The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Cancer Cell Membrane–Biomimetic Nanoparticles for Homologous-Targeting Dual-Modal Imaging and Photothermal Therapy
Abstract
An active cell membrane-camouflaged nanoparticle, owning to membrane antigens and membrane structure, can achieve special properties such as specific recognition, long blood circulation, and immune escaping. Herein, we reported a cancer cell membrane-cloaked nanoparticle system as a theranostic nanoplatform. The biomimetic nanoparticles (indocyanine green (ICG)-loaded and cancer cell membrane-coated nanoparticles, ICNPs) exhibit a core-shell nanostructure consisting of an ICG-polymeric core and cancer cell membrane shell. ICNPs demonstrated specific homologous targeting to cancer cells with good monodispersity, preferable photothermal response, and excellent fluorescence/photoacoustic (FL/PA) imaging properties. Benefited from the functionalization of the homologous binding adhesion molecules from cancer cell membranes, ICNPs significantly promoted cell endocytosis and homologous-targeting tumor accumulation in vivo. Moreover, ICNPs were also good at disguising as cells to decrease interception by the liver and kidney. Through near-infrared (NIR)-FL/PA dual-modal imaging, ICNPs could realize real-time monitored in vivo dynamic distribution with high spatial resolution and deep penetration. Under NIR laser irradiation, ICNPs exhibited highly efficient photothermal therapy to eradicate xenografted tumor. The robust ICNPs with homologous properties of cancer cell membranes can serve as a bionic nanoplatform for cancer-targeted imaging and phototherapy.
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Cites
Strategies in the design of nanoparticles for therapeutic applications
Petros, R. A., & DeSimone, J. M. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd2591 · Cited by 3,651
Poly(ethylene glycol) in Drug Delivery: Pros and Cons as Well as Potential Alternatives
Knop, K., Hoogenboom, R., Fischer, D., & Schubert, U. S. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.200902672 · Cited by 3,533
Erythrocyte membrane-camouflaged polymeric nanoparticles as a biomimetic delivery platform
Hu, C.-M. J., Zhang, L., Aryal, S., Cheung, C., Fang, R. H., & Zhang, L. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1106634108 · Cited by 2,433
Immunosuppressive networks in the tumour environment and their therapeutic relevance
Zou, W. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1586 · Cited by 2,057
Immunosuppressive Strategies that are Mediated by Tumor Cells
Rabinovich, G. A., Gabrilovich, D., & Sotomayor, E. M. (2007) · Annual Review of Immunology · doi:10.1146/annurev.immunol.25.022106.141609 · Cited by 1,702
Cancer Cell Membrane-Coated Nanoparticles for Anticancer Vaccination and Drug Delivery
Fang, R. H., Hu, C.-M. J., Luk, B. T., Gao, W., Copp, J. A., Tai, Y., O’Connor, D. E., & Zhang, L. (2014) · Nano Letters · doi:10.1021/nl500618u · Cited by 1,501
Parodi, A., Quattrocchi, N., van de Ven, A. L., Chiappini, C., Evangelopoulos, M., Martinez, J. O., Brown, B. S., Khaled, S. Z., Yazdi, I. K., Enzo, M. V., et al. (2013) · Nature Nanotechnology · doi:10.1038/nnano.2012.212 · Cited by 1,168
Minimal "Self" Peptides That Inhibit Phagocytic Clearance and Enhance Delivery of Nanoparticles
Rodriguez, P. L., Harada, T., Christian, D. A., Pantano, D. A., Tsai, R. K., & Discher, D. E. (2013) · Science · doi:10.1126/science.1229568 · Cited by 985
Hazan, R. B., Phillips, G. R., Qiao, R. F., Norton, L., & Aaronson, S. A. (2000) · The Journal of Cell Biology · doi:10.1083/jcb.148.4.779 · Cited by 933
Theranostic Nanoshells: From Probe Design to Imaging and Treatment of Cancer
Bardhan, R., Lal, S., Joshi, A., & Halas, N. J. (2011) · Accounts of Chemical Research · doi:10.1021/ar200023x · Cited by 917
Cited by
Cell Membrane Coating Nanotechnology
Fang, R. H., Kroll, A. V., Gao, W., & Zhang, L. (2018) · Advanced Materials · doi:10.1002/adma.201706759 · Cited by 1,885
Targeting drugs to tumours using cell membrane-coated nanoparticles
Fang, R. H., Gao, W., & Zhang, L. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-022-00699-x · Cited by 980
Recent progress in drug delivery
Li, C., Wang, J., Wang, Y., Gao, H., Wei, G., Huang, Y., Yu, H., Gan, Y., Wang, Y., Mei, L., et al. (2019) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2019.08.003 · Cited by 818
Tumor exosome-based nanoparticles are efficient drug carriers for chemotherapy
Yong, T., Zhang, X., Bie, N., Zhang, H., Zhang, X., Li, F., Hakeem, A., Hu, J., Gan, L., Santos, H. A., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11718-4 · Cited by 806
Liu, C., Wang, D., Zhang, S., Cheng, Y., Yang, F., Xing, Y., Xu, T., Dong, H., & Zhang, X. (2019) · ACS Nano · doi:10.1021/acsnano.8b09387 · Cited by 641
Metadata
- Authors
- Chen, Z., Zhao, P., Luo, Z., Zheng, M., Tian, H., Gong, P., Gao, G., Pan, H., Liu, L., Ma, A., Cui, H., Ma, Y., & Cai, L.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-11-10
- Volume
- 10
- Issue
- 11
- Pages
- 10049-10057
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2555200685
- Cited by
- 895
- References
- 40
- FWCI
- 26.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, Z., Zhao, P., Luo, Z., Zheng, M., Tian, H., Gong, P., Gao, G., Pan, H., Liu, L., Ma, A., Cui, H., Ma, Y., & Cai, L. (2016). Cancer Cell Membrane–Biomimetic Nanoparticles for Homologous-Targeting Dual-Modal Imaging and Photothermal Therapy. ACS Nano. https://doi.org/10.1021/acsnano.6b04695
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