Cargando…
Metabolic Impact of Anti-Angiogenic Agents on U87 Glioma Cells
BACKGROUND: Glioma 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 VE...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055646/ https://www.ncbi.nlm.nih.gov/pubmed/24922514 http://dx.doi.org/10.1371/journal.pone.0099198 |
_version_ | 1782320696001560576 |
---|---|
author | Mesti, Tanja Savarin, Philippe Triba, Mohamed N. Le Moyec, Laurence Ocvirk, Janja Banissi, Claire Carpentier, Antoine F. |
author_facet | Mesti, Tanja Savarin, Philippe Triba, Mohamed N. Le Moyec, Laurence Ocvirk, Janja Banissi, Claire Carpentier, Antoine F. |
author_sort | Mesti, Tanja |
collection | PubMed |
description | BACKGROUND: Glioma 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 METHODS: U87 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). RESULTS: U87 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. CONCLUSION: Although 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. |
format | Online Article Text |
id | pubmed-4055646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40556462014-06-18 Metabolic Impact of Anti-Angiogenic Agents on U87 Glioma Cells Mesti, Tanja Savarin, Philippe Triba, Mohamed N. Le Moyec, Laurence Ocvirk, Janja Banissi, Claire Carpentier, Antoine F. PLoS One Research Article BACKGROUND: Glioma 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 METHODS: U87 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). RESULTS: U87 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. CONCLUSION: Although 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. Public Library of Science 2014-06-12 /pmc/articles/PMC4055646/ /pubmed/24922514 http://dx.doi.org/10.1371/journal.pone.0099198 Text en © 2014 Mesti et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Mesti, Tanja Savarin, Philippe Triba, Mohamed N. Le Moyec, Laurence Ocvirk, Janja Banissi, Claire Carpentier, Antoine F. Metabolic Impact of Anti-Angiogenic Agents on U87 Glioma Cells |
title | Metabolic Impact of Anti-Angiogenic Agents on U87 Glioma Cells |
title_full | Metabolic Impact of Anti-Angiogenic Agents on U87 Glioma Cells |
title_fullStr | Metabolic Impact of Anti-Angiogenic Agents on U87 Glioma Cells |
title_full_unstemmed | Metabolic Impact of Anti-Angiogenic Agents on U87 Glioma Cells |
title_short | Metabolic Impact of Anti-Angiogenic Agents on U87 Glioma Cells |
title_sort | metabolic impact of anti-angiogenic agents on u87 glioma cells |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055646/ https://www.ncbi.nlm.nih.gov/pubmed/24922514 http://dx.doi.org/10.1371/journal.pone.0099198 |
work_keys_str_mv | AT mestitanja metabolicimpactofantiangiogenicagentsonu87gliomacells AT savarinphilippe metabolicimpactofantiangiogenicagentsonu87gliomacells AT tribamohamedn metabolicimpactofantiangiogenicagentsonu87gliomacells AT lemoyeclaurence metabolicimpactofantiangiogenicagentsonu87gliomacells AT ocvirkjanja metabolicimpactofantiangiogenicagentsonu87gliomacells AT banissiclaire metabolicimpactofantiangiogenicagentsonu87gliomacells AT carpentierantoinef metabolicimpactofantiangiogenicagentsonu87gliomacells |