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EV-Associated MMP9 in High-Grade Serous Ovarian Cancer Is Preferentially Localized to Annexin V-Binding EVs
High-grade serous ovarian cancer (HGSOC) is the most aggressive type of ovarian cancer and is responsible for most deaths caused by gynecological cancers. Numerous candidate biomarkers were identified for this disease in the last decades, but most were not sensitive or specific enough for clinical a...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5451862/ https://www.ncbi.nlm.nih.gov/pubmed/28607529 http://dx.doi.org/10.1155/2017/9653194 |
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author | Reiner, Agnes T. Tan, Sisareuth Agreiter, Christiane Auer, Katharina Bachmayr-Heyda, Anna Aust, Stefanie Pecha, Nina Mandorfer, Mattias Pils, Dietmar Brisson, Alain R. Zeillinger, Robert Lim, Sai Kiang |
author_facet | Reiner, Agnes T. Tan, Sisareuth Agreiter, Christiane Auer, Katharina Bachmayr-Heyda, Anna Aust, Stefanie Pecha, Nina Mandorfer, Mattias Pils, Dietmar Brisson, Alain R. Zeillinger, Robert Lim, Sai Kiang |
author_sort | Reiner, Agnes T. |
collection | PubMed |
description | High-grade serous ovarian cancer (HGSOC) is the most aggressive type of ovarian cancer and is responsible for most deaths caused by gynecological cancers. Numerous candidate biomarkers were identified for this disease in the last decades, but most were not sensitive or specific enough for clinical applications. Hence, new biomarkers for HGSOC are urgently required. This study aimed to identify new markers by isolating different extracellular vesicle (EV) types from the ascites of ovarian cancer patients according to their affinities for lipid-binding proteins and analyzing their protein cargo. This approach circumvents the low signal-to-noise ratio when using biological fluids for biomarker discovery and the issue of contamination by large non-EV complexes. We isolated and analyzed three distinct EV populations from the ascites of patients with ovarian cancer or cirrhosis and observed that Annexin V-binding EVs have higher levels of matrix metalloproteinase 9 in malignant compared to portal-hypertensive ascites. As this protein was not detected in other EV populations, this study validates our approach of using different EV types for optimal biomarker discovery. Furthermore, MMP9 in Annexin V-binding EVs could be a HGSOC biomarker with enhanced specificity, because its identification requires detection of two distinct components, that is, lipid and protein. |
format | Online Article Text |
id | pubmed-5451862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-54518622017-06-12 EV-Associated MMP9 in High-Grade Serous Ovarian Cancer Is Preferentially Localized to Annexin V-Binding EVs Reiner, Agnes T. Tan, Sisareuth Agreiter, Christiane Auer, Katharina Bachmayr-Heyda, Anna Aust, Stefanie Pecha, Nina Mandorfer, Mattias Pils, Dietmar Brisson, Alain R. Zeillinger, Robert Lim, Sai Kiang Dis Markers Research Article High-grade serous ovarian cancer (HGSOC) is the most aggressive type of ovarian cancer and is responsible for most deaths caused by gynecological cancers. Numerous candidate biomarkers were identified for this disease in the last decades, but most were not sensitive or specific enough for clinical applications. Hence, new biomarkers for HGSOC are urgently required. This study aimed to identify new markers by isolating different extracellular vesicle (EV) types from the ascites of ovarian cancer patients according to their affinities for lipid-binding proteins and analyzing their protein cargo. This approach circumvents the low signal-to-noise ratio when using biological fluids for biomarker discovery and the issue of contamination by large non-EV complexes. We isolated and analyzed three distinct EV populations from the ascites of patients with ovarian cancer or cirrhosis and observed that Annexin V-binding EVs have higher levels of matrix metalloproteinase 9 in malignant compared to portal-hypertensive ascites. As this protein was not detected in other EV populations, this study validates our approach of using different EV types for optimal biomarker discovery. Furthermore, MMP9 in Annexin V-binding EVs could be a HGSOC biomarker with enhanced specificity, because its identification requires detection of two distinct components, that is, lipid and protein. Hindawi 2017 2017-05-16 /pmc/articles/PMC5451862/ /pubmed/28607529 http://dx.doi.org/10.1155/2017/9653194 Text en Copyright © 2017 Agnes T. Reiner et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Reiner, Agnes T. Tan, Sisareuth Agreiter, Christiane Auer, Katharina Bachmayr-Heyda, Anna Aust, Stefanie Pecha, Nina Mandorfer, Mattias Pils, Dietmar Brisson, Alain R. Zeillinger, Robert Lim, Sai Kiang EV-Associated MMP9 in High-Grade Serous Ovarian Cancer Is Preferentially Localized to Annexin V-Binding EVs |
title | EV-Associated MMP9 in High-Grade Serous Ovarian Cancer Is Preferentially Localized to Annexin V-Binding EVs |
title_full | EV-Associated MMP9 in High-Grade Serous Ovarian Cancer Is Preferentially Localized to Annexin V-Binding EVs |
title_fullStr | EV-Associated MMP9 in High-Grade Serous Ovarian Cancer Is Preferentially Localized to Annexin V-Binding EVs |
title_full_unstemmed | EV-Associated MMP9 in High-Grade Serous Ovarian Cancer Is Preferentially Localized to Annexin V-Binding EVs |
title_short | EV-Associated MMP9 in High-Grade Serous Ovarian Cancer Is Preferentially Localized to Annexin V-Binding EVs |
title_sort | ev-associated mmp9 in high-grade serous ovarian cancer is preferentially localized to annexin v-binding evs |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5451862/ https://www.ncbi.nlm.nih.gov/pubmed/28607529 http://dx.doi.org/10.1155/2017/9653194 |
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