Comparative Proteomic Profiling of Secreted Extracellular Vesicles from Breast Fibroadenoma and Malignant Lesions: A Pilot Study
Authors/Creators
- 1. IRCCS SYNLAB SDN
- 2. National Research Council
- 3. Federico II University of Naples
- 4. Percuros BV
- 5. Mediterranea Cardiocentro
- 6. University of Ottawa
- 7. ederico II University of Naples
Description
Extracellular vesicles (EVs) shuttle proteins, RNA, DNA, and lipids crucial for cell-to-cell communication. Recent findings have highlighted that EVs, by virtue of their cargo, may also contribute to breast cancer (BC) growth and metastatic dissemination. Indeed, EVs are gaining great interest as non-invasive cancer biomarkers. However, little is known about the biological and physical properties of EVs from malignant BC lesions, and even less is understood about EVs from non-malignant lesions, such as breast fibroadenoma (FAD), which are clinically managed using conservative approaches. Thus, for this pilot study, we attempted to purify and explore the proteomic profiles of EVs from benign breast lesions, HER2+ BCs, triple–negative BCs (TNBCs), and continuous BC cell lines (i.e., BT-549, MCF–10A, and MDA-MB-231), combining experimental and semi-quantitative approaches. Of note, proteome-wide analyses showed 49 common proteins across EVs harvested from FAD, HER2+ BCs, TNBCs, and model BC lines. This is the first feasibility study evaluating the physicochemical composition and proteome of EVs from benign breast cells and primary and immortalized BC cells. Our preliminary results hold promise for possible implications in precision medicine for BC.
Notes
Files
Comparative Proteomic Profiling of Secreted Extracellular.pdf
Files
(6.6 MB)
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Additional details
Funding
- European Commission
- PRISAR2 - proactive monitoring of cancer as an alternative to surgery 872860
- European Commission
- PAVE - A nanovaccine Approach for the treatment of Pancreatic Cancer 861190
- European Commission
- CONCRETE - Concept Creation Technology 611733
- European Commission
- BARRICADE - evolutionary platform to predict breast cancer (BC) patients outcome and response to therapy 895151
- European Commission
- Gl.EXO - Innovative tools to detect Glioblastoma (GBM) exosomes 891551