The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Theranostic Liposomes with Hypoxia-Activated Prodrug to Effectively Destruct Hypoxic Tumors Post-Photodynamic Therapy
Open accessAbstract
Photodynamic therapy (PDT), a noninvasive cancer therapeutic method triggered by light, would lead to severe tumor hypoxia after treatment. Utilizing a hypoxia-activated prodrug, AQ4N, which only shows toxicity to cancer cells under hypoxic environment, herein, a multipurpose liposome is prepared by encapsulating hydrophilic AQ4N and hydrophobic hexadecylamine conjugated chlorin e6 ( h Ce6), a photosensitizer, into its aqueous cavity and hydrophobic bilayer, respectively. After chelating a 64 Cu isotope with Ce6, the obtained AQ4N- 64 Cu- h Ce6-liposome is demonstrated to be an effective imaging probe for in vivo positron emission tomography, which together with in vivo fluorescence and photoacoustic imaging uncovers efficient passive homing of those liposomes after intravenous injection. After being irradiated with the 660 nm light-emitting diode light, the tumor bearing mice with injection of AQ4N- h Ce6-liposome show severe tumor hypoxia, which in turn would trigger activation of AQ4N, and finally contributes to remarkably improved cancer treatment outcomes via sequential PDT and hypoxia-activated chemotherapy. This work highlights a liposome-based theranostic nanomedicine that could utilize tumor hypoxia, a side effect of PDT, to trigger chemotherapy, resulting in greatly improved efficacy compared to conventional cancer PDT.
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Citations
Cites
Hypoxia — a key regulatory factor in tumour growth
Harris, A. L. (2002) · Nature Reviews Cancer · doi:10.1038/nrc704 · Cited by 5,177
Targeting hypoxia in cancer therapy
Wilson, W. R., & Hay, M. P. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3064 · Cited by 3,172
Exploiting tumour hypoxia in cancer treatment
Brown, J. M., & Wilson, W. R. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1367 · Cited by 2,828
Cheng, Y., Cheng, H., Jiang, C., Qiu, X., Wang, K., Huan, W., Yuan, A., Wu, J., & Hu, Y. (2015) · Nature Communications · doi:10.1038/ncomms9785 · Cited by 941
Tumor Microenvironment Complexity: Emerging Roles in Cancer Therapy
Swartz, M. A., Iida, N., Roberts, E. W., Sangaletti, S., Wong, M. H., Yull, F. E., Coussens, L. M., & DeClerck, Y. A. (2012) · Cancer Research · doi:10.1158/0008-5472.can-12-0122 · Cited by 542
Oxygen Consumption and Diffusion Effects in Photodynamic Therapy
Foster, T. H., Murant, R. S., Bryant, R. G., Knox, R. S., Gibson, S. L., & Hilf, R. (1991) · Radiation Research · doi:10.2307/3577919 · Cited by 400
Huang, C.-C., Chia, W.-T., Chung, M.-F., Lin, K.-J., Hsiao, C.-W., Jin, C., Lim, W.-H., Chen, C.-C., & Sung, H.-W. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b01784 · Cited by 372
Borad, M. J., Reddy, S. G., Bahary, N., Uronis, H. E., Sigal, D., Cohn, A. L., Schelman, W. R., Stephenson, J., Chiorean, E. G., Rosen, P. J., et al. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2014.55.7504 · Cited by 197
The role of hypoxia-activated prodrugs in cancer therapy
Denny, W. A. (2000) · The Lancet Oncology · doi:10.1016/s1470-2045(00)00006-1 · Cited by 167
Chawla, S. P., Cranmer, L. D., Van Tine, B. A., Reed, D. R., Okuno, S. H., Butrynski, J. E., Adkins, D. R., Hendifar, A. E., Kroll, S., & Ganjoo, K. N. (2014) · Journal of Clinical Oncology · doi:10.1200/jco.2013.54.3660 · Cited by 155
Cited by
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
Stimuli-responsive nanocarriers for drug delivery, tumor imaging, therapy and theranostics
Mi, P. (2020) · Theranostics · doi:10.7150/thno.38069 · Cited by 830
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
Dong, Z., Feng, L., Hao, Y., Chen, M., Gao, M., Chao, Y., Zhao, H., Zhu, W., Liu, J., Liang, C., et al. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.7b11036 · Cited by 490
Self-citationChen, J., Luo, H., Liu, Y., Zhang, W., Li, H., Luo, T., Zhang, K., Zhao, Y., & Liu, J. (2017) · ACS Nano · doi:10.1021/acsnano.7b08225 · Cited by 451
Metadata
- Authors
- Feng, L., Cheng, L., Dong, Z., Tao, D., Barnhart, T. E., Cai, W., Chen, M., & Liu, Z.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-12-29
- Volume
- 11
- Issue
- 1
- Pages
- 927-937
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2567120106
- Cited by
- 424
- References
- 10
- FWCI
- 23.71
- Type
- journal article
- Language
- en
- Open access
- green
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