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Isolation and Detection Technologies of Extracellular Vesicles and Application on Cancer Diagnostic

The vast majority of cancers are treatable when diagnosed early. However, due to the elusive trace and the limitation of traditional biopsies, most cancers have already spread widely and are at advanced stages when they are first diagnosed, causing ever-increasing mortality in the past decades. Henc...

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Autores principales: Ma, Chunyan, Jiang, Fan, Ma, Yifan, Wang, Jinqiao, Li, Hongjuan, Zhang, Jingjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902397/
https://www.ncbi.nlm.nih.gov/pubmed/31839757
http://dx.doi.org/10.1177/1559325819891004
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author Ma, Chunyan
Jiang, Fan
Ma, Yifan
Wang, Jinqiao
Li, Hongjuan
Zhang, Jingjing
author_facet Ma, Chunyan
Jiang, Fan
Ma, Yifan
Wang, Jinqiao
Li, Hongjuan
Zhang, Jingjing
author_sort Ma, Chunyan
collection PubMed
description The vast majority of cancers are treatable when diagnosed early. However, due to the elusive trace and the limitation of traditional biopsies, most cancers have already spread widely and are at advanced stages when they are first diagnosed, causing ever-increasing mortality in the past decades. Hence, developing reliable methods for early detection and diagnosis of cancer is indispensable. Recently, extracellular vesicles (EVs), as circulating phospholipid vesicles secreted by cells, are found to play significant roles in the intercellular communication as well as the setup of tumor microenvironments and have been identified as one of the key factors in the next-generation technique for cancer diagnosis. However, EVs present in complex biofluids that contain various contaminations such as nonvesicle proteins and nonspecific EVs, resulting in the interference of screening for desired biomarkers. Therefore, applicable isolation and enrichment methods that guarantee scale-up of sample volume, purity, speed, yield, and tumor specificity are necessary. In this review, we introduce current technologies for EV separation and summarize biomarkers toward EV-based cancer liquid biopsy. In conclusion, a novel systematic isolation method that guarantees high purity, recovery rate, and tumor specificity is still missing. Besides that, a dual-model EV-based clinical trial system includes isolation and detection is a hot trend in the future due to efficient point-of-care needs. In addition, cancer-related biomarkers discovery and biomarker database establishment are essential objectives in the research field for diagnostic settings.
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spelling pubmed-69023972019-12-13 Isolation and Detection Technologies of Extracellular Vesicles and Application on Cancer Diagnostic Ma, Chunyan Jiang, Fan Ma, Yifan Wang, Jinqiao Li, Hongjuan Zhang, Jingjing Dose Response Nanotechnology and Microtechnology in Drug Delivery Systems The vast majority of cancers are treatable when diagnosed early. However, due to the elusive trace and the limitation of traditional biopsies, most cancers have already spread widely and are at advanced stages when they are first diagnosed, causing ever-increasing mortality in the past decades. Hence, developing reliable methods for early detection and diagnosis of cancer is indispensable. Recently, extracellular vesicles (EVs), as circulating phospholipid vesicles secreted by cells, are found to play significant roles in the intercellular communication as well as the setup of tumor microenvironments and have been identified as one of the key factors in the next-generation technique for cancer diagnosis. However, EVs present in complex biofluids that contain various contaminations such as nonvesicle proteins and nonspecific EVs, resulting in the interference of screening for desired biomarkers. Therefore, applicable isolation and enrichment methods that guarantee scale-up of sample volume, purity, speed, yield, and tumor specificity are necessary. In this review, we introduce current technologies for EV separation and summarize biomarkers toward EV-based cancer liquid biopsy. In conclusion, a novel systematic isolation method that guarantees high purity, recovery rate, and tumor specificity is still missing. Besides that, a dual-model EV-based clinical trial system includes isolation and detection is a hot trend in the future due to efficient point-of-care needs. In addition, cancer-related biomarkers discovery and biomarker database establishment are essential objectives in the research field for diagnostic settings. SAGE Publications 2019-12-09 /pmc/articles/PMC6902397/ /pubmed/31839757 http://dx.doi.org/10.1177/1559325819891004 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Nanotechnology and Microtechnology in Drug Delivery Systems
Ma, Chunyan
Jiang, Fan
Ma, Yifan
Wang, Jinqiao
Li, Hongjuan
Zhang, Jingjing
Isolation and Detection Technologies of Extracellular Vesicles and Application on Cancer Diagnostic
title Isolation and Detection Technologies of Extracellular Vesicles and Application on Cancer Diagnostic
title_full Isolation and Detection Technologies of Extracellular Vesicles and Application on Cancer Diagnostic
title_fullStr Isolation and Detection Technologies of Extracellular Vesicles and Application on Cancer Diagnostic
title_full_unstemmed Isolation and Detection Technologies of Extracellular Vesicles and Application on Cancer Diagnostic
title_short Isolation and Detection Technologies of Extracellular Vesicles and Application on Cancer Diagnostic
title_sort isolation and detection technologies of extracellular vesicles and application on cancer diagnostic
topic Nanotechnology and Microtechnology in Drug Delivery Systems
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902397/
https://www.ncbi.nlm.nih.gov/pubmed/31839757
http://dx.doi.org/10.1177/1559325819891004
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