The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Nanoparticles with Precise Ratiometric Co‐Loading and Co‐Delivery of Gemcitabine Monophosphate and Cisplatin for Treatment of Bladder Cancer
Open accessAbstract
Combination chemotherapy is a common practice in clinical management of malignancy. Synergistic therapeutic outcome is only achieved when tumor cells are exposed to cells in an optimal ratio. However, due to diverse physicochemical properties of drugs, no free drug cocktails or nanomaterials are capable of co‐loading and co‐delivering drugs at an optimal ratio. Herein, we develop a novel nano‐platform with precise ratiometric co‐loading and co‐delivery of two hydrophilic drugs for synergistic anti‐tumor effects. Based on previous work, we utilize a solvent displacement method to ratiometrically load dioleoyl phosphatidic acid (DOPA)‐gemcitabine monophosphate (GMP) and DOPA coated cisplatin‐precipitate nanocores into the same PLGA NP. These cores are designed to have similar hydrophobic surface properties. GMP and cisplatin are engineered into PLGA NP at an optimal synergistic ratio (5:1, mol:mol) with over 70% encapsulation efficiency and were ratiometrically taken up by tumor cells in vitro and in vivo. These PLGA NP exhibit synergistic anti‐cancer effects in a stroma‐rich bladder tumor model. A single injection of dual drugs in PLGA NP can significantly inhibit tumor growth. This nanomaterial‐system solves problems related to ratiometric co‐loading and co‐delivery of different hydrophilic moieties and provides possibilities for co‐loading hydrophilic drugs with hydrophobic drugs for combination therapy.
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Chou, T.-C., & Talalay, P. (1984) · Advances in Enzyme Regulation · doi:10.1016/0065-2571(84)90007-4 · Cited by 7,178
Xu, X., Xie, K., Zhang, X.-Q., Pridgen, E. M., Park, G. Y., Cui, D. S., Shi, J., Wu, J., Kantoff, P. W., Lippard, S. J., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1303958110 · Cited by 340
Han, Y., He, Z., Schulz, A., Bronich, T. K., Jordan, R., Luxenhofer, R., & Kabanov, A. V. (2012) · Molecular Pharmaceutics · doi:10.1021/mp300159u · Cited by 125
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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
Meng, H., Wang, M., Liu, H., Liu, X., Situ, A., Wu, B., Ji, Z., Chang, C. H., & Nel, A. E. (2015) · ACS Nano · doi:10.1021/acsnano.5b00510 · Cited by 440
Wan, X., Beaudoin, J. J., Vinod, N., Min, Y., Makita, N., Bludau, H., Jordan, R., Wang, A., Sokolsky, M., & Kabanov, A. V. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2018.10.032 · Cited by 201
Targeting Tumor-Associated Fibroblasts for Therapeutic Delivery in Desmoplastic Tumors
Miao, L., Liu, Q., Lin, C. M., Luo, C., Wang, Y., Liu, L., Yin, W., Hu, S., Kim, W. Y., & Huang, L. (2017) · Cancer Research · doi:10.1158/0008-5472.can-16-0866 · Cited by 215
Self-citationNanoformulations 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
“In particular, several current nanoformulations allow for the co-encapsulation of hydrophobic and hydrophilic drugs with adjustable ratiometric drug loading [33, 94].”
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Metadata
- Authors
- Miao, L., Guo, S., Zhang, J., Kim, W. Y., & Huang, L.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2014-08-22
- Volume
- 24
- Issue
- 42
- Pages
- 6601-6611
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2063254240
- Cited by
- 177
- References
- 3
- FWCI
- 6.18
- Type
- journal article
- Language
- en
- Open access
- green
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- Miao, L., Guo, S., Zhang, J., Kim, W. Y., & Huang, L. (2014). Nanoparticles with Precise Ratiometric Co‐Loading and Co‐Delivery of Gemcitabine Monophosphate and Cisplatin for Treatment of Bladder Cancer. Advanced Functional Materials. https://doi.org/10.1002/adfm.201401076
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