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

作者：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 · 发表于：Nature Communications · 年份：2021 · DOI：10.1038/s41467-021-22913-7 · 被引用次数：288 · 研究领域：Extracellular vesicles in disease、Nanoplatforms for cancer theranostics、Advanced biosensing and bioanalysis techniques

Molecular profiling of circulating extracellular vesicles (EVs) provides a promising noninvasive means to diagnose, monitor, and predict the course of metastatic breast cancer (MBC). However, the analysis of EV protein markers has been confounded by the presence of soluble protein counterparts in peripheral blood. Here we use a rapid, sensitive, and low-cost thermophoretic aptasensor (TAS) to profile cancer-associated protein profiles of plasma EVs without the interference of soluble proteins. We show that the EV signature (a weighted sum of eight EV protein markers) has a high accuracy (91.1 %) for discrimination of MBC, non-metastatic breast cancer (NMBC), and healthy donors (HD). For MBC patients undergoing therapies, the EV signature can accurately monitor the treatment response across the training, validation, and prospective cohorts, and serve as an independent prognostic factor for progression free survival in MBC patients. Together, this work highlights the potential clinical utility of EVs in management of MBC.