The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Selective delivery of an anticancer drug with aptamer-functionalized liposomes to breast cancer cells in vitro and in vivo
Open accessAbstract
Selective targeting of cancer cells is a critical step in cancer diagnosis and therapy. To address this need, DNA aptamers have attracted significant attention as possible targeting ligands. However, while their use in targeting cancer cells in vitro has been reported, their effectiveness has rarely been established in vivo. Here we report the development of a liposomal drug delivery system for targeted anticancer chemotherapy. Liposomes were prepared containing doxorubicin as a payload, and functionalized with AS1411, a DNA aptamer with strong binding affinity for nucleolin. AS1411 aptamer-functionalized liposomes increased cellular internalization and cytotoxicity to MCF-7 breast cancer cells as compared to non-targeting liposomes. Furthermore, targeted liposomal doxorubicin improved antitumor efficacy against xenograft MCF-7 breast tumors in athymic nude mice, attributable to their enhanced tumor tissue penetration. This study suggests that AS1411 aptamer-functionalized liposomes can recognize nucleolin overexpressed on MCF-7 cell surface, and therefore enable drug delivery with high specificity.
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Cites
Nanocarriers as an emerging platform for cancer therapy
Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., & Langer, R. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.387 · Cited by 8,710
Doxil® — The first FDA-approved nano-drug: Lessons learned
Barenholz, Y. (. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2012.03.020 · Cited by 4,792
Nanostructures in Biodiagnostics
Rosi, N. L., & Mirkin, C. A. (2005) · Chemical Reviews · doi:10.1021/cr030067f · Cited by 4,603
Formulation of functionalized PLGA-PEG Nanoparticles for in vivo targeted drug delivery
Cheng, J., Teply, B. A., Sherifi, I., Sung, J., Luther, G., Gu, F. X., Levy-Nissenbaum, E., Radovic-Moreno, A. F., Langer, R., & Farokhzad, O. C. (2007) · Biomaterials · doi:10.1016/j.biomaterials.2006.09.047 · Cited by 1,273
Self-citationYang, Y., Liu, F., Liu, X., & Xing, B. (2013) · Nanoscale · doi:10.1039/c2nr32835f · Cited by 229
Cited by
Lipid-Based Drug Delivery Systems in Cancer Therapy: What Is Available and What Is Yet to Come
Yingchoncharoen, P., Kalinowski, D. S., & Richardson, D. R. (2016) · Pharmacological Reviews · doi:10.1124/pr.115.012070 · Cited by 744
Therapeutic applications of AS1411 aptamer, an update review
Yazdian-Robati, R., Bayat, P., Oroojalian, F., Zargari, M., Ramezani, M., Taghdisi, S. M., & Abnous, K. (2020) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2019.11.118 · Cited by 288
Aptamer Nanomedicine for Cancer Therapeutics: Barriers and Potential for Translation
Lao, Y.-H., Phua, K. K. L., & Leong, K. W. (2015) · ACS Nano · doi:10.1021/nn507494p · Cited by 259
Aptamer-guided nanomedicines for anticancer drug delivery
Alshaer, W., Hillaireau, H., & Fattal, E. (2018) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.09.011 · Cited by 187
Abd Ellah, N. H., & Abouelmagd, S. A. (2017) · Expert Opinion on Drug Delivery · doi:10.1080/17425247.2016.1213238 · Cited by 164
Metadata
- Authors
- Xing, H., Tang, L., Yang, X., Hwang, K., Wang, W., Yin, Q., Wong, N. Y., Dobrucki, L. W., Yasui, N., Katzenellenbogen, J. A., Helferich, W. G., Cheng, J., & Lu, Y.
- Venue
- Journal of Materials Chemistry B
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 1
- Issue
- 39
- Pages
- 5288
- ISSN
- 2050-750X (ISSN-L)
- 2050-7518
- OpenAlex
- W2100572625
- Cited by
- 199
- References
- 5
- FWCI
- 5.63
- Type
- journal article
- Language
- en
- Open access
- green
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- Xing, H., Tang, L., Yang, X., Hwang, K., Wang, W., Yin, Q., Wong, N. Y., Dobrucki, L. W., Yasui, N., Katzenellenbogen, J. A., Helferich, W. G., Cheng, J., & Lu, Y. (2013). Selective delivery of an anticancer drug with aptamer-functionalized liposomes to breast cancer cells in vitro and in vivo. Journal of Materials Chemistry B. https://doi.org/10.1039/c3tb20412j
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