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Diagnostic and prognostic potential of the proteomic profiling of serum-derived extracellular vesicles in prostate cancer

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 pat...

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Autores principales: Signore, Michele, Alfonsi, Romina, Federici, Giulia, Nanni, Simona, Addario, Antonio, Bertuccini, Lucia, Aiello, Aurora, Di Pace, Anna Laura, Sperduti, Isabella, Muto, Giovanni, Giacobbe, Alessandro, Collura, Devis, Brunetto, Lidia, Simone, Giuseppe, Costantini, Manuela, Crinò, Lucio, Rossi, Stefania, Tabolacci, Claudio, Diociaiuti, Marco, Merlino, Tania, Gallucci, Michele, Sentinelli, Steno, Papalia, Rocco, De Maria, Ruggero, Bonci, Désirée
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215487/
https://www.ncbi.nlm.nih.gov/pubmed/34155195
http://dx.doi.org/10.1038/s41419-021-03909-z
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author Signore, Michele
Alfonsi, Romina
Federici, Giulia
Nanni, Simona
Addario, Antonio
Bertuccini, Lucia
Aiello, Aurora
Di Pace, Anna Laura
Sperduti, Isabella
Muto, Giovanni
Giacobbe, Alessandro
Collura, Devis
Brunetto, Lidia
Simone, Giuseppe
Costantini, Manuela
Crinò, Lucio
Rossi, Stefania
Tabolacci, Claudio
Diociaiuti, Marco
Merlino, Tania
Gallucci, Michele
Sentinelli, Steno
Papalia, Rocco
De Maria, Ruggero
Bonci, Désirée
author_facet Signore, Michele
Alfonsi, Romina
Federici, Giulia
Nanni, Simona
Addario, Antonio
Bertuccini, Lucia
Aiello, Aurora
Di Pace, Anna Laura
Sperduti, Isabella
Muto, Giovanni
Giacobbe, Alessandro
Collura, Devis
Brunetto, Lidia
Simone, Giuseppe
Costantini, Manuela
Crinò, Lucio
Rossi, Stefania
Tabolacci, Claudio
Diociaiuti, Marco
Merlino, Tania
Gallucci, Michele
Sentinelli, Steno
Papalia, Rocco
De Maria, Ruggero
Bonci, Désirée
author_sort Signore, Michele
collection PubMed
description 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.
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spelling pubmed-82154872021-06-21 Diagnostic and prognostic potential of the proteomic profiling of serum-derived extracellular vesicles in prostate cancer Signore, Michele Alfonsi, Romina Federici, Giulia Nanni, Simona Addario, Antonio Bertuccini, Lucia Aiello, Aurora Di Pace, Anna Laura Sperduti, Isabella Muto, Giovanni Giacobbe, Alessandro Collura, Devis Brunetto, Lidia Simone, Giuseppe Costantini, Manuela Crinò, Lucio Rossi, Stefania Tabolacci, Claudio Diociaiuti, Marco Merlino, Tania Gallucci, Michele Sentinelli, Steno Papalia, Rocco De Maria, Ruggero Bonci, Désirée Cell Death Dis Article 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. Nature Publishing Group UK 2021-06-21 /pmc/articles/PMC8215487/ /pubmed/34155195 http://dx.doi.org/10.1038/s41419-021-03909-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Signore, Michele
Alfonsi, Romina
Federici, Giulia
Nanni, Simona
Addario, Antonio
Bertuccini, Lucia
Aiello, Aurora
Di Pace, Anna Laura
Sperduti, Isabella
Muto, Giovanni
Giacobbe, Alessandro
Collura, Devis
Brunetto, Lidia
Simone, Giuseppe
Costantini, Manuela
Crinò, Lucio
Rossi, Stefania
Tabolacci, Claudio
Diociaiuti, Marco
Merlino, Tania
Gallucci, Michele
Sentinelli, Steno
Papalia, Rocco
De Maria, Ruggero
Bonci, Désirée
Diagnostic and prognostic potential of the proteomic profiling of serum-derived extracellular vesicles in prostate cancer
title Diagnostic and prognostic potential of the proteomic profiling of serum-derived extracellular vesicles in prostate cancer
title_full Diagnostic and prognostic potential of the proteomic profiling of serum-derived extracellular vesicles in prostate cancer
title_fullStr Diagnostic and prognostic potential of the proteomic profiling of serum-derived extracellular vesicles in prostate cancer
title_full_unstemmed Diagnostic and prognostic potential of the proteomic profiling of serum-derived extracellular vesicles in prostate cancer
title_short Diagnostic and prognostic potential of the proteomic profiling of serum-derived extracellular vesicles in prostate cancer
title_sort diagnostic and prognostic potential of the proteomic profiling of serum-derived extracellular vesicles in prostate cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215487/
https://www.ncbi.nlm.nih.gov/pubmed/34155195
http://dx.doi.org/10.1038/s41419-021-03909-z
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