was checked with FACS flow cytometry and Quantitative Real-Time PCR. VEGF secretion into the medium was assessed with an ELISA kit. Metabolomic studies on cells were performed using High Resolution Magic Angle Spinning Spectroscopy (HR-MAS).

resultsU87 cells secreted VEGF and expressed low level of VEGFR2, but no detectable VEGFR1. Exposure to SU1498, but not Bev, significantly impacted cell proliferation and apoptosis. Metabolomic studies with HR MAS showed that Bev had no significant effect on cell metabolism, while SU1498 induced a marked increase in lipids and a decrease in glycerophosphocholine. Accordingly, accumulation of lipid droplets was seen in the cytoplasm of SU1498-treated U87 cells.

conclusionAlthough both drugs target the VEGF pathway, only SU1498 showed a clear impact on cell proliferation, cell morphology and metabolism. Bevacizumab is thus less likely to modify glioma cells phenotype due to a direct therapeutic pressure on the VEGF autocrine loop. In patients treated with VEGFR TKI, monitoring lipids with magnetic resonance spectroscopic (MRS) might be a valuable marker to assess drug cytotoxicity.

Indexed as

Angiogenesis InhibitorsAntibodies, Monoclonal, HumanizedApoptosisBevacizumabCell CycleCell Line, TumorCell ProliferationCell ShapeCinnamatesGliomaHumansLeast-Squares AnalysisLinoleic AcidLipidsMagnetic Resonance SpectroscopyPrincipal Component AnalysisAngiogenesis InhibitorsAntibodies, Monoclonal, HumanizedBevacizumabCinnamatesLinoleic AcidLipidsSU 1498Vascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-1Vascular Endothelial Growth Factor Receptor-2

Identifiers

PMID24922514
PMCPMC4055646
OpenAlexW2032892351

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.