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Cited by 280

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Design considerations for nanotherapeutics in oncology

Open access
Stylianopoulos, Triantafyllos, Jain, Rakesh K.·2015·Nanomedicine: Nanotechnology, Biology and Medicine

Abstract

Nanotherapeutics have improved the quality of life of cancer patients, primarily by reducing the adverse effects of chemotherapeutic agents, but improvements in overall survival are modest. This is in large part due to the fact that the Enhanced Permeability and Retention effect, which is the basis for the use of nanoparticles in cancer, can be also a barrier to the delivery of nanomedicines. A careful design of nanoparticle formulations can overcome barriers posed by the tumor microenvironment and result in better treatments. In this review, we first discuss strengths and limitations of clinically-approved nanoparticles. Then, we evaluate design parameters that can be modulated to optimize intratumoral delivery. The benefits of active tumor targeting and drug release rate on intratumoral delivery and treatment efficacy are also discussed. Finally, we suggest specific design strategies that should optimize delivery to most solid tumors and discuss under what conditions active targeting would be beneficial.

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Crossref · 10.1016/j.nano.2015.07.015

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Metadata

Authors
Stylianopoulos, T., & Jain, R. K.
Venue
Nanomedicine: Nanotechnology, Biology and Medicine
Publisher
Elsevier BV
Published
2015-11
Volume
11
Issue
8
Pages
1893-1907
ISSN
1549-9634 (ISSN-L)
OpenAlex
W2102866212
Cited by
280
References
23
FWCI
10.92
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Design considerations for nanotherapeutics in oncology. https://app.cochat.ai/papers/10.1016/j.nano.2015.07.015
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Stylianopoulos, T., & Jain, R. K. (2015). Design considerations for nanotherapeutics in oncology. Nanomedicine: Nanotechnology, Biology and Medicine. https://doi.org/10.1016/j.nano.2015.07.015

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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.