Cargando…

Plasma Extracellular Vesicle miRNAs Can Identify Lung Cancer, Current Smoking Status, and Stable COPD

Lung cancer remains the leading cause of cancer related mortality worldwide. We aimed to test whether a simple blood biomarker (extracellular vesicle miRNAs) can discriminate between cases with and without lung cancer. Methods: plasma extracellular vesicles (EVs) were isolated from four cohorts (n =...

Descripción completa

Detalles Bibliográficos
Autores principales: O’Farrell, Hannah E., Bowman, Rayleen V., Fong, Kwun M., Yang, Ian A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198071/
https://www.ncbi.nlm.nih.gov/pubmed/34071592
http://dx.doi.org/10.3390/ijms22115803
_version_ 1783707050392420352
author O’Farrell, Hannah E.
Bowman, Rayleen V.
Fong, Kwun M.
Yang, Ian A.
author_facet O’Farrell, Hannah E.
Bowman, Rayleen V.
Fong, Kwun M.
Yang, Ian A.
author_sort O’Farrell, Hannah E.
collection PubMed
description Lung cancer remains the leading cause of cancer related mortality worldwide. We aimed to test whether a simple blood biomarker (extracellular vesicle miRNAs) can discriminate between cases with and without lung cancer. Methods: plasma extracellular vesicles (EVs) were isolated from four cohorts (n = 20 in each): healthy non-smokers, healthy smokers, lung cancer, and stable COPD participants. EV miRNA expression was evaluated using the miRCURY LNA miRNA Serum/Plasma assay for 179 specific targets. Significantly dysregulated miRNAs were assessed for discriminatory power using ROC curve analysis. Results: 15 miRNAs were differentially expressed between lung cancer and healthy non-smoking participants, with the greatest single miRNA being miR-205-5p (AUC 0.850), improving to AUC 0.993 in combination with miR-199a-5p. Moreover, 26 miRNAs were significantly dysregulated between lung cancer and healthy smoking participants, with the greatest single miRNA being miR-497-5p (AUC 0.873), improving to AUC 0.953 in combination with miR-22-5p; 14 miRNAs were significantly dysregulated between lung cancer and stable COPD participants, with the greatest single miRNA being miR-27a-3p (AUC 0.803), with two other miRNAs (miR-106b-3p and miR-361-5p) further improving discriminatory power (AUC 0.870). Conclusion: this case control study suggests miRNAs in EVs from plasma holds key biological information specific for lung cancer and warrants further prospective assessment.
format Online
Article
Text
id pubmed-8198071
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-81980712021-06-14 Plasma Extracellular Vesicle miRNAs Can Identify Lung Cancer, Current Smoking Status, and Stable COPD O’Farrell, Hannah E. Bowman, Rayleen V. Fong, Kwun M. Yang, Ian A. Int J Mol Sci Article Lung cancer remains the leading cause of cancer related mortality worldwide. We aimed to test whether a simple blood biomarker (extracellular vesicle miRNAs) can discriminate between cases with and without lung cancer. Methods: plasma extracellular vesicles (EVs) were isolated from four cohorts (n = 20 in each): healthy non-smokers, healthy smokers, lung cancer, and stable COPD participants. EV miRNA expression was evaluated using the miRCURY LNA miRNA Serum/Plasma assay for 179 specific targets. Significantly dysregulated miRNAs were assessed for discriminatory power using ROC curve analysis. Results: 15 miRNAs were differentially expressed between lung cancer and healthy non-smoking participants, with the greatest single miRNA being miR-205-5p (AUC 0.850), improving to AUC 0.993 in combination with miR-199a-5p. Moreover, 26 miRNAs were significantly dysregulated between lung cancer and healthy smoking participants, with the greatest single miRNA being miR-497-5p (AUC 0.873), improving to AUC 0.953 in combination with miR-22-5p; 14 miRNAs were significantly dysregulated between lung cancer and stable COPD participants, with the greatest single miRNA being miR-27a-3p (AUC 0.803), with two other miRNAs (miR-106b-3p and miR-361-5p) further improving discriminatory power (AUC 0.870). Conclusion: this case control study suggests miRNAs in EVs from plasma holds key biological information specific for lung cancer and warrants further prospective assessment. MDPI 2021-05-28 /pmc/articles/PMC8198071/ /pubmed/34071592 http://dx.doi.org/10.3390/ijms22115803 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
O’Farrell, Hannah E.
Bowman, Rayleen V.
Fong, Kwun M.
Yang, Ian A.
Plasma Extracellular Vesicle miRNAs Can Identify Lung Cancer, Current Smoking Status, and Stable COPD
title Plasma Extracellular Vesicle miRNAs Can Identify Lung Cancer, Current Smoking Status, and Stable COPD
title_full Plasma Extracellular Vesicle miRNAs Can Identify Lung Cancer, Current Smoking Status, and Stable COPD
title_fullStr Plasma Extracellular Vesicle miRNAs Can Identify Lung Cancer, Current Smoking Status, and Stable COPD
title_full_unstemmed Plasma Extracellular Vesicle miRNAs Can Identify Lung Cancer, Current Smoking Status, and Stable COPD
title_short Plasma Extracellular Vesicle miRNAs Can Identify Lung Cancer, Current Smoking Status, and Stable COPD
title_sort plasma extracellular vesicle mirnas can identify lung cancer, current smoking status, and stable copd
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198071/
https://www.ncbi.nlm.nih.gov/pubmed/34071592
http://dx.doi.org/10.3390/ijms22115803
work_keys_str_mv AT ofarrellhannahe plasmaextracellularvesiclemirnascanidentifylungcancercurrentsmokingstatusandstablecopd
AT bowmanrayleenv plasmaextracellularvesiclemirnascanidentifylungcancercurrentsmokingstatusandstablecopd
AT fongkwunm plasmaextracellularvesiclemirnascanidentifylungcancercurrentsmokingstatusandstablecopd
AT yangiana plasmaextracellularvesiclemirnascanidentifylungcancercurrentsmokingstatusandstablecopd