Article ; Online: Triple negative breast cancer-derived small extracellular vesicles as modulator of biomechanics in target cells.
Nanomedicine : nanotechnology, biology, and medicine
2022 Volume 44, Page(s) 102582
Abstract: Extracellular vesicle (EV) mediated communication has recently been proposed as one of the pivotal routes in the development of cancer metastasis. EVs are nano-sized vesicles swapped between cells, carrying a biologically active content that can promote ... ...
| Abstract | Extracellular vesicle (EV) mediated communication has recently been proposed as one of the pivotal routes in the development of cancer metastasis. EVs are nano-sized vesicles swapped between cells, carrying a biologically active content that can promote tumor-induced immune suppression, metastasis and angiogenesis. Thus, EVs constitute a potential target in cancer therapy. However, their role in triggering the premetastatic niche and in tumor spreading is still unclear. Here, we focused on the EV ability to modulate the biomechanical properties of target cells, known to play a crucial role in metastatic spreading. To this purpose, we isolated and thoroughly characterized triple-negative breast cancer (TNBC)-derived small EVs. We then evaluated variations in the mechanical properties (cell stiffness, cytoskeleton/nuclear/morphology and Yap activity rearrangements) of non-metastatic breast cancer MCF7 cells upon EV treatment. Our results suggest that TNBC-derived small EVs are able to directly modify MCF7 cells by inducing a decrease in cell stiffness, rearrangements in cytoskeleton, focal adhesions and nuclear/cellular morphology, and an increase in Yap downstream gene expression. Testing the biomechanical response of cells after EV addition might represent a new functional assay in metastatic cancer framework that can be exploited for future application both in diagnosis and in therapy. |
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| MeSH term(s) | Biomechanical Phenomena ; Extracellular Vesicles/metabolism ; Humans ; MCF-7 Cells ; Triple Negative Breast Neoplasms/pathology |
| Language | English |
| Publishing date | 2022-07-08 |
| Publishing country | United States |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 2183417-9 |
| ISSN | 1549-9642 ; 1549-9634 |
| ISSN (online) | 1549-9642 |
| ISSN | 1549-9634 |
| DOI | 10.1016/j.nano.2022.102582 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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