Publication:20191025125907
From Bioinformatics Core Wiki
| Publication | |
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| URL | https://www.ncbi.nlm.nih.gov/pubmed/31636323 |
| Title | EV-associated miRNAs from pleural lavage as potential diagnostic biomarkers in lung cancer
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| 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
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| 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
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
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