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Title:	EV-associated miRNAs from peritoneal lavage are a source of biomarkers in endometrial cancer
Author:	Roman-Canal, Berta; Pablo-Moiola, Cristian; Gatius, Sònia; Bonnin, Sarah; Ruiz-Miró, Maria; González, Esperanza; González-Tallada, Xavier; Llordella, Ivanna; Hernández, Isabel; Porcel, José M.; Gil-Moreno, Antonio; Falcón-Pérez, Juan M.; Ponomarenko, Julia; Matias-Guiu, Xavier; Colas, Eva
Abstract:	Endometrial cancer (EC) is the sixth most common cancer in women worldwide and is responsible for more than 89,000 deaths every year. Mortality is associated with presence of poor prognostic factors at diagnosis, i.e., diagnosis at an advanced stage, with a high grade and/or an aggressive histology. Development of novel approaches that would permit us to improve the clinical management of EC patients is an unmet need. In this study, we investigate a novel approach to identify highly sensitive and specific biomarkers of EC using extracellular vesicles (EVs) isolated from the peritoneal lavage of EC patients. EVs of peritoneal lavages of 25 EC patients were isolated and their miRNA content was compared with miRNAs of EVs isolated from the ascitic fluid of 25 control patients. Expression of the EV-associated miRNAs was measured using the Taqman OpenArray technology that allowed us to detect 371 miRNAs. The analysis showed that 114 miRNAs were significantly dysregulated in EC patients, among which eight miRNAs, miRNA-383-5p, miRNA-10b-5p, miRNA-34c-3p, miRNA-449b-5p, miRNA-34c-5p, miRNA-200b-3p, miRNA-2110, and miRNA-34b-3p, demonstrated a classification performance at area under the receiver operating characteristic curve (AUC) values above 0.9. This finding opens an avenue for the use of EV-associated miRNAs of peritoneal lavages as an untapped source of biomarkers for EC.
Subject(s):	-Endometrial cancer -Uterine cancer -Exosomes -Biomarkers -miRNAs -Ascitic fluid -Peritoneal lavage -Liquid biopsy -Extracellular vesicles -microRNAs
Rights:	© 2019 by Berta Roman-Canal et al. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/) http://creativecommons.org/licenses/by/4.0/
Document type:	Article Article - Published version
Published by:	MDPI
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