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Cancer Cell Coating Nanoparticles for Optimal Tumor-Specific Cytokine Delivery

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sword-2021-06-10T15:28:28.original.xml (130 B)
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Author(s)
Barberio, Antonio E
•
Smith, Sean G
•
Correa, Santiago
•
Nguyen, Cathy
•
Nhan, Bang
•
Melo, Mariane
•
Tokatlian, Talar
•
Suh, Heikyung
•
Irvine, Darrell J
•
Hammond, Paula T
Date Issued
July 2020
Journal
ACS Nano
Publisher
American Chemical Society (ACS)
Citation
Barberio, Antonio E, Smith, Sean G, Correa, Santiago, Nguyen, Cathy, Nhan, Bang et al. 2020. "Cancer Cell Coating Nanoparticles for Optimal Tumor-Specific Cytokine Delivery." ACS Nano, 14 (9).
Version
Author's final manuscript
Abstract
© 2020 American Chemical Society. Although cytokine therapy is an attractive strategy to build a more robust immune response in tumors, cytokines have faced clinical failures due to toxicity. In particular, interleukin-12 has shown great clinical promise but was limited in translation because of systemic toxicity. In this study, we demonstrate an enhanced ability to reduce toxicity without affecting the efficacy of IL-12 therapy. We engineer the material properties of a NP to meet the enhanced demands for optimal cytokine delivery by using the layer-by-layer (LbL) approach. Importantly, using LbL, we demonstrate cell-level trafficking of NPs to preferentially localize to the cell's outer surface and act as a drug depot, which is required for optimal payload activity on neighboring cytokine membrane receptors. LbL-NPs showed efficacy against a tumor challenge in both colorectal and ovarian tumors at doses that were not tolerated when administered carrier-free.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Koch Institute for Integrative Cancer Research at MIT
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Ragon Institute of MGH, MIT and Harvard
Massachusetts Institute of Technology. Institute for Soldier Nanotechnologies
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/133094.2
DOI of Published Version
https://doi.org/10.1021/ACSNANO.0C03109
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