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 anti-cancer medicines in a personalized manner. We carry out the diagnostic stage through a multi-drug screen performed inside the tumor, extracting drug activity information with single cell sensitivity. By using 100-nm liposomes, loaded with various cancer drugs and corresponding synthetic DNA barcodes, we found a correlation between the cell viability and the drug it was exposed to, according to the matching barcodes. Based on this screen, we devised a treatment protocol for mice bearing triple-negative breast-cancer tumors, and its results confirm the diagnostic prediction. Interestinly, we found that differernt We show that the use of nanotechnology in cancer care is effective for generating personalized treatment protocols.<br/>Furthermore, different cell types in the tumor microenvironment responded differently to medication, each susceptible to different types and doses of the medicine. Metastasis, responded to medication depending on their biological site, but, in general, were more resistant to treatment compared to the primary tumor cells.<br/><br/>

Theranostic carcoded nanoparticles personalize cancer medicine by predicting the drug response in the primary tumor microenvironment and in brain metastasis

2019 Fall National Meeting

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