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Diagnostic and prognostic potential of the proteomic profiling of serum-derived extracellular vesicles in prostate cancer
- Source :
- Cell Death and Disease, Vol 12, Iss 7, Pp 1-14 (2021), Cell Death & Disease
- Publication Year :
- 2021
- Publisher :
- Nature Publishing Group, 2021.
-
Abstract
- Extracellular vesicles (EVs) and their cargo represent an intriguing source of cancer biomarkers for developing robust and sensitive molecular tests by liquid biopsy. Prostate cancer (PCa) is still one of the most frequent and deadly tumor in men and analysis of EVs from biological fluids of PCa patients has proven the feasibility and the unprecedented potential of such an approach. Here, we exploited an antibody-based proteomic technology, i.e. the Reverse-Phase Protein microArrays (RPPA), to measure key antigens and activated signaling in EVs isolated from sera of PCa patients. Notably, we found tumor-specific protein profiles associated with clinical settings as well as candidate markers for EV-based tumor diagnosis. Among others, PD-L1, ERG, Integrin-β5, Survivin, TGF-β, phosphorylated-TSC2 as well as partners of the MAP-kinase and mTOR pathways emerged as differentially expressed endpoints in tumor-derived EVs. In addition, the retrospective analysis of EVs from a 15-year follow-up cohort generated a protein signature with prognostic significance. Our results confirm that serum-derived EV cargo may be exploited to improve the current diagnostic procedures while providing potential prognostic and predictive information. The approach proposed here has been already applied to tumor entities other than PCa, thus proving its value in translational medicine and paving the way to innovative, clinically meaningful tools.
- Subjects :
- Adult
Male
Proteomics
Cancer Research
Proteome
Immunology
Protein Array Analysis
Article
Tumour biomarkers
Cellular and Molecular Neuroscience
Prostate cancer
Extracellular Vesicles
Settore MED/04 - PATOLOGIA GENERALE
Predictive Value of Tests
Cell Line, Tumor
medicine
Biomarkers, Tumor
Humans
Liquid biopsy
PI3K/AKT/mTOR pathway
Aged
Retrospective Studies
QH573-671
Proteomic Profiling
business.industry
Prostatic Neoplasms
Reproducibility of Results
Cell Biology
Middle Aged
medicine.disease
Neoplasm Proteins
Protein-protein interaction networks
Cancer research
Protein microarray
Cancer biomarkers
business
Cytology
Subjects
Details
- Language :
- English
- ISSN :
- 20414889
- Volume :
- 12
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- Cell Death and Disease
- Accession number :
- edsair.doi.dedup.....ddb3373006da5dcbf087071235e88776