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Detection of phosphatidylserine-positive exosomes for the diagnosis of early-stage malignancies

BACKGROUND: There has been increasing interest in the detection of tumour exosomes in blood for cancer diagnostics. Most studies have focussed on miRNA and protein signatures that are surrogate markers for specific tumour types. Because tumour cells and tumour-derived exosomes display phosphatidylse...

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Autores principales: Sharma, Raghava, Huang, Xianming, Brekken, Rolf A, Schroit, Alan J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5558679/
https://www.ncbi.nlm.nih.gov/pubmed/28641308
http://dx.doi.org/10.1038/bjc.2017.183
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author Sharma, Raghava
Huang, Xianming
Brekken, Rolf A
Schroit, Alan J
author_facet Sharma, Raghava
Huang, Xianming
Brekken, Rolf A
Schroit, Alan J
author_sort Sharma, Raghava
collection PubMed
description BACKGROUND: There has been increasing interest in the detection of tumour exosomes in blood for cancer diagnostics. Most studies have focussed on miRNA and protein signatures that are surrogate markers for specific tumour types. Because tumour cells and tumour-derived exosomes display phosphatidylserine (PS) in their outer membrane leaflet, we developed a highly sensitive ELISA-based system that detects picogram amounts of exosomal phospholipid in plasma as a cancer biomarker. METHODS: This report describes the development of a highly specific and sensitive ELISA for the capture of PS-expressing tumour exosomes in the blood of tumour-bearing mice. To monitor the relationship between tumour burden and tumour exosome plasma concentrations, plasma from one transplantable breast cancer model (MDA-MB-231) and three genetic mouse models (MMTV-PyMT; breast and KIC and KPC; pancreatic) were screened for captured exosomal phospholipid. RESULTS: We show that quantitative assessment of PS-expressing tumour exosomes detected very early-stage malignancies before clinical evidence of disease in all four model systems. Tumour exosome levels showed significant increases by day 7 after tumour implantation in the MDA-MB-231 model while palpable tumours appeared only after day 27. For the MMTV-PyMT and KIC models, tumour exosome levels increased significantly by day 49 (P⩽0.0002) and day 21 (P⩽0.001) while tumours developed only after days 60 and 40, respectively. For the KPC model, a significant increase in blood exosome levels was detected by day 70 (P=0.023) when only preinvasive lesions are microscopically detectable. CONCLUSIONS: These data indicate that blood PS exosome levels is a specific indicator of cancer and suggest that blood PS is a biomarker for early-stage malignancies.
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spelling pubmed-55586792018-08-08 Detection of phosphatidylserine-positive exosomes for the diagnosis of early-stage malignancies Sharma, Raghava Huang, Xianming Brekken, Rolf A Schroit, Alan J Br J Cancer Molecular Diagnostics BACKGROUND: There has been increasing interest in the detection of tumour exosomes in blood for cancer diagnostics. Most studies have focussed on miRNA and protein signatures that are surrogate markers for specific tumour types. Because tumour cells and tumour-derived exosomes display phosphatidylserine (PS) in their outer membrane leaflet, we developed a highly sensitive ELISA-based system that detects picogram amounts of exosomal phospholipid in plasma as a cancer biomarker. METHODS: This report describes the development of a highly specific and sensitive ELISA for the capture of PS-expressing tumour exosomes in the blood of tumour-bearing mice. To monitor the relationship between tumour burden and tumour exosome plasma concentrations, plasma from one transplantable breast cancer model (MDA-MB-231) and three genetic mouse models (MMTV-PyMT; breast and KIC and KPC; pancreatic) were screened for captured exosomal phospholipid. RESULTS: We show that quantitative assessment of PS-expressing tumour exosomes detected very early-stage malignancies before clinical evidence of disease in all four model systems. Tumour exosome levels showed significant increases by day 7 after tumour implantation in the MDA-MB-231 model while palpable tumours appeared only after day 27. For the MMTV-PyMT and KIC models, tumour exosome levels increased significantly by day 49 (P⩽0.0002) and day 21 (P⩽0.001) while tumours developed only after days 60 and 40, respectively. For the KPC model, a significant increase in blood exosome levels was detected by day 70 (P=0.023) when only preinvasive lesions are microscopically detectable. CONCLUSIONS: These data indicate that blood PS exosome levels is a specific indicator of cancer and suggest that blood PS is a biomarker for early-stage malignancies. Nature Publishing Group 2017-08-08 2017-06-22 /pmc/articles/PMC5558679/ /pubmed/28641308 http://dx.doi.org/10.1038/bjc.2017.183 Text en Copyright © 2017 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/4.0/ From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Molecular Diagnostics
Sharma, Raghava
Huang, Xianming
Brekken, Rolf A
Schroit, Alan J
Detection of phosphatidylserine-positive exosomes for the diagnosis of early-stage malignancies
title Detection of phosphatidylserine-positive exosomes for the diagnosis of early-stage malignancies
title_full Detection of phosphatidylserine-positive exosomes for the diagnosis of early-stage malignancies
title_fullStr Detection of phosphatidylserine-positive exosomes for the diagnosis of early-stage malignancies
title_full_unstemmed Detection of phosphatidylserine-positive exosomes for the diagnosis of early-stage malignancies
title_short Detection of phosphatidylserine-positive exosomes for the diagnosis of early-stage malignancies
title_sort detection of phosphatidylserine-positive exosomes for the diagnosis of early-stage malignancies
topic Molecular Diagnostics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5558679/
https://www.ncbi.nlm.nih.gov/pubmed/28641308
http://dx.doi.org/10.1038/bjc.2017.183
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