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Plasma extracellular vesicle-packaged microRNAs as candidate diagnostic biomarkers for early-stage breast cancer
Extracellular vesicle-packaged microRNAs (miRNAs) are a class of circulating miRNAs located in the plasma that are packaged into extracellular vesicles. The present study examined the expression profiles of extracellular vesicles and tissue miRNAs with the aim of investigating the miRNA signatures i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797958/ https://www.ncbi.nlm.nih.gov/pubmed/31545424 http://dx.doi.org/10.3892/mmr.2019.10669 |
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author | Yan, Chen Hu, Jintao Yang, Yipeng Hu, Hong Zhou, Dongxian Ma, Min Xu, Nan |
author_facet | Yan, Chen Hu, Jintao Yang, Yipeng Hu, Hong Zhou, Dongxian Ma, Min Xu, Nan |
author_sort | Yan, Chen |
collection | PubMed |
description | Extracellular vesicle-packaged microRNAs (miRNAs) are a class of circulating miRNAs located in the plasma that are packaged into extracellular vesicles. The present study examined the expression profiles of extracellular vesicles and tissue miRNAs with the aim of investigating the miRNA signatures in early-stage breast cancer. The present study identified and compared the extracellular vesicle-packaged miRNA expression signature and tissue miRNA expression signature from healthy individuals (n=10) and patients with early-stage breast cancer (n=12). A total of five miRNAs, including miRNA-375, miRNA-24-2-5p, miRNA-548b-5p, miRNA-655-3P and miRNA-376b-5p, were synchronized in extracellular vesicles and tissues of the breast cancer group when compared with the healthy group. The highest area under the curve (AUC) for a single miRNA was achieved with miRNA-548b-5p [AUC=0.785; 95% confidence interval (CI)=0.585–0.984; P=0.022]. The highest overall AUC was achieved by the combination of miRNA-375, miRNA-655-3p, miRNA-548b-5p and miRNA-24-2-5p (AUC=0.808; 95% CI=0.629–0.986; P=0.013). The Kaplan-Meier curves and log test analysis results of these five miRNAs, especially those for miRNA-548b-5p, were partly consistent with the hypothesis. Two miRNAs (miRNA-548b-5p and miRNA-376b-5p) were positively associated with patient survival, while two miRNAs (miRNA-375 and miRNA-24-2-5p) were negatively associated with patient survival. The present study provided a set of plasma extracellular vesicle-packaged miRNA-based biomarkers for the diagnosis of early-stage breast cancer. |
format | Online Article Text |
id | pubmed-6797958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-67979582019-10-22 Plasma extracellular vesicle-packaged microRNAs as candidate diagnostic biomarkers for early-stage breast cancer Yan, Chen Hu, Jintao Yang, Yipeng Hu, Hong Zhou, Dongxian Ma, Min Xu, Nan Mol Med Rep Articles Extracellular vesicle-packaged microRNAs (miRNAs) are a class of circulating miRNAs located in the plasma that are packaged into extracellular vesicles. The present study examined the expression profiles of extracellular vesicles and tissue miRNAs with the aim of investigating the miRNA signatures in early-stage breast cancer. The present study identified and compared the extracellular vesicle-packaged miRNA expression signature and tissue miRNA expression signature from healthy individuals (n=10) and patients with early-stage breast cancer (n=12). A total of five miRNAs, including miRNA-375, miRNA-24-2-5p, miRNA-548b-5p, miRNA-655-3P and miRNA-376b-5p, were synchronized in extracellular vesicles and tissues of the breast cancer group when compared with the healthy group. The highest area under the curve (AUC) for a single miRNA was achieved with miRNA-548b-5p [AUC=0.785; 95% confidence interval (CI)=0.585–0.984; P=0.022]. The highest overall AUC was achieved by the combination of miRNA-375, miRNA-655-3p, miRNA-548b-5p and miRNA-24-2-5p (AUC=0.808; 95% CI=0.629–0.986; P=0.013). The Kaplan-Meier curves and log test analysis results of these five miRNAs, especially those for miRNA-548b-5p, were partly consistent with the hypothesis. Two miRNAs (miRNA-548b-5p and miRNA-376b-5p) were positively associated with patient survival, while two miRNAs (miRNA-375 and miRNA-24-2-5p) were negatively associated with patient survival. The present study provided a set of plasma extracellular vesicle-packaged miRNA-based biomarkers for the diagnosis of early-stage breast cancer. D.A. Spandidos 2019-11 2019-09-10 /pmc/articles/PMC6797958/ /pubmed/31545424 http://dx.doi.org/10.3892/mmr.2019.10669 Text en Copyright: © Yan et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Yan, Chen Hu, Jintao Yang, Yipeng Hu, Hong Zhou, Dongxian Ma, Min Xu, Nan Plasma extracellular vesicle-packaged microRNAs as candidate diagnostic biomarkers for early-stage breast cancer |
title | Plasma extracellular vesicle-packaged microRNAs as candidate diagnostic biomarkers for early-stage breast cancer |
title_full | Plasma extracellular vesicle-packaged microRNAs as candidate diagnostic biomarkers for early-stage breast cancer |
title_fullStr | Plasma extracellular vesicle-packaged microRNAs as candidate diagnostic biomarkers for early-stage breast cancer |
title_full_unstemmed | Plasma extracellular vesicle-packaged microRNAs as candidate diagnostic biomarkers for early-stage breast cancer |
title_short | Plasma extracellular vesicle-packaged microRNAs as candidate diagnostic biomarkers for early-stage breast cancer |
title_sort | plasma extracellular vesicle-packaged micrornas as candidate diagnostic biomarkers for early-stage breast cancer |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797958/ https://www.ncbi.nlm.nih.gov/pubmed/31545424 http://dx.doi.org/10.3892/mmr.2019.10669 |
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