Understanding the Connection between Nanoparticle Uptake and Cancer Treatment Efficacy using Mathematical Modeling-Reference-Cited by-同舟云学术

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Understanding the Connection between Nanoparticle Uptake and Cancer Treatment Efficacy using Mathematical Modeling

Published:2018-05-24 Issue:1 Volume:8 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Brocato Terisse A.,Coker Eric N.,Durfee Paul N.,Lin Yu-Shen,Townson Jason,Wyckoff Edward F.,Cristini Vittorio,Brinker C. Jeffrey,Wang Zhihui

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-018-25878-8.pdf

Reference49 articles.

1. Siegel, R. L., Miller, K. D. & Jemal, A. Cancer statistics, 2015. CA: A Cancer Journal for Clinicians 65, 5–29, https://doi.org/10.3322/caac.21254 (2015).

2. Chakrabarti, A., Verbridge, S., Stroock, A., Fischbach, C. & Varner, J. Multiscale Models of Breast Cancer Progression. Ann Biomed Eng 40, 2488–2500, https://doi.org/10.1007/s10439-012-0655-8 (2012).

3. Tang, D. G. Understanding cancer stem cell heterogeneity and plasticity. Cell Res 22, 457–472 (2012).

4. Hanessian, S., Grzyb, J. A., Cengelli, F. & Juillerat-Jeanneret, L. Synthesis of chemically functionalized superparamagnetic nanoparticles as delivery vectors for chemotherapeutic drugs. Bioorganic & Medicinal Chemistry 16, 2921–2931, https://doi.org/10.1016/j.bmc.2007.12.051 (2008).

5. Durfee, P. N. et al. Mesoporous Silica Nanoparticle-Supported Lipid Bilayers (Protocells) for Active Targeting and Delivery to Individual Leukemia Cells. ACS Nano 10, 8325–8345, https://doi.org/10.1021/acsnano.6b02819 (2016).

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