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Traceable Multifunctional Micellar Nanocarriers for Cancer-Targeted Co-delivery of MDR-1 siRNA and Doxorubicin
Abstract
In this article we report on the development of polymeric micelles that can integrate multiple functions in one system, including the capability to accommodate a combination of therapeutic entities with different physicochemical properties (i.e., siRNA and doxorubicin; DOX), passive and active cancer targeting, cell membrane translocation, and pH-triggered drug release. A micellar system was constructed from degradable poly(ethylene oxide)-block-poly(ε-caprolactone) (PEO-b-PCL) block copolymers with functional groups on both blocks. The functional group on the PCL block was used to incorporate short polyamines for complexation with siRNA or to chemically conjugate DOX via a pH-sensitive hydrazone linkage. A virus mimetic shell was conferred by attaching two ligands, i.e., the integrin αvβ3-specific ligand (RGD4C) for active cancer targeting and the cell-penetrating peptide TAT for membrane activity. This system was used to improve the efficacy of DOX in multidrug-resistant MDA-MB-435 human tumor models that overexpress P-glycoprotein (P-gp), by simultaneous intracellular delivery of DOX and siRNA against P-gp expression. The carrier was tagged with near-infrared fluorescent imaging probes to provide a means to follow the fate of the system in vivo upon intravenous administration. Dy677-labeled siRNA was also used to assess the in vivo stability of the siRNA carrier. This multifunctional polymeric micellar system was shown to be capable of DOX and siRNA delivery to their intracellular targets, leading to the inhibition of P-gp-mediated DOX resistance in vitro and targeting of αvβ3-positive tumors in vivo.
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Cites
Tumor vascular permeability and the EPR effect in macromolecular therapeutics: a review
Maeda, H., Wu, J., Sawa, T., Matsumura, Y., & Hori, K. (2000) · Journal of Controlled Release · doi:10.1016/s0168-3659(99)00248-5 · Cited by 6,565
Drug Delivery Systems: Entering the Mainstream
Allen, T. M., & Cullis, P. R. (2004) · Science · doi:10.1126/science.1095833 · Cited by 4,552
Nanoparticle and targeted systems for cancer therapy
Brannon-Peppas, L., & Blanchette, J. O. (2004) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2004.02.014 · Cited by 2,334
(2016) · CRC Press eBooks · doi:10.1201/b12801 · Cited by 2,031
Exploiting the enhanced permeability and retention effect for tumor targeting
Iyer, A. K., Khaled, G., Fang, J., & Maeda, H. (2006) · Drug Discovery Today · doi:10.1016/j.drudis.2006.07.005 · Cited by 1,846
Multifunctional polymeric micelles as cancer-targeted, MRI-ultrasensitive drug delivery systems
Nasongkla, N., Bey, E., Ren, J., Ai, H., Khemtong, C., Guthi, J. S., Chin, S.-F., Sherry, A. D., Boothman, D. A., & Gao, J. (2006) · Nano Letters · doi:10.1021/nl061412u · Cited by 1,238
Ueda, K., Cardarelli, C., Gottesman, M. M., & Pastan, I. (1987) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.84.9.3004 · Cited by 1,063
Meng, H., Liong, M., Xia, T., Li, Z., Ji, Z., Zink, J. I., & Nel, A. E. (2010) · ACS Nano · doi:10.1021/nn100690m · Cited by 902
Amplification of P-glycoprotein genes in multidrug-resistant mammalian cell lines
Riordan, J. R., Deuchars, K., Kartner, N., Alon, N., Trent, J., & Ling, V. (1985) · Nature · doi:10.1038/316817a0 · Cited by 826
In vivo imaging of siRNA delivery and silencing in tumors
Medarova, Z., Pham, W., Farrar, C., Petkova, V., & Moore, A. (2007) · Nature Medicine · doi:10.1038/nm1486 · Cited by 697
Chen, A. M., Zhang, M., Wei, D., Stueber, D., Taratula, O., Minko, T., & He, H. (2009) · Small · doi:10.1002/smll.200900621 · Cited by 671
Wang, Y., Gao, S., Ye, W.-H., Yoon, H. S., & Yang, Y.-Y. (2006) · Nature Materials · doi:10.1038/nmat1737 · Cited by 658
Zhu, C., Jung, S., Luo, S., Meng, F., Zhu, X., Park, T. G., & Zhong, Z. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2009.11.077 · Cited by 440
Wong, H. L., Bendayan, R., Rauth, A. M., Xue, H. Y., Babakhanian, K., & Wu, X. Y. (2006) · The Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.106.101154 · Cited by 344
