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Cited by 255

The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.

Frontiers in cancer nanomedicine: directing mass transport through biological barriers

Open access
Ferrari, Mauro·2010·Trends in Biotechnology

Abstract

The physics of mass transport within body compartments and across biological barriers differentiates cancers from healthy tissues. Variants of nanoparticles can be manufactured in combinatorially large sets, varying only one transport-affecting design parameter at a time. Nanoparticles can also be used as building blocks for systems that perform sequences of coordinated actions, in accordance to a prescribed logic. These are referred to as Logic-Embedded Vectors “(LEV)” in the following. Nanoparticles and LEVs are ideal probes for the determination of mass transport laws in tumors, acting as imaging contrast enhancers, and can be employed for the lesion-selective delivery of therapy. Their size, shape, density and surface chemistry dominate convective transport in the blood stream, margination, cell adhesion, selective cellular uptake, as well as sub-cellular trafficking and localization. As argued here, the understanding of transport differentials in cancer, termed ‘transport oncophysics’ unveils a new promising frontier in oncology: the development of lesion-specific delivery particulates that exploit mass transport differentials to deploy treatment of greater efficacy and reduced side effects.

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Crossref · 10.1016/j.tibtech.2009.12.007

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Metadata

Authors
Ferrari, M.
Venue
Trends in Biotechnology
Publisher
Elsevier BV
Published
2010-04
Volume
28
Issue
4
Pages
181-188
ISSN
0167-7799 (ISSN-L)
OpenAlex
W2063751734
Cited by
255
References
98
FWCI
0.91
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Frontiers in cancer nanomedicine: directing mass transport through biological barriers. https://app.cochat.ai/papers/10.1016/j.tibtech.2009.12.007
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Ferrari, M. (2010). Frontiers in cancer nanomedicine: directing mass transport through biological barriers. Trends in Biotechnology. https://doi.org/10.1016/j.tibtech.2009.12.007

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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.