Publication:20191025125907

From Bioinformatics Core Wiki
Revision as of 12:59, 25 October 2019 by Sbonnin (Talk | contribs)

(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

Publication
URL https://www.ncbi.nlm.nih.gov/pubmed/31636323
Title EV-associated miRNAs from pleural lavage as potential diagnostic biomarkers in lung cancer

Authors Berta Roman-Canal, Cristian Pablo Moiola, Sònia Gatius, Sarah Bonnin, Maria Ruiz-Miró, Esperanza González, Amaia Ojanguren, José Luis Recuero, Antonio Gil-Moreno, Juan M. Falcón-Pérez, Julia Ponomarenko, José M. Porcel, Xavier Matias-Guiu, Eva Colas
Date 2019-10-21

Publisher Scientific Reports
DOI 10.1038/s41598-019-51578-y
Tag Aged, Aged, 80 and over, Biomarkers, Tumor, Extracellular Vesicles, Female, Gene Ontology, Humans, Lung Neoplasms, Male, MicroRNAs, Middle Aged, Pleura, RNA, Messenger, Therapeutic Irrigation



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 


Annotation
Bioinformatics Core Facility @ CRG — 2011-2024