Proteomic analysis of ascitic extracellular vesicles describes tumour microenvironment and predicts patient survival in ovarian cancer
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F24%3A00079759" target="_blank" >RIV/65269705:_____/24:00079759 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14310/24:00135786 RIV/00027162:_____/24:N0000155
Result on the web
<a href="https://isevjournals.onlinelibrary.wiley.com/doi/10.1002/jev2.12420" target="_blank" >https://isevjournals.onlinelibrary.wiley.com/doi/10.1002/jev2.12420</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/jev2.12420" target="_blank" >10.1002/jev2.12420</a>
Alternative languages
Result language
angličtina
Original language name
Proteomic analysis of ascitic extracellular vesicles describes tumour microenvironment and predicts patient survival in ovarian cancer
Original language description
High-grade serous carcinoma of the ovary, fallopian tube and peritoneum (HGSC), the most common type of ovarian cancer, ranks among the deadliest malignancies. Many HGSC patients have excess fluid in the peritoneum called ascites. Ascites is a tumour microenvironment (TME) containing various cells, proteins and extracellular vesicles (EVs). We isolated EVs from patients' ascites by orthogonal methods and analyzed them by mass spectrometry. We identified not only a set of 'core ascitic EV-associated proteins' but also defined their subset unique to HGSC ascites. Using single-cell RNA sequencing data, we mapped the origin of HGSC-specific EVs to different types of cells present in ascites. Surprisingly, EVs did not come predominantly from tumour cells but from non-malignant cell types such as macrophages and fibroblasts. Flow cytometry of ascitic cells in combination with analysis of EV protein composition in matched samples showed that analysis of cell type-specific EV markers in HGSC has more substantial prognostic potential than analysis of ascitic cells. To conclude, we provide evidence that proteomic analysis of EVs can define the cellular composition of HGSC TME. This finding opens numerous avenues both for a better understanding of EV's role in tumour promotion/prevention and for improved HGSC diagnostics.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10601 - Cell biology
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Extracellular Vesicles
ISSN
2001-3078
e-ISSN
2001-3078
Volume of the periodical
13
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
22
Pages from-to
"e12420"
UT code for WoS article
001185652600001
EID of the result in the Scopus database
2-s2.0-85188085611