Journal article
Tracking extracellular vesicle phenotypic changes enables treatment monitoring in melanoma
Jing Wang, Alain Wuethrich, Abu Ali Ibn Sina, Rebecca E Lane, Lynlee L Lin, Yuling Wang, Jonathan Cebon, Andreas Behren, Matt Trau
Science Advances | AMER ASSOC ADVANCEMENT SCIENCE | Published : 2020
Abstract
Monitoring targeted therapy in real time for cancer patients could provide vital information about the development of drug resistance and improve therapeutic outcomes. Extracellular vesicles (EVs) have recently emerged as a promising cancer biomarker, and EV phenotyping shows high potential for monitoring treatment responses. Here, we demonstrate the feasibility of monitoring patient treatment responses based on the plasma EV phenotypic evolution using a multiplex EV phenotype analyzer chip (EPAC). EPAC incorporates the nanomixing-enhanced microchip and the multiplex surface-enhanced Raman scattering (SERS) nanotag system for direct EV phenotyping without EV enrichment. In a preclinical mode..
View full abstractGrants
Awarded by National Breast Cancer Foundation of Australia
Awarded by Australian Research Council
Awarded by Swiss National Science Foundation
Awarded by UQ Development Fellowships
Awarded by NHMRC Peter Doherty Biomedical Fellowship
Awarded by Department of Health and Human Services through the Victorian Cancer Agency (VCA)
Funding Acknowledgements
We acknowledge funding from the National Breast Cancer Foundation of Australia (CG-12-07) and the Australian Research Council (DP160102836) to M.T. and Y.W. A.W. is supported by the Swiss National Science Foundation (P2SKP2_168309) and the UQ Development Fellowships (UQFEL1831057). L.L.L. is supported by the NHMRC Peter Doherty Biomedical Fellowship (APP1111216). A.B. is supported by a fellowship (MCRF17019) from the Department of Health and Human Services acting through the Victorian Cancer Agency (VCA). J.W. and R.E.L. acknowledge support from the Australian Government Research Training Program Scholarships.