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Serum Extracellular Vesicle-Derived miRNAs in Patients with Non-Small Cell Lung Cancer—Search for Non-Invasive Diagnostic Biomarkers

The aim of the study was a search for diagnostic and/or prognostic biomarkers in patients with non-small cell lung cancer (NSCLC) patients, based on circulating microRNAs (miRs: miR-23a, miR-361, miR-1228 and miR-let7i) in extracellular vesicles (EVs). Serum EVs were isolated from NSCLC patients (n...

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Autores principales: Kryczka, Jolanta, Migdalska-Sęk, Monika, Kordiak, Jacek, Kiszałkiewicz, Justyna M., Pastuszak-Lewandoska, Dorota, Antczak, Adam, Brzeziańska-Lasota, Ewa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998231/
https://www.ncbi.nlm.nih.gov/pubmed/33802346
http://dx.doi.org/10.3390/diagnostics11030425
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author Kryczka, Jolanta
Migdalska-Sęk, Monika
Kordiak, Jacek
Kiszałkiewicz, Justyna M.
Pastuszak-Lewandoska, Dorota
Antczak, Adam
Brzeziańska-Lasota, Ewa
author_facet Kryczka, Jolanta
Migdalska-Sęk, Monika
Kordiak, Jacek
Kiszałkiewicz, Justyna M.
Pastuszak-Lewandoska, Dorota
Antczak, Adam
Brzeziańska-Lasota, Ewa
author_sort Kryczka, Jolanta
collection PubMed
description The aim of the study was a search for diagnostic and/or prognostic biomarkers in patients with non-small cell lung cancer (NSCLC) patients, based on circulating microRNAs (miRs: miR-23a, miR-361, miR-1228 and miR-let7i) in extracellular vesicles (EVs). Serum EVs were isolated from NSCLC patients (n = 31) and control subjects (n = 21). RNA was isolated from EVs and reverse transcription reaction was performed. Relative levels of miR-23a, miR-361, miR-1228 and miR-let7i were assessed in real-time qPCR using TaqMan probes. Analysis was based on the 2-ΔΔCT method. Statistically significant lower levels of miR-23a and miR-let7i were observed among NSCLC patients vs. control group: miR-23a, 0.054 vs. 0.107; miR-let7i, 0.193 vs. 0.369 (p = 0.003, p = 0.005, respectively). A receiver operating characteristic (ROC) curve analysis demonstrated the diagnostic potential of each individual serum EV-derived miRNA with an area under the curve AUC = 0.744 for miR-23a (p = 0.0003), 0.733 for miR-let7i (p = 0.0007). The decreased level of miR-23a in patients correlated with metastasis to lymph nodes and with AJCC tumor staging system. The results demonstrate that miR-23a and miR-let7i may prove clinically useful as significant, non-invasive markers in NSCLC diagnosis. Additionally, changing profile level of miR-23a that correlates with cancer development may be considered as an NSCLC progression marker.
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spelling pubmed-79982312021-03-28 Serum Extracellular Vesicle-Derived miRNAs in Patients with Non-Small Cell Lung Cancer—Search for Non-Invasive Diagnostic Biomarkers Kryczka, Jolanta Migdalska-Sęk, Monika Kordiak, Jacek Kiszałkiewicz, Justyna M. Pastuszak-Lewandoska, Dorota Antczak, Adam Brzeziańska-Lasota, Ewa Diagnostics (Basel) Article The aim of the study was a search for diagnostic and/or prognostic biomarkers in patients with non-small cell lung cancer (NSCLC) patients, based on circulating microRNAs (miRs: miR-23a, miR-361, miR-1228 and miR-let7i) in extracellular vesicles (EVs). Serum EVs were isolated from NSCLC patients (n = 31) and control subjects (n = 21). RNA was isolated from EVs and reverse transcription reaction was performed. Relative levels of miR-23a, miR-361, miR-1228 and miR-let7i were assessed in real-time qPCR using TaqMan probes. Analysis was based on the 2-ΔΔCT method. Statistically significant lower levels of miR-23a and miR-let7i were observed among NSCLC patients vs. control group: miR-23a, 0.054 vs. 0.107; miR-let7i, 0.193 vs. 0.369 (p = 0.003, p = 0.005, respectively). A receiver operating characteristic (ROC) curve analysis demonstrated the diagnostic potential of each individual serum EV-derived miRNA with an area under the curve AUC = 0.744 for miR-23a (p = 0.0003), 0.733 for miR-let7i (p = 0.0007). The decreased level of miR-23a in patients correlated with metastasis to lymph nodes and with AJCC tumor staging system. The results demonstrate that miR-23a and miR-let7i may prove clinically useful as significant, non-invasive markers in NSCLC diagnosis. Additionally, changing profile level of miR-23a that correlates with cancer development may be considered as an NSCLC progression marker. MDPI 2021-03-03 /pmc/articles/PMC7998231/ /pubmed/33802346 http://dx.doi.org/10.3390/diagnostics11030425 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 (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Kryczka, Jolanta
Migdalska-Sęk, Monika
Kordiak, Jacek
Kiszałkiewicz, Justyna M.
Pastuszak-Lewandoska, Dorota
Antczak, Adam
Brzeziańska-Lasota, Ewa
Serum Extracellular Vesicle-Derived miRNAs in Patients with Non-Small Cell Lung Cancer—Search for Non-Invasive Diagnostic Biomarkers
title Serum Extracellular Vesicle-Derived miRNAs in Patients with Non-Small Cell Lung Cancer—Search for Non-Invasive Diagnostic Biomarkers
title_full Serum Extracellular Vesicle-Derived miRNAs in Patients with Non-Small Cell Lung Cancer—Search for Non-Invasive Diagnostic Biomarkers
title_fullStr Serum Extracellular Vesicle-Derived miRNAs in Patients with Non-Small Cell Lung Cancer—Search for Non-Invasive Diagnostic Biomarkers
title_full_unstemmed Serum Extracellular Vesicle-Derived miRNAs in Patients with Non-Small Cell Lung Cancer—Search for Non-Invasive Diagnostic Biomarkers
title_short Serum Extracellular Vesicle-Derived miRNAs in Patients with Non-Small Cell Lung Cancer—Search for Non-Invasive Diagnostic Biomarkers
title_sort serum extracellular vesicle-derived mirnas in patients with non-small cell lung cancer—search for non-invasive diagnostic biomarkers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998231/
https://www.ncbi.nlm.nih.gov/pubmed/33802346
http://dx.doi.org/10.3390/diagnostics11030425
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