Proteomic analysis of ascitic extracellular vesicles describes
tumour microenvironment and predicts patient survival in
ovarian cancer

J 2024

Proteomic analysis of ascitic extracellular vesicles describes tumour microenvironment and predicts patient survival in ovarian cancer

VYHLÍDALOVÁ KOTRBOVÁ, Anna; Kristína GÖMÖRYOVÁ; Antónia MIKULOVÁ; Hana PLEŠINGEROVÁ; Stanislava SLADEČEK et al.

Základní údaje

Originální název

Proteomic analysis of ascitic extracellular vesicles describes tumour microenvironment and predicts patient survival in ovarian cancer

Autoři

Vydání

Journal of Extracellular Vesicles, Wiley, 2024, 2001-3078

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30204 Oncology

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 14.500

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/24:00135786

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

ascites; extracellular vesicles (EV); fallopian tube and peritoneum (HGSC); high-grade serous carcinoma of the ovary; macrophage; ovarian cancer (OC); tandem mass spectrometry (MS/MS); tumour microenvironment (TME)

Štítky

14110212, 14110230, 14110240, 14110611, 14314010, CF CRYO, CF PROT, podil, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 17. 3. 2025 08:14, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

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.

Návaznosti

EF18_046/0015974, projekt VaV

Název: Modernizace České infrastruktury pro integrativní strukturní biologii

LX22NPO5102, projekt VaV

Název: Národní ústav pro výzkum rakoviny (Akronym: NÚVR)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Národní ústav pro výzkum rakoviny, 5.1 EXCELES

MUNI/R/1225/2021, interní kód MU

Název: The potential of ascites in ovarian cancer research

Investor: Masarykova univerzita, The potential of ascites in ovarian cancer research, CAREER RESTART

NU21-03-00306, projekt VaV

Název: Komplexní genomové profilování u pacientek s karcinomem ovaria léčených platinovými deriváty: identifikace prediktivních biomarkerů a ověření využitelnosti precizní onkologie

Investor: Ministerstvo zdravotnictví ČR, Komplexní genomové profilování u pacientek s karcinomem ovaria léčených platinovými deriváty: identifikace prediktivních biomarkerů a ověření využitelnosti precizní onkologie, Podprogram 1 - standardní

90140, velká výzkumná infrastruktura

Název: e-INFRA CZ

90242, velká výzkumná infrastruktura

Název: CIISB III

Přiložené soubory

2392978.pdf

Citovat

VYHLÍDALOVÁ KOTRBOVÁ, Anna; Kristína GÖMÖRYOVÁ; Antónia MIKULOVÁ; Hana PLEŠINGEROVÁ; Stanislava SLADEČEK; Marek KRAVEC; Šárka HRACHOVINOVÁ; David POTĚŠIL; Garett DUNSMORE; Camille BLERIOT; Mathilde BIED; Jan KOTOUČEK; Markéta BEDNAŘÍKOVÁ; Jitka HAUSNEROVÁ; Luboš MINÁŘ; Igor CRHA; Michal FELSINGER; Zbyněk ZDRÁHAL; Florent GINHOUX; Vít WEINBERGER; Vítězslav BRYJA a Vendula HLAVÁČKOVÁ POSPÍCHALOVÁ. Proteomic analysis of ascitic extracellular vesicles describes tumour microenvironment and predicts patient survival in ovarian cancer. Journal of Extracellular Vesicles. Wiley, 2024, roč. 13, č. 3, s. 1-22. ISSN 2001-3078. Dostupné z: https://doi.org/10.1002/jev2.12420.

@article{2392978,
   author = {Vyhlídalová Kotrbová, Anna and Gömöryová, Kristína and Mikulová, Antónia and Plešingerová, Hana and Sladeček, Stanislava and Kravec, Marek and Hrachovinová, Šárka and Potěšil, David and Dunsmore, Garett and Bleriot, Camille and Bied, Mathilde and Kotouček, Jan and Bednaříková, Markéta and Hausnerová, Jitka and Minář, Luboš and Crha, Igor and Felsinger, Michal and Zdráhal, Zbyněk and Ginhoux, Florent and Weinberger, Vít and Bryja, Vítězslav and Hlaváčková Pospíchalová, Vendula},
   article_number = {3},
   doi = {https://doi.org/10.1002/jev2.12420},
   keywords = {ascites; extracellular vesicles (EV); fallopian tube and peritoneum (HGSC); high-grade serous carcinoma of the ovary; macrophage; ovarian cancer (OC); tandem mass spectrometry (MS/MS); tumour microenvironment (TME)},
   language = {eng},
   issn = {2001-3078},
   journal = {Journal of Extracellular Vesicles},
   title = {Proteomic analysis of ascitic extracellular vesicles describes tumour microenvironment and predicts patient survival in ovarian cancer},
   url = {https://isevjournals.onlinelibrary.wiley.com/doi/10.1002/jev2.12420},
   volume = {13},
   year = {2024}
}

TY  - JOUR
ID  - 2392978
AU  - Vyhlídalová Kotrbová, Anna - Gömöryová, Kristína - Mikulová, Antónia - Plešingerová, Hana - Sladeček, Stanislava - Kravec, Marek - Hrachovinová, Šárka - Potěšil, David - Dunsmore, Garett - Bleriot, Camille - Bied, Mathilde - Kotouček, Jan - Bednaříková, Markéta - Hausnerová, Jitka - Minář, Luboš - Crha, Igor - Felsinger, Michal - Zdráhal, Zbyněk - Ginhoux, Florent - Weinberger, Vít - Bryja, Vítězslav - Hlaváčková Pospíchalová, Vendula
PY  - 2024
TI  - Proteomic analysis of ascitic extracellular vesicles describes tumour microenvironment and predicts patient survival in ovarian cancer
JF  - Journal of Extracellular Vesicles
VL  - 13
IS  - 3
SP  - 1-22
EP  - 1-22
PB  - Wiley
SN  - 20013078
KW  - ascites
KW  - extracellular vesicles (EV)
KW  - fallopian tube and peritoneum (HGSC)
KW  - high-grade serous carcinoma of the ovary
KW  - macrophage
KW  - ovarian cancer (OC)
KW  - tandem mass spectrometry (MS/MS)
KW  - tumour microenvironment (TME)
UR  - https://isevjournals.onlinelibrary.wiley.com/doi/10.1002/jev2.12420
N2  - 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.
ER  -

VYHLÍDALOVÁ KOTRBOVÁ, Anna; Kristína GÖMÖRYOVÁ; Antónia MIKULOVÁ; Hana PLEŠINGEROVÁ; Stanislava SLADEČEK; Marek KRAVEC; Šárka HRACHOVINOVÁ; David POTĚŠIL; Garett DUNSMORE; Camille BLERIOT; Mathilde BIED; Jan KOTOUČEK; Markéta BEDNAŘÍKOVÁ; Jitka HAUSNEROVÁ; Luboš MINÁŘ; Igor CRHA; Michal FELSINGER; Zbyněk ZDRÁHAL; Florent GINHOUX; Vít WEINBERGER; Vítězslav BRYJA a Vendula HLAVÁČKOVÁ POSPÍCHALOVÁ. Proteomic analysis of ascitic extracellular vesicles describes tumour microenvironment and predicts patient survival in ovarian cancer. \textit{Journal of Extracellular Vesicles}. Wiley, 2024, roč.~13, č.~3, s.~1-22. ISSN~2001-3078. Dostupné z: https://doi.org/10.1002/jev2.12420.

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