The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Nanoparticle-Mediated Remodeling of the Tumor Microenvironment to Enhance Immunotherapy
Open accessAbstract
Nanoscience has long been lauded as a method through which tumor-associated barriers could be overcome. As successful as cancer immunotherapy has been, limitations associated with the tumor microenvironment or side effects of systemic treatment have become more apparent. In this Review, we seek to lay out the therapeutic challenges associated with the tumor microenvironment and the ways in which nanoscience is being applied to remodel the tumor microenvironment and increase the susceptibility of many cancer types to immunotherapy. We detail the nanomedicines on the cutting edge of cancer immunotherapy and how their interactions with the tumor microenvironment make them more effective than systemically administered immunotherapies.
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Improved Survival with Ipilimumab in Patients with Metastatic Melanoma
Hodi, F. S., O'Day, S. J., McDermott, D. F., Weber, R. W., Sosman, J. A., Haanen, J. B., Gonzalez, R., Robert, C., Schadendorf, D., Hassel, J. C., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1003466 · Cited by 15,155
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
Immunogenic Cell Death in Cancer Therapy
Kroemer, G., Galluzzi, L., Kepp, O., & Zitvogel, L. (2013) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032712-100008 · Cited by 3,303
Clonal heterogeneity and tumor evolution: past, present, and the future
McGranahan, N., & Swanton, C. (2017) · Cell · doi:10.1016/j.cell.2017.01.018 · Cited by 2,840
Vaccination of patients with B–cell lymphoma using autologous antigen–pulsed dendritic cells
Hsu, F. J., Benike, C., Fagnoni, F., Liles, T. M., Czerwinski, D., Taidi, B., Engleman, E. G., & Levy, R. (1996) · Nature Medicine · doi:10.1038/nm0196-52 · Cited by 1,804
Spranger, S., Spaapen, R. M., Zha, Y., Williams, J., Meng, Y., Ha, T. T., & Gajewski, T. F. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3006504 · Cited by 1,677
Erez, N., Truitt, M., Olson, P., & Hanahan, D. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.041 · Cited by 1,515
Liposomal Amphotericin B for Empirical Therapy in Patients with Persistent Fever and Neutropenia
Walsh, T. J., Finberg, R. W., Arndt, C., Hiemenz, J., Schwartz, C., Bodensteiner, D., Pappas, P., Seibel, N., Greenberg, R. N., Dummer, S., et al. (1999) · New England Journal of Medicine · doi:10.1056/nejm199903113401004 · Cited by 1,205
Fuertes, M. B., Kacha, A. K., Kline, J., Woo, S.-R., Kranz, D. M., Murphy, K. M., & Gajewski, T. F. (2011) · Journal of Experimental Medicine · doi:10.1084/jem.20101159 · Cited by 1,192
Type I interferon is selectively required by dendritic cells for immune rejection of tumors
Diamond, M. S., Kinder, M., Matsushita, H., Mashayekhi, M., Dunn, G. P., Archambault, J. M., Lee, H., Arthur, C. D., White, J. M., Kalinke, U., et al. (2011) · Journal of Experimental Medicine · doi:10.1084/jem.20101158 · Cited by 1,081
A novel pathway combining calreticulin exposure and ATP secretion in immunogenic cancer cell death
Garg, A. D., Krysko, D. V., Verfaillie, T., Kaczmarek, A., Ferreira, G. B., Marysael, T., Rubio, N., Firczuk, M., Mathieu, C., Roebroek, A. J. M., et al. (2012) · The EMBO Journal · doi:10.1038/emboj.2011.497 · Cited by 800
Phase II and Phase III attrition rates 2011–2012
Arrowsmith, J., & Miller, P. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd4090 · Cited by 697
Loeffler, M. (2006) · Journal of Clinical Investigation · doi:10.1172/jci26532 · Cited by 633
Obeid, M., Panaretakis, T., Joza, N., Tufi, R., Tesniere, A., van Endert, P., Zitvogel, L., & Kroemer, G. (2007) · Cell Death & Differentiation · doi:10.1038/sj.cdd.4402201 · Cited by 474
Liu, L., Wang, Y., Miao, L., Liu, Q., Musetti, S., Li, J., & Huang, L. (2018) · Molecular Therapy · doi:10.1016/j.ymthe.2017.10.020 · Cited by 373
Self-citationT cell–induced CSF1 promotes melanoma resistance to PD1 blockade
Neubert, N. J., Schmittnaegel, M., Bordry, N., Nassiri, S., Wald, N., Martignier, C., Tillé, L., Homicsko, K., Damsky, W., Maby-El Hajjami, H., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aan3311 · Cited by 308
Targeting Tumor-Associated Fibroblasts for Therapeutic Delivery in Desmoplastic Tumors
Miao, L., Liu, Q., Lin, C. M., Luo, C., Wang, Y., Liu, L., Yin, W., Hu, S., Kim, W. Y., & Huang, L. (2017) · Cancer Research · doi:10.1158/0008-5472.can-16-0866 · Cited by 215
Self-citationChen, B., Dai, W., Mei, D., Liu, T., Li, S., He, B., He, B., Yuan, L., Zhang, H., Wang, X., et al. (2016) · Journal of Controlled Release · doi:10.1016/j.jconrel.2016.09.014 · Cited by 142
Cited by
Yang, B., Chen, Y., & Shi, J. (2019) · Advanced Materials · doi:10.1002/adma.201901778 · Cited by 601
Recent advances in nanomedicines for photodynamic therapy (PDT)-driven cancer immunotherapy
Ji, B., Wei, M., & Yang, B. (2022) · Theranostics · doi:10.7150/thno.67300 · Cited by 544
Chen, C., Ni, X., Jia, S., Liang, Y., Wu, X., Kong, D., & Ding, D. (2019) · Advanced Materials · doi:10.1002/adma.201904914 · Cited by 503
Park, J., Choi, Y., Chang, H., Um, W., Ryu, J. H., & Kwon, I. C. (2019) · Theranostics · doi:10.7150/thno.37198 · Cited by 382
Feng, X., Xu, W., Li, Z., Song, W., Ding, J., & Chen, X. (2019) · Advanced Science · doi:10.1002/advs.201900101 · Cited by 363
Metadata
- Authors
- Musetti, S., & Huang, L.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-12-03
- Volume
- 12
- Issue
- 12
- Pages
- 11740-11755
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2902626376
- Cited by
- 239
- References
- 18
- FWCI
- 7.50
- Type
- journal article
- Language
- en
- Open access
- green
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
