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Global extracellular vesicle proteomic signature defines U87-MG glioma cell hypoxic status with potential implications for non-invasive diagnostics
PURPOSE: Glioblastoma multiforme (GBM) is the most common and lethal of primary malignant brain tumors. Hypoxia constitutes a major determining factor for the poor prognosis of high-grade glioma patients, and is known to contribute to the development of treatment resistance. Therefore, new strategie...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764937/ https://www.ncbi.nlm.nih.gov/pubmed/31414377 http://dx.doi.org/10.1007/s11060-019-03262-4 |
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author | Indira Chandran, Vineesh Welinder, Charlotte Gonçalves de Oliveira, Kelin Cerezo-Magaña, Myriam Månsson, Ann-Sofie Johansson, Maria C. Marko-Varga, Gyorgy Belting, Mattias |
author_facet | Indira Chandran, Vineesh Welinder, Charlotte Gonçalves de Oliveira, Kelin Cerezo-Magaña, Myriam Månsson, Ann-Sofie Johansson, Maria C. Marko-Varga, Gyorgy Belting, Mattias |
author_sort | Indira Chandran, Vineesh |
collection | PubMed |
description | PURPOSE: Glioblastoma multiforme (GBM) is the most common and lethal of primary malignant brain tumors. Hypoxia constitutes a major determining factor for the poor prognosis of high-grade glioma patients, and is known to contribute to the development of treatment resistance. Therefore, new strategies to comprehensively profile and monitor the hypoxic status of gliomas are of high clinical relevance. Here, we have explored how the proteome of secreted extracellular vesicles (EVs) at the global level may reflect hypoxic glioma cells. METHODS: We have employed shotgun proteomics and label free quantification to profile EVs isolated from human high-grade glioma U87-MG cells cultured at normoxia or hypoxia. Parallel reaction monitoring was used to quantify the identified, hypoxia-associated EV proteins. To determine the potential biological significance of hypoxia-associated proteins, the cumulative Z score of identified EV proteins was compared with GBM subtypes from HGCC and TCGA databases. RESULTS: In total, 2928 proteins were identified in EVs, out of which 1654 proteins overlapped with the ExoCarta EV-specific database. We found 1034 proteins in EVs that were unique to the hypoxic status of U87-MG cells. We subsequently identified an EV protein signature, “HYP(SIGNATURE)”, encompassing nine proteins that strongly represented the hypoxic situation and exhibited close proximity to the mesenchymal GBM subtype. CONCLUSIONS: We propose, for the first time, an EV protein signature that could comprehensively reflect the hypoxic status of high-grade glioma cells. The presented data provide proof-of-concept for targeted proteomic profiling of glioma derived EVs, which should motivate future studies exploring its utility in non-invasive diagnosis and monitoring of brain tumor patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11060-019-03262-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6764937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-67649372019-10-07 Global extracellular vesicle proteomic signature defines U87-MG glioma cell hypoxic status with potential implications for non-invasive diagnostics Indira Chandran, Vineesh Welinder, Charlotte Gonçalves de Oliveira, Kelin Cerezo-Magaña, Myriam Månsson, Ann-Sofie Johansson, Maria C. Marko-Varga, Gyorgy Belting, Mattias J Neurooncol Laboratory Investigation PURPOSE: Glioblastoma multiforme (GBM) is the most common and lethal of primary malignant brain tumors. Hypoxia constitutes a major determining factor for the poor prognosis of high-grade glioma patients, and is known to contribute to the development of treatment resistance. Therefore, new strategies to comprehensively profile and monitor the hypoxic status of gliomas are of high clinical relevance. Here, we have explored how the proteome of secreted extracellular vesicles (EVs) at the global level may reflect hypoxic glioma cells. METHODS: We have employed shotgun proteomics and label free quantification to profile EVs isolated from human high-grade glioma U87-MG cells cultured at normoxia or hypoxia. Parallel reaction monitoring was used to quantify the identified, hypoxia-associated EV proteins. To determine the potential biological significance of hypoxia-associated proteins, the cumulative Z score of identified EV proteins was compared with GBM subtypes from HGCC and TCGA databases. RESULTS: In total, 2928 proteins were identified in EVs, out of which 1654 proteins overlapped with the ExoCarta EV-specific database. We found 1034 proteins in EVs that were unique to the hypoxic status of U87-MG cells. We subsequently identified an EV protein signature, “HYP(SIGNATURE)”, encompassing nine proteins that strongly represented the hypoxic situation and exhibited close proximity to the mesenchymal GBM subtype. CONCLUSIONS: We propose, for the first time, an EV protein signature that could comprehensively reflect the hypoxic status of high-grade glioma cells. The presented data provide proof-of-concept for targeted proteomic profiling of glioma derived EVs, which should motivate future studies exploring its utility in non-invasive diagnosis and monitoring of brain tumor patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11060-019-03262-4) contains supplementary material, which is available to authorized users. Springer US 2019-08-14 2019 /pmc/articles/PMC6764937/ /pubmed/31414377 http://dx.doi.org/10.1007/s11060-019-03262-4 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Laboratory Investigation Indira Chandran, Vineesh Welinder, Charlotte Gonçalves de Oliveira, Kelin Cerezo-Magaña, Myriam Månsson, Ann-Sofie Johansson, Maria C. Marko-Varga, Gyorgy Belting, Mattias Global extracellular vesicle proteomic signature defines U87-MG glioma cell hypoxic status with potential implications for non-invasive diagnostics |
title | Global extracellular vesicle proteomic signature defines U87-MG glioma cell hypoxic status with potential implications for non-invasive diagnostics |
title_full | Global extracellular vesicle proteomic signature defines U87-MG glioma cell hypoxic status with potential implications for non-invasive diagnostics |
title_fullStr | Global extracellular vesicle proteomic signature defines U87-MG glioma cell hypoxic status with potential implications for non-invasive diagnostics |
title_full_unstemmed | Global extracellular vesicle proteomic signature defines U87-MG glioma cell hypoxic status with potential implications for non-invasive diagnostics |
title_short | Global extracellular vesicle proteomic signature defines U87-MG glioma cell hypoxic status with potential implications for non-invasive diagnostics |
title_sort | global extracellular vesicle proteomic signature defines u87-mg glioma cell hypoxic status with potential implications for non-invasive diagnostics |
topic | Laboratory Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764937/ https://www.ncbi.nlm.nih.gov/pubmed/31414377 http://dx.doi.org/10.1007/s11060-019-03262-4 |
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