EV-associated miRNAs from pleural lavage as potential diagnostic biomarkers in lung cancer

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  • dc.contributor.author Roman-Canal, Berta
  • dc.contributor.author Moiola, Cristian Pablo
  • dc.contributor.author Gatius, Sònia
  • dc.contributor.author Bonnin, Sarah
  • dc.contributor.author Ruiz-Miró, Maria
  • dc.contributor.author González, Esperanza
  • dc.contributor.author Ojanguren, Amaia
  • dc.contributor.author Recuero, José Luis
  • dc.contributor.author Gil-Moreno, Antonio
  • dc.contributor.author Falcón-Pérez, Juan M.
  • dc.contributor.author Ponomarenko, Julia
  • dc.contributor.author Porcel, José M.
  • dc.contributor.author Matias-Guiu, Xavier
  • dc.contributor.author Colas, Eva
  • dc.date.accessioned 2020-04-08T07:08:27Z
  • dc.date.available 2020-04-08T07:08:27Z
  • dc.date.issued 2019
  • dc.description.abstract Lung cancer is the leading cause of cancer-related deaths among men and women in the world, accounting for the 25% of cancer mortality. Early diagnosis is an unmet clinical issue. In this work, we focused to develop a novel approach to identify highly sensitive and specific biomarkers by investigating the use of extracellular vesicles (EVs) isolated from the pleural lavage, a proximal fluid in lung cancer patients, as a source of potential biomarkers. We isolated EVs by ultracentrifuge method from 25 control pleural fluids and 21 pleural lavages from lung cancer patients. Analysis of the expression of EV-associated miRNAs was performed using Taqman OpenArray technology through which we could detect 288 out of the 754 miRNAs that were contained in the OpenArray. The differential expression analysis yielded a list of 14 miRNAs that were significantly dysregulated (adj. p-value < 0.05 and logFC lower or higher than 3). Using Machine Learning approach we discovered the lung cancer diagnostic biomarkers; miRNA-1-3p, miRNA-144-5p and miRNA-150-5p were found to be the best by accuracy. Accordance with our finding, these miRNAs have been related to cancer processes in previous studies. This results opens the avenue to the use of EV-associated miRNA of pleural fluids and lavages as an untapped source of biomarkers, and specifically, identifies miRNA-1-3p, miRNA-144-5p and miRNA 150-5p as promising biomarkers of lung cancer diagnosis.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Roman-Canal B, Moiola CP, Gatius S, Bonnin S, Ruiz-Miró M, González E, Ojanguren A, Recuero JL, Gil-Moreno A, Falcón-Pérez JM, Ponomarenko J, Porcel JM, Matias-Guiu X, Colas E. EV-associated miRNAs from pleural lavage as potential diagnostic biomarkers in lung cancer. Sci Rep. 2019; 9(1):15057. DOI: 10.1038/s41598-019-51578-y
  • dc.identifier.doi http://dx.doi.org/10.1038/s41598-019-51578-y
  • dc.identifier.issn 2045-2322
  • dc.identifier.uri http://hdl.handle.net/10230/44182
  • dc.language.iso eng
  • dc.publisher Nature Research
  • dc.relation.ispartof Sci Rep. 2019; 9(1):15057
  • dc.rights © The Author(s) 2019. 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/.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0/
  • dc.subject.keyword Diagnostic markers
  • dc.subject.keyword Lung cancer
  • dc.title EV-associated miRNAs from pleural lavage as potential diagnostic biomarkers in lung cancer
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion

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