The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Nanoparticulate Delivery of Cancer Cell Membrane Elicits Multiantigenic Antitumor Immunity
Open accessAbstract
Anticancer vaccines train the body's own immune system to recognize and eliminate malignant cells based on differential antigen expression. While conceptually attractive, clinical efficacy is lacking given several key challenges stemming from the similarities between cancerous and healthy tissue. Ideally, an effective vaccine formulation would deliver multiple tumor antigens in a fashion that potently stimulates endogenous immune responses against those antigens. Here, it is reported on the fabrication of a biomimetic, nanoparticulate anticancer vaccine that is capable of delivering autologously derived tumor antigen material together with a highly immunostimulatory adjuvant. The two major components, tumor antigens and adjuvant, are presented concurrently in a fashion that maximizes their ability to promote effective antigen presentation and activation of downstream immune processes. Ultimately, it is demonstrated that the formulation can elicit potent antitumor immune responses in vivo. When combined with additional immunotherapies such as checkpoint blockades, the nanovaccine demonstrates substantial therapeutic effect. Overall, the work represents the rational application of nanotechnology for immunoengineering and can provide a blueprint for the future development of personalized, autologous anticancer vaccines with broad applicability.
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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
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
Cancer immunotherapy comes of age
Mellman, I., Coukos, G., & Dranoff, G. (2011) · Nature · doi:10.1038/nature10673 · Cited by 3,893
Radiation and dual checkpoint blockade activate non-redundant immune mechanisms in cancer
Twyman-Saint Victor, C., Rech, A. J., Maity, A., Rengan, R., Pauken, K. E., Stelekati, E., Benci, J. L., Xu, B., Dada, H., Odorizzi, P. M., et al. (2015) · Nature · doi:10.1038/nature14292 · Cited by 2,434
Immune evasion in cancer: mechanistic basis and therapeutic strategies
Vinay, D. S., Ryan, E. P., Pawelec, G., Talib, W. H., Stagg, J., Elkord, E., Lichtor, T., Decker, W. K., Whelan, R. L., Kumara, H. M. C. S., et al. (2015) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2015.03.004 · Cited by 1,625
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
Self-citationTargeting 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
Self-citationRecent 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
Yang, R., Xu, J., Xu, L., Sun, X., Chen, Q., Zhao, Y., Peng, R., & Liu, Z. (2018) · ACS Nano · doi:10.1021/acsnano.7b09041 · Cited by 698
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
- Kroll, A. V., Fang, R. H., Jiang, Y., Zhou, J., Wei, X., Yu, C. L., Gao, J., Luk, B. T., Dehaini, D., Gao, W., & Zhang, L.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2017-11-02
- Volume
- 29
- Issue
- 47
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2765097474
- Cited by
- 501
- References
- 5
- FWCI
- 15.38
- Type
- journal article
- Language
- en
- Open access
- green
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- Kroll, A. V., Fang, R. H., Jiang, Y., Zhou, J., Wei, X., Yu, C. L., Gao, J., Luk, B. T., Dehaini, D., Gao, W., & Zhang, L. (2017). Nanoparticulate Delivery of Cancer Cell Membrane Elicits Multiantigenic Antitumor Immunity. Advanced Materials. https://doi.org/10.1002/adma.201703969
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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.
