The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Dual Targeting Nanoparticle Stimulates the Immune System To Inhibit Tumor Growth
Open accessAbstract
We describe the development of a nanoparticle platform that overcomes the immunosuppressive tumor microenvironment. These nanoparticles are coated with two different antibodies that simultaneously block the inhibitory checkpoint PD-L1 signal and stimulate T cells via the 4-1BB co-stimulatory pathway. These "immunoswitch" particles significantly delay tumor growth and extend survival in multiple in vivo models of murine melanoma and colon cancer in comparison to the use of soluble antibodies or nanoparticles separately conjugated with the inhibitory and stimulating antibodies. Immunoswitch particles enhance effector-target cell conjugation and bypass the requirement for a priori knowledge of tumor antigens. The use of the immunoswitch nanoparticles resulted in an increased density, specificity, and in vivo functionality of tumor-infiltrating CD8+ T cells. Changes in the T cell receptor repertoire against a single tumor antigen indicate immunoswitch particles expand an effective set of T cell clones. Our data show the potential of a signal-switching approach to cancer immunotherapy that simultaneously targets two stages of the cancer immunity cycle resulting in robust antitumor activity.
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Cites
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
Safety and activity of anti-PD-L1 antibody in patients with advanced cancer
Brahmer, J. R., Tykodi, S. S., Chow, L. Q. M., Hwu, W.-J., Topalian, S. L., Hwu, P., Drake, C. G., Camacho, L. H., Kauh, J., Odunsi, K., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200694 · Cited by 7,945
Oncology meets immunology: the cancer-immunity cycle.
Chen, D. S., & Mellman, I. (2013) · Immunity · doi:10.1016/j.immuni.2013.07.012 · Cited by 6,929
Nivolumab in Previously Untreated Melanoma without BRAF Mutation
Robert, C., Long, G. V., Brady, B., Dutriaux, C., Maio, M., Mortier, L., Hassel, J. C., Rutkowski, P., McNeil, C., Kalinka-Warzocha, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1412082 · Cited by 5,519
Molecular mechanisms of T cell co-stimulation and co-inhibition
Chen, L., & Flies, D. B. (2013) · Nature Reviews Immunology · doi:10.1038/nri3405 · Cited by 3,114
Natural selection of tumor variants in the generation of “tumor escape” phenotypes
Khong, H. T., & Restifo, N. P. (2002) · Nature Immunology · doi:10.1038/ni1102-999 · Cited by 1,058
Spranger, S., Koblish, H. K., Horton, B., Scherle, P. A., Newton, R., & Gajewski, T. F. (2014) · Journal for ImmunoTherapy of Cancer · doi:10.1186/2051-1426-2-3 · Cited by 552
Cited by
Bridging Bio–Nano Science and Cancer Nanomedicine
Björnmalm, M., Thurecht, K. J., Michael, M., Scott, A. M., & Caruso, F. (2017) · ACS Nano · doi:10.1021/acsnano.7b04855 · Cited by 382
Tumor target amplification: Implications for nano drug delivery systems
Seidi, K., Neubauer, H. A., Moriggl, R., Jahanban-Esfahlan, R., & Javaheri, T. (2018) · Journal of Controlled Release · doi:10.1016/j.jconrel.2018.02.020 · Cited by 145
Immunotherapies targeting tumor vasculature: challenges and opportunities
Dianat-Moghadam, H., Nedaeinia, R., Keshavarz, M., Azizi, M., Kazemi, M., & Salehi, R. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1226360 · Cited by 36
Metadata
- Authors
- Kosmides, A. K., Sidhom, J.-W., Fraser, A., Bessell, C. A., & Schneck, J. P.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-06-07
- Volume
- 11
- Issue
- 6
- Pages
- 5417-5429
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2621672632
- Cited by
- 170
- References
- 7
- FWCI
- 7.65
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
