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Salivary Extracellular Vesicle-Associated exRNA as Cancer Biomarker

Extracellular vesicles (EVs) secreted in biological fluids contain several transcripts of the cell of origin, which may modify the functions and phenotype of proximal and distant cells. Cancer-derived EVs may promote a favorable microenvironment for cancer growth and invasion by acting on stroma and...

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Detalles Bibliográficos
Autores principales: Chiabotto, Giulia, Gai, Chiara, Deregibus, Maria Chiara, Camussi, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679099/
https://www.ncbi.nlm.nih.gov/pubmed/31247906
http://dx.doi.org/10.3390/cancers11070891
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author Chiabotto, Giulia
Gai, Chiara
Deregibus, Maria Chiara
Camussi, Giovanni
author_facet Chiabotto, Giulia
Gai, Chiara
Deregibus, Maria Chiara
Camussi, Giovanni
author_sort Chiabotto, Giulia
collection PubMed
description Extracellular vesicles (EVs) secreted in biological fluids contain several transcripts of the cell of origin, which may modify the functions and phenotype of proximal and distant cells. Cancer-derived EVs may promote a favorable microenvironment for cancer growth and invasion by acting on stroma and endothelial cells and may favor metastasis formation. The transcripts contained in cancer EVs may be exploited as biomarkers. Protein and extracellular RNA (exRNA) profiling in patient bio-fluids, such as blood and urine, was performed to identify molecular features with potential diagnostic and prognostic values. EVs are concentrated in saliva, and salivary EVs are particularly enriched in exRNAs. Several studies were focused on salivary EVs for the detection of biomarkers either of non-oral or oral cancers. The present paper provides an overview of the available studies on the diagnostic potential of exRNA profiling in salivary EVs.
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spelling pubmed-66790992019-08-19 Salivary Extracellular Vesicle-Associated exRNA as Cancer Biomarker Chiabotto, Giulia Gai, Chiara Deregibus, Maria Chiara Camussi, Giovanni Cancers (Basel) Review Extracellular vesicles (EVs) secreted in biological fluids contain several transcripts of the cell of origin, which may modify the functions and phenotype of proximal and distant cells. Cancer-derived EVs may promote a favorable microenvironment for cancer growth and invasion by acting on stroma and endothelial cells and may favor metastasis formation. The transcripts contained in cancer EVs may be exploited as biomarkers. Protein and extracellular RNA (exRNA) profiling in patient bio-fluids, such as blood and urine, was performed to identify molecular features with potential diagnostic and prognostic values. EVs are concentrated in saliva, and salivary EVs are particularly enriched in exRNAs. Several studies were focused on salivary EVs for the detection of biomarkers either of non-oral or oral cancers. The present paper provides an overview of the available studies on the diagnostic potential of exRNA profiling in salivary EVs. MDPI 2019-06-26 /pmc/articles/PMC6679099/ /pubmed/31247906 http://dx.doi.org/10.3390/cancers11070891 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Chiabotto, Giulia
Gai, Chiara
Deregibus, Maria Chiara
Camussi, Giovanni
Salivary Extracellular Vesicle-Associated exRNA as Cancer Biomarker
title Salivary Extracellular Vesicle-Associated exRNA as Cancer Biomarker
title_full Salivary Extracellular Vesicle-Associated exRNA as Cancer Biomarker
title_fullStr Salivary Extracellular Vesicle-Associated exRNA as Cancer Biomarker
title_full_unstemmed Salivary Extracellular Vesicle-Associated exRNA as Cancer Biomarker
title_short Salivary Extracellular Vesicle-Associated exRNA as Cancer Biomarker
title_sort salivary extracellular vesicle-associated exrna as cancer biomarker
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679099/
https://www.ncbi.nlm.nih.gov/pubmed/31247906
http://dx.doi.org/10.3390/cancers11070891
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