Mathematical modeling in cancer nanomedicine: a review

Dogra, Prashant; Butner, Joseph D.; Chuang, Yao-li; Caserta, Sergio; Goel, Shreya; Brinker, C. Jeffrey; Cristini, Vittorio; Wang, Zhihui

doi:10.1007/s10544-019-0380-2

Title: Mathematical modeling in cancer nanomedicine: a review

Journal Article · Thu Apr 04 00:00:00 EDT 2019 · Biomedical Microdevices

DOI:https://doi.org/10.1007/s10544-019-0380-2· OSTI ID:1623615

Dogra, Prashant ^[1]; Butner, Joseph D. ^[1]; Chuang, Yao-li ^[2]; Caserta, Sergio ^[3]; Goel, Shreya ^[1]; Brinker, C. Jeffrey ^[4]; Cristini, Vittorio ^[5]; Wang, Zhihui ^[5]

The Houston Methodist Research Inst., Houston, TX (United States)
California State Univ. (CalState), Northridge, CA (United States)
Univ. of Naples Federico II (Italy)
Univ. of New Mexico, Albuquerque, NM (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
The Houston Methodist Research Inst., Houston, TX (United States); Univ. of Texas, Houston, TX (United States)

Cancer continues to be among the leading healthcare problems worldwide, and efforts continue not just to find better drugs, but also better drug delivery methods. The need for delivering cytotoxic agents selectively to cancerous cells, for improved safety and efficacy, has triggered the application of nanotechnology in medicine. This effort has provided drug delivery systems that can potentially revolutionize cancer treatment. Nanocarriers, due to their capacity for targeted drug delivery, can shift the balance of cytotoxicity from healthy to cancerous cells. The field of cancer nanomedicine has made significant progress, but challenges remain that impede its clinical translation. Several biophysical barriers to the transport of nanocarriers to the tumor exist, and a much deeper understanding of nano-bio interactions is necessary to change the status quo. Mathematical modeling has been instrumental in improving our understanding of the physicochemical and physiological underpinnings of nanomaterial behavior in biological systems. Here, we present a comprehensive review of literature on mathematical modeling works that have been and are being employed towards a better understanding of nano-bio interactions for improved tumor delivery efficacy.

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Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF); National Institutes of Health (NIH); University of Texas; USDOE Laboratory Directed Research and Development (LDRD) Program

Grant/Contract Number:: NA0003525; DMS-1716737; 1U01CA196403; 1U01CA213759; 1R01CA226537; 1R01CA222007; U54CA210181

OSTI ID:: 1623615

Journal Information:: Biomedical Microdevices, Vol. 21, Issue 2; ISSN 1387-2176

Publisher:: Springer NatureCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 74 works

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Dynamic density functional theory of protein adsorption on polymer-coated nanoparticles Angioletti-Uberti, Stefano; Ballauff, Matthias; Dzubiella, Joachim Soft Matter, Vol. 10, Issue 40 https://doi.org/10.1039/C4SM01170H	journal	January 2014
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