Distinctive features of blood- and ascitic fluid-derived extracellular vesicles in ovarian cancer patients

Francesca Gorini & Gloria Ravegnini et al. · 2025-04-21

1Citations

Abstract

Background

Ovarian cancer (OC) is a highly aggressive malignancy characterized by early dissemination of cancer cells from the surface of the ovary to the peritoneum. To gain a deeper understanding of the mechanisms associated with this intraperitoneal spread, we aimed to characterize the role of extracellular vesicles (EVs) in metastatic colonization in OC.

Methods

To this purpose, a total of 150 samples of ascitic fluids, blood serum, tumor and normal tissues from 60 OC patients, were extensively analyzed to characterize the EVs released in blood and ascitic fluids of OC patients, in terms of size, expression of superficial epitopes and abundance of miRNAs biocargo.

Results

A statistically significant difference in the size of EVs derived from ascitic fluid and serum was identified. Analysis of surface protein expression highlighted twenty epitopes with a significant difference between the two biological matrices, of which 18 were over- and two were under-expressed in ascitic fluid. With regard to miRNA levels, Principal Component Analysis (PCA) assessed four distinct clusters representing tumor tissue, normal tissue, ascitic fluid, and serum. A prominent difference in circulating miRNAs was observed in serum and ascitic fluid highlighting 98 miRNAs significantly deregulated (P-adj < 0.05) between the two bodily fluids. Deregulated miRNAs and epitopes underline an enrichment in ascites in components contributing to the metastatic spread.

Conclusion

The results highlight a clear difference between the two biological fluids, suggesting that tumor selectively releases specific EVs populations in serum or ascites. In this context, it seems that ascites-derived EVs play a major role in modulating EMT and metastatic cascade, which is a key feature of OC.

TL;DR

It seems that ascites-derived EVs play a major role in modulating EMT and metastatic cascade, which is a key feature of OC.

AI-generated by Semantic Scholar

Authors
Francesca Gorini, Camelia Alexandra Coada, Sarah Monesmith, Antonio De Leo, Dario de Biase, Giulia Dondi, Stella Di Costanzo, Francesco Mezzapesa, Ivan Vannini, Mattia Melloni, Sara Bandini, Flora Guerra, Riccardo Di Corato, Pierandrea De Iaco, Patrizia Hrelia, Anna Myriam Perrone, Sabrina Angelini, Gloria Ravegnini