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Cited by 305

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Delivering safer immunotherapies for cancer

Open access
Milling, Lauren, Zhang, Yuan, Irvine, Darrell J.·2017·Advanced Drug Delivery Reviews

Abstract

Cancer immunotherapy is now a powerful clinical reality, with a steady progression of new drug approvals and a massive pipeline of additional treatments in clinical and preclinical development. However, modulation of the immune system can be a double-edged sword: Drugs that activate immune effectors are prone to serious non-specific systemic inflammation and autoimmune side effects. Drug delivery technologies have an important role to play in harnessing the power of immune therapeutics while avoiding on-target/off-tumor toxicities. Here we review mechanisms of toxicity for clinically-relevant immunotherapeutics, and discuss approaches based in drug delivery technology to enhance the safety and potency of these treatments. These include strategies to merge drug delivery with adoptive cellular therapies, targeting immunotherapies to tumors or select immune cells, and localizing therapeutics intratumorally. Rational design employing lessons learned from the drug delivery and nanomedicine fields has the potential to facilitate immunotherapy reaching its full potential.

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Metadata

Authors
Milling, L., Zhang, Y., & Irvine, D. J.
Venue
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Published
2017-05
Volume
114
Pages
79-101
ISSN
0169-409X (ISSN-L)
OpenAlex
W2617871758
Cited by
305
References
33
FWCI
2.97
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Delivering safer immunotherapies for cancer. https://app.cochat.ai/papers/10.1016/j.addr.2017.05.011
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Milling, L., Zhang, Y., & Irvine, D. J. (2017). Delivering safer immunotherapies for cancer. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2017.05.011

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.