Small extracellular vesicles from malignant ascites of patients with advanced ovarian cancer provide insights into the dynamics of the extracellular matrix.
Barbara BortotMaura ApollonioEnrico RampazzoFrancesco ValleMarco BrucaleAndrea RidolfiBlendi UraRiccardo AddobbatiGiovanni Di LorenzoFederico RomanoFrancesca BuonomoChiara RipepiGiuseppe RicciStefania BiffiPublished in: Molecular oncology (2021)
The exact role of malignant ascites in the development of intraperitoneal metastases remains unclear, and the mechanisms by which extracellular vesicles (EVs) promote tumor progression in the pre-metastatic niche have not been fully discovered. In this study, we characterized ascites from high-grade epithelial ovarian cancer patients. Small-EVs (30-150 nm) were isolated from two sources-the bulk ascites and the ascitic fluid-derived tumor cell cultures-and assessed with a combination of imaging, proteomic profiling, and protein expression analyses. In addition, Gene Ontology and pathway analysis were performed using different databases and bioinformatic tools. The results proved that the small-EVs derived from the two sources exhibited significantly different stiffness and size distributions. The bulk ascitic fluid-derived small-EVs were predominantly involved in the complement and coagulation cascade. Small-EVs derived from ascites cell cultures contained a robust proteomic profile of extracellular matrix remodeling regulators, and we observed an increase in transforming growth factor-β-I (TGFβI), plasminogen activator inhibitor 1 (PAI-1), and fibronectin expression after neoadjuvant chemotherapy. When measured in the two sources, we demonstrated that fibronectin exhibited opposite expression patterns in small-EVs in response to chemotherapy. These findings highlight the importance of an ascites cell isolation workflow in investigating the treatment-induced cancer adaption processes.
Keyphrases
- extracellular matrix
- transforming growth factor
- cell free
- neoadjuvant chemotherapy
- single cell
- poor prognosis
- high grade
- cell therapy
- drinking water
- squamous cell carcinoma
- epithelial mesenchymal transition
- locally advanced
- small cell lung cancer
- lymph node
- high resolution
- copy number
- low grade
- electronic health record
- radiation therapy
- rectal cancer
- machine learning
- big data
- squamous cell
- african american
- diabetic rats
- molecular dynamics
- label free
- drug induced
- deep learning
- chemotherapy induced