4.8 Article

Extracellular vesicle drug occupancy enables real-time monitoring of targeted cancer therapy

Journal

NATURE NANOTECHNOLOGY
Volume 16, Issue 6, Pages 734-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41565-021-00872-w

Keywords

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Funding

  1. National University of Singapore (NUS)
  2. NUS Research Scholarship
  3. Ministry of Education
  4. National Medical Research Council
  5. Institute for Health Innovation Technology
  6. IMCB Independent Fellowship
  7. NUS Early Career Research Award

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The platform developed in this study leverages circulating extracellular vesicles for activity-based assessment of tumour-specific drug-target interactions and can be used for clinical cancer treatment monitoring.
Current technologies to measure drug-target interactions require complex processing and invasive tissue biopsies, limiting their clinical utility for cancer treatment monitoring. Here we develop an analytical platform that leverages circulating extracellular vesicles (EVs) for activity-based assessment of tumour-specific drug-target interactions in patient blood samples. The technology, termed extracellular vesicle monitoring of small-molecule chemical occupancy and protein expression (ExoSCOPE), utilizes bio-orthogonal probe amplification and spatial patterning of molecular reactions within matched plasmonic nanoring resonators to achieve in situ analysis of EV drug dynamics. It measures changes in drug occupancy and protein composition in molecular subpopulations of EVs. When used to monitor various targeted therapies, the ExoSCOPE revealed EV signatures that closely reflected cellular treatment efficacy. We further applied the technology for clinical cancer diagnostics and treatment monitoring. Using a small volume of blood, the ExoSCOPE accurately classified disease status and rapidly distinguished between targeted treatment outcomes, within 24 h after treatment initiation. In this work, the authors develop a platform that leverages extracellular vesicles to measure drug-target engagement and apply it to monitor the outcomes of targeted treatments in lung cancer patients.

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