Back to Search
Start Over
Protein analysis of extracellular vesicles to monitor and predict therapeutic response in metastatic breast cancer
- Source :
- Nature Communications, Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
- Publication Year :
- 2021
- Publisher :
- Nature Publishing Group UK, 2021.
-
Abstract
- 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.<br />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.
- Subjects :
- 0301 basic medicine
Platelet Membrane Glycoprotein IIb
Science
General Physics and Astronomy
Breast Neoplasms
Extracellular vesicles
General Biochemistry, Genetics and Molecular Biology
Article
03 medical and health sciences
Extracellular Vesicles
0302 clinical medicine
Text mining
Breast cancer
Cell Line, Tumor
Extracellular
Biomarkers, Tumor
Medicine
Humans
Progression-free survival
Prospective Studies
Prospective cohort study
skin and connective tissue diseases
Survival rate
Sensors and probes
Multidisciplinary
business.industry
Tetraspanin 30
Diagnostic markers
General Chemistry
medicine.disease
Metastatic breast cancer
Survival Rate
030104 developmental biology
030220 oncology & carcinogenesis
Cancer research
Female
business
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Nature Communications
- Accession number :
- edsair.doi.dedup.....2d28e6fff0e004737772b46f81887975