The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Smart pH-Sensitive and Temporal-Controlled Polymeric Micelles for Effective Combination Therapy of Doxorubicin and Disulfiram
Abstract
The combination of a chemotherapeutic drug with a multidrug resistance (MDR) modulator has emerged as a promising strategy for treating MDR cancer. To ensure two drugs could be simultaneously delivered to tumor region at the optimum ratio, and the MDR modulator could be released earlier and faster than the chemotherapeutic drug to inactivate P-glycoprotein (P-gp) and subsequently inhibit the pumping out of the chemotherapeutic drug, a smart pH-sensitive polymeric micelles system with high drug loading and precise drug ratio was designed and prepared by conjugating doxorubicin (DOX) to poly(styrene-co-maleic anhydride) (SMA) derivative with adipic dihydrazide (ADH) through a acid-cleavable hydrazone bond, and then encapsulating disulfiram (DSF), a P-gp inhibitor as well as an apoptosis inducer, into the micelles formed by the self-assembly of SMA-ADH-DOX (SAD) conjugate. The pH-sensitive polymeric micelles system enabled a temporal release of two drugs: encapsulated DSF was released fast to inhibit the activity of P-gp and restore cell apoptotic signaling pathways, while conjugated DOX was released in a sustained and pH-dependent manner and highly accumulated in drug resistant cells to exert therapeutic effect, due to the inactivation of P-gp by DSF. The smart co-delivery system was very effective in enhancing the cytotoxicity by increasing the intracellular accumulation of DOX and promoting the apoptotic response, and showed the most effective inhibitory effect on the growth of drug-resistant breast cancer xenografts as compared to other combinations of both drugs. In a word, this smart co-delivery system has significant promise for the clinical therapy of MDR cancer.
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Cites
Targeting multidrug resistance in cancer
Szakács, G., Paterson, J. K., Ludwig, J. A., Booth-Genthe, C., & Gottesman, M. M. (2006) · Nature Reviews Drug Discovery · doi:10.1038/nrd1984 · Cited by 3,609
Nanocarriers’ entry into the cell: relevance to drug delivery
Hillaireau, H., & Couvreur, P. (2009) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-009-0053-z · Cited by 1,552
Xiao, K., Li, Y., Luo, J., Lee, J. S., Xiao, W., Gonik, A. M., Agarwal, R. G., & Lam, K. S. (2011) · Biomaterials · doi:10.1016/j.biomaterials.2011.01.021 · Cited by 1,039
Self-citationSynergistic drug combinations tend to improve therapeutically relevant selectivity
Lehár, J., Krueger, A. S., Avery, W., Heilbut, A. M., Johansen, L. M., Price, E. R., Rickles, R. J., Short III, G. F., Staunton, J. E., Jin, X., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1549 · Cited by 938
Duan, X., & Li, Y. (2013) · Small · doi:10.1002/smll.201201390 · Cited by 926
Self-citationWang, F., Wang, Y.-C., Dou, S., Xiong, M.-H., Sun, T.-M., & Wang, J. (2011) · ACS Nano · doi:10.1021/nn200007z · Cited by 813
Nanoparticle-based combination therapy toward overcoming drug resistance in cancer
Hu, C.-M. J., & Zhang, L. (2012) · Biochemical Pharmacology · doi:10.1016/j.bcp.2012.01.008 · Cited by 686
Chen, D., Cui, Q. C., Yang, H., & Dou, Q. P. (2006) · Cancer Research · doi:10.1158/0008-5472.can-06-2126 · Cited by 674
Greco, F., & Vicent, M. J. (2009) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2009.05.006 · Cited by 652
Arrowsmith, J. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3439 · Cited by 622
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Cancer nanomedicine: progress, challenges and opportunities
Shi, J., Kantoff, P. W., Wooster, R., & Farokhzad, O. C. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2016.108 · Cited by 5,873
Clinical development and potential of photothermal and photodynamic therapies for cancer
Li, X., Lovell, J. F., Yoon, J., & Chen, X. (2020) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-020-0410-2 · Cited by 3,456
The Smart Drug Delivery System and Its Clinical Potential
Liu, D., Yang, F., Xiong, F., & Gu, N. (2016) · Theranostics · doi:10.7150/thno.14858 · Cited by 1,066
Polymer–drug conjugate therapeutics: advances, insights and prospects
Ekladious, I., Colson, Y. L., & Grinstaff, M. W. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-018-0005-0 · Cited by 855
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
Nanomedicine of synergistic drug combinations for cancer therapy – Strategies and perspectives
Zhang, R. X., Wong, H. L., Xue, H. Y., Eoh, J. Y., & Wu, X. Y. (2016) · Journal of Controlled Release · doi:10.1016/j.jconrel.2016.06.012 · Cited by 380
Micro- and nanogels with labile crosslinks – from synthesis to biomedical applications
Zhang, X., Malhotra, S., Molina, M., & Haag, R. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00341a · Cited by 364
Stimuli-sensitive nanopreparations for combination cancer therapy
Jhaveri, A., Deshpande, P., & Torchilin, V. (2014) · Journal of Controlled Release · doi:10.1016/j.jconrel.2014.05.002 · Cited by 334
Ph-responsive polymer–drug conjugates: design and progress
Pang, X., Jiang, Y., Xiao, Q., Leung, A. W., Hua, H., & Xu, C. (2016) · Journal of Controlled Release · doi:10.1016/j.jconrel.2015.12.024 · Cited by 317
Wang, S., Wang, Z., Yu, G., Zhou, Z., Jacobson, O., Liu, Y., Ma, Y., Zhang, F., Chen, Z., & Chen, X. (2019) · Advanced Science · doi:10.1002/advs.201801986 · Cited by 292
Nanoformulations for combination or cascade anticancer therapy
Miao, L., Guo, S., Lin, C. M., Liu, Q., & Huang, L. (2017) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2017.06.003 · Cited by 178
Lu, Y., Pan, Q., Gao, W., Pu, Y., Luo, K., He, B., & Gu, Z. (2022) · Biomaterials · doi:10.1016/j.biomaterials.2021.121335 · Cited by 149
Thermo-triggered Drug Release from Actively Targeting Polymer Micelles
Guo, X., Li, D., Yang, G., Shi, C., Tang, Z., Wang, J., & Zhou, S. (2014) · ACS Applied Materials & Interfaces · doi:10.1021/am501422r · Cited by 97
Li, H., Liu, B., Ao, H., Fu, J., Wang, Y., Feng, Y., Guo, Y., & Wang, X. (2020) · Journal of Nanobiotechnology · doi:10.1186/s12951-019-0565-0 · Cited by 28
Shao, L., Liu, D., Liu, X., Wang, X., Yang, X., Niu, R., Yin, S., Xu, P., Mao, Y., Du, X., et al. (2024) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2024.117402 · Cited by 14
Metadata
- Authors
- Duan, X., Xiao, J., Yin, Q., Zhang, Z., Yu, H., Mao, S., & Li, Y.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-06-10
- Volume
- 7
- Issue
- 7
- Pages
- 5858-5869
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W1965636780
- Cited by
- 379
- References
- 38
- FWCI
- 14.14
- Type
- journal article
- Language
- en
- Open access
- closed
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