Protein analysis of extracellular vesicles to monitor and predict therapeutic response in metastatic breast cancer

A thermophoretic aptasensor can be used to profile cancer-associated proteins of extracellular vesicles (EVs) in patients’ plasma. Here, the authors use this technique to develop an EV-signature able to discriminate metastatic breast cancer, monitor treatment response, and predict patients’ progress...

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Autores principales: Fei Tian, Shaohua Zhang, Chao Liu, Ziwei Han, Yuan Liu, Jinqi Deng, Yike Li, Xia Wu, Lili Cai, Lili Qin, Qinghua Chen, Yang Yuan, Yi Liu, Yulong Cong, Baoquan Ding, Zefei Jiang, Jiashu Sun
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/ad4f67eb76a945bbab6cae162e3f55be
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spelling oai:doaj.org-article:ad4f67eb76a945bbab6cae162e3f55be2021-12-02T14:29:13ZProtein analysis of extracellular vesicles to monitor and predict therapeutic response in metastatic breast cancer10.1038/s41467-021-22913-72041-1723https://doaj.org/article/ad4f67eb76a945bbab6cae162e3f55be2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22913-7https://doaj.org/toc/2041-1723A thermophoretic aptasensor can be used to profile cancer-associated proteins of extracellular vesicles (EVs) in patients’ plasma. Here, the authors use this technique to develop an EV-signature able to discriminate metastatic breast cancer, monitor treatment response, and predict patients’ progression-free survival.Fei TianShaohua ZhangChao LiuZiwei HanYuan LiuJinqi DengYike LiXia WuLili CaiLili QinQinghua ChenYang YuanYi LiuYulong CongBaoquan DingZefei JiangJiashu SunNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Fei Tian
Shaohua Zhang
Chao Liu
Ziwei Han
Yuan Liu
Jinqi Deng
Yike Li
Xia Wu
Lili Cai
Lili Qin
Qinghua Chen
Yang Yuan
Yi Liu
Yulong Cong
Baoquan Ding
Zefei Jiang
Jiashu Sun
Protein analysis of extracellular vesicles to monitor and predict therapeutic response in metastatic breast cancer
description A thermophoretic aptasensor can be used to profile cancer-associated proteins of extracellular vesicles (EVs) in patients’ plasma. Here, the authors use this technique to develop an EV-signature able to discriminate metastatic breast cancer, monitor treatment response, and predict patients’ progression-free survival.
format article
author Fei Tian
Shaohua Zhang
Chao Liu
Ziwei Han
Yuan Liu
Jinqi Deng
Yike Li
Xia Wu
Lili Cai
Lili Qin
Qinghua Chen
Yang Yuan
Yi Liu
Yulong Cong
Baoquan Ding
Zefei Jiang
Jiashu Sun
author_facet Fei Tian
Shaohua Zhang
Chao Liu
Ziwei Han
Yuan Liu
Jinqi Deng
Yike Li
Xia Wu
Lili Cai
Lili Qin
Qinghua Chen
Yang Yuan
Yi Liu
Yulong Cong
Baoquan Ding
Zefei Jiang
Jiashu Sun
author_sort Fei Tian
title Protein analysis of extracellular vesicles to monitor and predict therapeutic response in metastatic breast cancer
title_short Protein analysis of extracellular vesicles to monitor and predict therapeutic response in metastatic breast cancer
title_full Protein analysis of extracellular vesicles to monitor and predict therapeutic response in metastatic breast cancer
title_fullStr Protein analysis of extracellular vesicles to monitor and predict therapeutic response in metastatic breast cancer
title_full_unstemmed Protein analysis of extracellular vesicles to monitor and predict therapeutic response in metastatic breast cancer
title_sort protein analysis of extracellular vesicles to monitor and predict therapeutic response in metastatic breast cancer
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/ad4f67eb76a945bbab6cae162e3f55be
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