Theranostic barcoded nanoparticles for personalized cancer medicine

Zvi Yaari, Dana Da Silva, Assaf Zinger, Evgeniya Goldman, Ashima Kajal, Rafi Tshuva, Efrat Barak, Nitsan Dahan, Dov Hershkovitz, Mor Goldfeder, Janna Shainsky Roitman, Avi Schroeder

Research output: Contribution to journalArticlepeer-review

83 Scopus citations

Abstract

Personalized medicine promises to revolutionize cancer therapy by matching the most effective treatment to the individual patient. Using a nanoparticle-based system, we predict the therapeutic potency of anticancer medicines in a personalized manner. We carry out the diagnostic stage through a multidrug screen performed inside the tumour, extracting drug activity information with single cell sensitivity. By using 100 nm liposomes, loaded with various cancer drugs and corresponding synthetic DNA barcodes, we find a correlation between the cell viability and the drug it was exposed to, according to the matching barcodes. Based on this screen, we devise a treatment protocol for mice bearing triple-negative breast-cancer tumours, and its results confirm the diagnostic prediction. We show that the use of nanotechnology in cancer care is effective for generating personalized treatment protocols.

Original languageEnglish (US)
Article number13325
JournalNature Communications
Volume7
DOIs
StatePublished - Nov 10 2016

ASJC Scopus subject areas

  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Physics and Astronomy(all)

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