Patil, Y. B., Swaminathan, S. K., Sadhukha, T., Ma, L., & Panyam, J. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2009.09.048 · Cited by 304
Wu, H., Hait, W. N., & Yang, J. (2003) · PubMed · Cited by 289
Development of inhibitors of ATP-binding cassette drug transporters – present status and challenges
Shukla, S., Wu, C.-P., & Ambudkar, S. V. (2008) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1517/17425255.4.2.205 · Cited by 253
Chen, Y., Bathula, S. R., Li, J., & Huang, L. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.125906 · Cited by 216
Clinical trials of p-glycoprotein reversal in solid tumours
Ferry, D. R., Traunecker, H., & Kerr, D. J. (1996) · European Journal of Cancer · doi:10.1016/0959-8049(96)00091-3 · Cited by 214
Oba, M., Fukushima, S., Kanayama, N., Aoyagi, K., Nishiyama, N., Koyama, H., & Kataoka, K. (2007) · Bioconjugate Chemistry · doi:10.1021/bc0700133 · Cited by 197
MRI-Visible Micellar Nanomedicine for Targeted Drug Delivery to Lung Cancer Cells
Guthi, J. S., Yang, S.-G., Huang, G., Li, S., Khemtong, C., Kessinger, C. W., Peyton, M., Minna, J. D., Brown, K. C., & Gao, J. (2010) · Molecular Pharmaceutics · doi:10.1021/mp9001393 · Cited by 197
Xiong, X.-B., Ma, Z., Lai, R., & Lavasanifar, A. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2009.09.080 · Cited by 193
Self-citationLima, R. T., Martins, L. M., Guimarães, J. E., Sambade, C., & Vasconcelos, M. H. (2004) · Cancer Gene Therapy · doi:10.1038/sj.cgt.7700706 · Cited by 179
Xiong, X.-B., Uludağ, H., & Lavasanifar, A. (2009) · Biomaterials · doi:10.1016/j.biomaterials.2008.09.025 · Cited by 168
Self-citationXiong, X.-B., Mahmud, A., Uludağ, H., & Lavasanifar, A. (2008) · Pharmaceutical Research · doi:10.1007/s11095-008-9673-5 · Cited by 110
Self-citationMDA435/LCC6 and MDA435/LCC6MDR1: ascites models of human breast cancer
Leonessa, F., Green, D., Licht, T., Wright, A., Wingate-Legette, K., Lippman, J., Gottesman, M., & Clarke, R. (1996) · British Journal of Cancer · doi:10.1038/bjc.1996.29 · Cited by 102
Virus-mimetic polymeric micelles for targeted siRNA delivery
Xiong, X.-B., Uludağ, H., & Lavasanifar, A. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2010.03.075 · Cited by 102
Self-citationHong, G., Yuan, R., Liang, B., Shen, J., Yang, X., & Shuai, X. (2008) · Biomedical Microdevices · doi:10.1007/s10544-008-9180-9 · Cited by 93
MDR1/P-Glycoprotein (ABCB1) as Target for RNA Interference-Mediated Reversal of Multidrug Resistance
Lage, H. (2006) · Current Drug Targets · doi:10.2174/138945006777709566 · Cited by 78
Development of a bifunctional immunoliposome system for combined drug delivery and imaging in vivo
Feng, B., Tomizawa, K., Michiue, H., Han, X.-J., Miyatake, S., & Matsui, H. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2010.01.086 · Cited by 39
Stierlé, V., Laigle, A., & Jollès, B. (2005) · Biochemical Pharmacology · doi:10.1016/j.bcp.2005.08.007 · Cited by 32
Liu, W.-L., Green, N. K., Seymour, L. W., & Stevenson, M. (2009) · Cancer Gene Therapy · doi:10.1038/cgt.2009.24 · Cited by 22
Cited by
Principles of nanoparticle design for overcoming biological barriers to drug delivery
Blanco, E., Shen, H., & Ferrari, M. (2015) · Nature Biotechnology · doi:10.1038/nbt.3330 · Cited by 7,002
Mesoporous silica nanoparticles in biomedical applications
Li, Z., Barnes, J. C., Bosoy, A., Stoddart, J. F., & Zink, J. I. (2012) · Chemical Society Reviews · doi:10.1039/c1cs15246g · Cited by 1,907
Nicolas, J., Mura, S., Brambilla, D., Mackiewicz, N., & Couvreur, P. (2013) · Chem. Soc. Rev. · doi:10.1039/c2cs35265f · Cited by 1,270
He, C., Lu, K., Liu, D., & Lin, W. (2014) · Journal of the American Chemical Society · doi:10.1021/ja4098862 · Cited by 885
Recent advances of cocktail chemotherapy by combination drug delivery systems
Hu, Q., Sun, W., Wang, C., & Gu, Z. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.10.022 · Cited by 625
Metadata
- Authors
- Xiong, X.-B., & Lavasanifar, A.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-06-10
- Volume
- 5
- Issue
- 6
- Pages
- 5202-5213
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2029983315
- Cited by
- 411
- References
- 32
- FWCI
- 17.16
- Type
- journal article
- Language
- en
- Open access
- closed
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