The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Synergistic Transcutaneous Immunotherapy Enhances Antitumor Immune Responses through Delivery of Checkpoint Inhibitors
Open accessAbstract
Despite the promising efficacy of immunoregulation in cancer therapy, the clinical benefit has been restricted by inefficient infiltration of lymphocytes in the evolution of immune evasion. Also, immune-related adverse events have often occurred due to the off-target binding of therapeutics to normal tissues after systematic treatment. In light of this, we have developed a synergistic immunotherapy strategy that locally targets the immunoinhibitory receptor programmed cell death protein 1 (PD1) and immunosuppressive enzyme indoleamine 2,3-dioxygenase (IDO) for the treatment of melanoma through a microneedle-based transcutaneous delivery approach. The embedded immunotherapeutic nanocapsule loaded with anti-PD1 antibody (aPD1) is assembled from hyaluronic acid modified with 1-methyl-dl-tryptophan (1-MT), an inhibitor of IDO. This formulation method based on the combination strategy of "drug A in carriers formed by incorporation of drug B" facilitates the loading capacity of therapeutics. Moreover, the resulting delivery device elicits the sustained release and enhances retention of checkpoint inhibitors in the tumor microenvironment. Using a B16F10 mouse melanoma model, we demonstrate that this synergistic treatment has achieved potent antitumor efficacy, which is accompanied by enhanced effective T cell immunity as well as reduced immunosuppression in the local site.
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Cites
Safety, activity, and immune correlates of anti–PD-1 antibody in cancer
Topalian, S. L., Hodi, F. S., Brahmer, J. R., Gettinger, S. N., Smith, D. C., McDermott, D. F., Powderly, J. D., Carvajal, R. D., Sosman, J. A., Atkins, M. B., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200690 · Cited by 12,628
PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
Le, D. T., Uram, J. N., Wang, H., Bartlett, B. R., Kemberling, H., Eyring, A. D., Skora, A. D., Luber, B. S., Azad, N. S., Laheru, D., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1500596 · Cited by 9,377
Nanocarriers as an emerging platform for cancer therapy
Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., & Langer, R. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.387 · Cited by 8,710
Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma
Larkin, J., Chiarion-Sileni, V., Gonzalez, R., Grob, J. J., Cowey, C. L., Lao, C. D., Schadendorf, D., Dummer, R., Smylie, M., Rutkowski, P., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504030 · Cited by 8,157
Pembrolizumab versus Ipilimumab in Advanced Melanoma
Robert, C., Schachter, J., Long, G. V., Arance, A., Grob, J. J., Mortier, L., Daud, A., Carlino, M. S., McNeil, C., Lotem, M., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1503093 · Cited by 5,887
The future of immune checkpoint therapy
Sharma, P., & Allison, J. P. (2015) · Science · doi:10.1126/science.aaa8172 · Cited by 4,878
Immune Checkpoint Blockade: A Common Denominator Approach to Cancer Therapy
Topalian, S. L., Drake, C. G., & Pardoll, D. M. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.03.001 · Cited by 4,229
Rosenberg, J. E., Hoffman-Censits, J., Powles, T., van der Heijden, M. S., Balar, A. V., Necchi, A., Dawson, N., O'Donnell, P. H., Balmanoukian, A., Loriot, Y., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)00561-4 · Cited by 3,669
Self-assembly of block copolymers
Mai, Y., & Eisenberg, A. (2012) · Chemical Society Reviews · doi:10.1039/c2cs35115c · Cited by 3,610
Prausnitz, M. R., & Langer, R. (2008) · Nature Biotechnology · doi:10.1038/nbt.1504 · Cited by 3,517
Cited by
Makvandi, P., Kirkby, M., Hutton, A. R. J., Shabani, M., Yiu, C. K. Y., Baghbantaraghdari, Z., Jamaledin, R., Carlotti, M., Mazzolai, B., Mattoli, V., et al. (2021) · Nano-Micro Letters · doi:10.1007/s40820-021-00611-9 · Cited by 455
Feng, B., Zhou, F., Hou, B., Wang, D., Wang, T., Fu, Y., Ma, Y., Yu, H., & Li, Y. (2018) · Advanced Materials · doi:10.1002/adma.201803001 · Cited by 451
Engineering Magnetosomes for Ferroptosis/Immunomodulation Synergism in Cancer
Zhang, F., Li, F., Lu, G.-H., Nie, W., Zhang, L., Lv, Y., Bao, W., Gao, X., Wei, W., Pu, K., et al. (2019) · ACS Nano · doi:10.1021/acsnano.9b00892 · Cited by 357
Cheng, K., Ding, Y., Zhao, Y., Ye, S., Zhao, X., Zhang, Y., Ji, T., Wu, H., Wang, B., Anderson, G. J., et al. (2018) · Nano Letters · doi:10.1021/acs.nanolett.8b01071 · Cited by 325
Advances in transdermal insulin delivery
Zhang, Y., Yu, J., Kahkoska, A. R., Wang, J., Buse, J. B., & Gu, Z. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.12.006 · Cited by 325
Self-citation
Metadata
- Authors
- Ye, Y., Wang, J., Hu, Q., Hochu, G. M., Xin, H., Wang, C., & Gu, Z.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-09-06
- Volume
- 10
- Issue
- 9
- Pages
- 8956-8963
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2513541135
- Cited by
- 339
- References
- 41
- FWCI
- 15.63
- Type
- journal article
- Language
- en
- Open access
- green
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- Ye, Y., Wang, J., Hu, Q., Hochu, G. M., Xin, H., Wang, C., & Gu, Z. (2016). Synergistic Transcutaneous Immunotherapy Enhances Antitumor Immune Responses through Delivery of Checkpoint Inhibitors. ACS Nano. https://doi.org/10.1021/acsnano.6b04989
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