The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Intracellularly Acid-Switchable Multifunctional Micelles for Combinational Photo/Chemotherapy of the Drug-Resistant Tumor
Abstract
The intrinsic or acquired drug resistance is the main challenge for cancer chemotherapy today. So far, many nanosized drug delivery systems (NDDS) have been exploited to combat cancer drug resistance. However, the therapy efficacy of current NDDS is severely impaired by the limited tumor penetration of the nanoparticles due to the existence of physiological and pathological barriers in the solid tumor. In this study, we report on the design and fabrication of intracellularly acid-switchable multifunctional micelles for combinational photo- and chemotherapy of the drug-resistant tumor. The micelles were composed of a pH-responsive diblock copolymer, a photosensitizer, and a polymeric prodrug of doxorubicin. The micelle displayed silenced fluorescence and photoactivity during the blood circulation and switched to an active state in weakly acid conditions (i.e., pH ≤ 6.2) in the endocytic vesicles to dramatically induce a 7.5-fold increase of the fluorescence signal for fluorescence imaging. Upon near-infrared (NIR) laser irradiation, the micelle induced notable reactive oxygen species generation to trigger cytosol release of the chemotherapeutics and perform photodynamic therapy (PDT). Moreover, the micelle efficiently converted the NIR light to local heat for enhancing tumor penetration of the anticancer drug, tumor specific photothermal therapy, and photoacoustic (PA) imaging. Furthermore, the micelles could generate amplified magnetic resonance (MR) signal in an acidic microenvironment to perform MR imaging. Collectively, this study presents a robust nanoplatform for multimodal imaging and combinational therapy of the drug-resistant tumor, which might provide an insight for developing polymer-based NDDS for cancer therapy.
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Cites
Stimuli-responsive nanocarriers for drug delivery
Mura, S., Nicolas, J., & Couvreur, P. (2013) · Nature Materials · doi:10.1038/nmat3776 · Cited by 6,289
Multidrug resistance in cancer: role of ATP–dependent transporters
Gottesman, M. M., Fojo, T., & Bates, S. E. (2002) · Nature Reviews Cancer · doi:10.1038/nrc706 · Cited by 5,536
Delivering nanomedicine to solid tumors
Jain, R. K., & Stylianopoulos, T. (2010) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2010.139 · Cited by 3,180
Knocking down barriers: advances in siRNA delivery
Whitehead, K. A., Langer, R., & Anderson, D. G. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2742 · Cited by 3,115
In vivo near-infrared fluorescence imaging
Frangioni, J. V. (2003) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2003.08.007 · Cited by 2,653
Accumulation of sub-100 nm polymeric micelles in poorly permeable tumours depends on size
Cabral, H., Matsumoto, Y., Mizuno, K., Chen, Q., Murakami, M., Kimura, M., Terada, Y., Kano, M. R., Miyazono, K., Uesaka, M., et al. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.166 · Cited by 2,429
In vivo imaging of tumors with protease-activated near-infrared fluorescent probes
Weissleder, R., Tung, C.-H., Mahmood, U., & Bogdanov, A. (1999) · Nature Biotechnology · doi:10.1038/7933 · Cited by 1,591
Nanomaterials for Theranostics: Recent Advances and Future Challenges
Lim, E.-K., Kim, T., Paik, S., Haam, S., Huh, Y.-M., & Lee, K. (2015) · Chemical Reviews · doi:10.1021/cr300213b · Cited by 1,233
Semiconducting polymer nanoparticles as photoacoustic molecular imaging probes in living mice
Pu, K., Shuhendler, A. J., Jokerst, J. V., Mei, J., Gambhir, S. S., Bao, Z., & Rao, J. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2013.302 · Cited by 1,185
Du, J.-Z., Du, X.-J., Mao, C.-Q., & Wang, J. (2011) · Journal of the American Chemical Society · doi:10.1021/ja207150n · Cited by 1,172
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Ekladious, I., Colson, Y. L., & Grinstaff, M. W. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-018-0005-0 · Cited by 855
Self‐Assembled Peptide‐Based Nanomaterials for Biomedical Imaging and Therapy
Qi, G., Gao, Y., Wang, L., & Wang, H. (2018) · Advanced Materials · doi:10.1002/adma.201703444 · Cited by 527
Supramolecular cancer nanotheranostics
Zhou, J., Rao, L., Yu, G., Cook, T. R., Chen, X., & Huang, F. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00011f · Cited by 411
Song, R., Li, T., Ye, J., Sun, F., Hou, B., Saeed, M., Gao, J., Wang, Y., Zhu, Q., Xu, Z., et al. (2021) · Advanced Materials · doi:10.1002/adma.202101155 · Cited by 308
Self-citationOrganelle-Targeted Photosensitizers for Precision Photodynamic Therapy
Wang, R., Li, X., & Yoon, J. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c02019 · Cited by 293
Metadata
- Authors
- Wang, T., Wang, D., Yu, H., Wang, M., Liu, J., Feng, B., Zhou, F., Yin, Q., Zhang, Z., Huang, Y., & Li, Y.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-02-15
- Volume
- 10
- Issue
- 3
- Pages
- 3496-3508
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2258701952
- Cited by
- 295
- References
- 46
- FWCI
- 22.80
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, T., Wang, D., Yu, H., Wang, M., Liu, J., Feng, B., Zhou, F., Yin, Q., Zhang, Z., Huang, Y., & Li, Y. (2016). Intracellularly Acid-Switchable Multifunctional Micelles for Combinational Photo/Chemotherapy of the Drug-Resistant Tumor. ACS Nano. https://doi.org/10.1021/acsnano.5b07706
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