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Multi‐miRNA panel of tumor‐derived extracellular vesicles as promising diagnostic biomarkers of early‐stage breast cancer
Extracellular vesicles (EV) have been emerging as potential biomarkers for disease monitoring. In particular, tumor‐derived EV (TDE) are known to carry oncogenic miRNA, so they can be used for diagnosis of early cancer by analyzing the expression levels of EV‐miRNA circulating in the blood. Here, us...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645748/ https://www.ncbi.nlm.nih.gov/pubmed/34626053 http://dx.doi.org/10.1111/cas.15155 |
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author | Kim, Min Woo Park, Sunyoung Lee, Hyojung Gwak, Hogyeong Hyun, Kyung‐A Kim, Jee Ye Jung, Hyo‐Il Il Kim, Seung |
author_facet | Kim, Min Woo Park, Sunyoung Lee, Hyojung Gwak, Hogyeong Hyun, Kyung‐A Kim, Jee Ye Jung, Hyo‐Il Il Kim, Seung |
author_sort | Kim, Min Woo |
collection | PubMed |
description | Extracellular vesicles (EV) have been emerging as potential biomarkers for disease monitoring. In particular, tumor‐derived EV (TDE) are known to carry oncogenic miRNA, so they can be used for diagnosis of early cancer by analyzing the expression levels of EV‐miRNA circulating in the blood. Here, using our novel microfluidic device, we rapidly and selectively isolate cancerous EV expressing breast cancer‐derived surface markers CD49f and EpCAM within 2 minutes. Based on seven candidates of miRNA nominated from The Cancer Genome Atlas (TCGA) database, the expression levels of miRNA in TDE were validated in a total of 82 individuals, including 62 breast cancer patients and 20 healthy controls. Among seven candidates, four miRNAs (miR‐9, miR‐16, miR‐21, and miR‐429) from the EV were highly elevated in early‐stage breast cancer patients compared with healthy donors. The combination of significant miRNAs from specific EV has high sensitivities of 0.90, 0.86, 0.88, and 0.84 of the area under the receiver operating characteristic curve (AUC) in each subtype (luminal A, luminal B, HER‐2, and triple‐negative) of early‐stage breast cancer. Our results suggest that the combination of four miRNA signatures of specific EV could serve as a sensitive and specific biomarker and enable early diagnosis of breast cancer using liquid biopsy. |
format | Online Article Text |
id | pubmed-8645748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86457482021-12-17 Multi‐miRNA panel of tumor‐derived extracellular vesicles as promising diagnostic biomarkers of early‐stage breast cancer Kim, Min Woo Park, Sunyoung Lee, Hyojung Gwak, Hogyeong Hyun, Kyung‐A Kim, Jee Ye Jung, Hyo‐Il Il Kim, Seung Cancer Sci Original Articles Extracellular vesicles (EV) have been emerging as potential biomarkers for disease monitoring. In particular, tumor‐derived EV (TDE) are known to carry oncogenic miRNA, so they can be used for diagnosis of early cancer by analyzing the expression levels of EV‐miRNA circulating in the blood. Here, using our novel microfluidic device, we rapidly and selectively isolate cancerous EV expressing breast cancer‐derived surface markers CD49f and EpCAM within 2 minutes. Based on seven candidates of miRNA nominated from The Cancer Genome Atlas (TCGA) database, the expression levels of miRNA in TDE were validated in a total of 82 individuals, including 62 breast cancer patients and 20 healthy controls. Among seven candidates, four miRNAs (miR‐9, miR‐16, miR‐21, and miR‐429) from the EV were highly elevated in early‐stage breast cancer patients compared with healthy donors. The combination of significant miRNAs from specific EV has high sensitivities of 0.90, 0.86, 0.88, and 0.84 of the area under the receiver operating characteristic curve (AUC) in each subtype (luminal A, luminal B, HER‐2, and triple‐negative) of early‐stage breast cancer. Our results suggest that the combination of four miRNA signatures of specific EV could serve as a sensitive and specific biomarker and enable early diagnosis of breast cancer using liquid biopsy. John Wiley and Sons Inc. 2021-10-27 2021-12 /pmc/articles/PMC8645748/ /pubmed/34626053 http://dx.doi.org/10.1111/cas.15155 Text en © 2021 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Kim, Min Woo Park, Sunyoung Lee, Hyojung Gwak, Hogyeong Hyun, Kyung‐A Kim, Jee Ye Jung, Hyo‐Il Il Kim, Seung Multi‐miRNA panel of tumor‐derived extracellular vesicles as promising diagnostic biomarkers of early‐stage breast cancer |
title | Multi‐miRNA panel of tumor‐derived extracellular vesicles as promising diagnostic biomarkers of early‐stage breast cancer |
title_full | Multi‐miRNA panel of tumor‐derived extracellular vesicles as promising diagnostic biomarkers of early‐stage breast cancer |
title_fullStr | Multi‐miRNA panel of tumor‐derived extracellular vesicles as promising diagnostic biomarkers of early‐stage breast cancer |
title_full_unstemmed | Multi‐miRNA panel of tumor‐derived extracellular vesicles as promising diagnostic biomarkers of early‐stage breast cancer |
title_short | Multi‐miRNA panel of tumor‐derived extracellular vesicles as promising diagnostic biomarkers of early‐stage breast cancer |
title_sort | multi‐mirna panel of tumor‐derived extracellular vesicles as promising diagnostic biomarkers of early‐stage breast cancer |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645748/ https://www.ncbi.nlm.nih.gov/pubmed/34626053 http://dx.doi.org/10.1111/cas.15155 |
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