The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Nanoparticle‐Enhanced Radiotherapy to Trigger Robust Cancer Immunotherapy
Abstract
External radiotherapy is extensively used in clinic to destruct tumors by locally applied ionizing‐radiation beams. However, the efficacy of radiotherapy is usually limited by tumor hypoxia‐associated radiation resistance. Moreover, as a local treatment technique, radiotherapy can hardly control tumor metastases, the major cause of cancer death. Herein, core–shell nanoparticles based poly(lactic‐co‐glycolic) acid (PLGA) are fabricate, by encapsulating water‐soluble catalase (Cat), an enzyme that can decompose H 2 O 2 to generate O 2, inside the inner core, and loading hydrophobic imiquimod (R837), a Toll‐like‐receptor‐7 agonist, within the PLGA shell. The formed PLGA‐R837@Cat nanoparticles can greatly enhance radiotherapy efficacy by relieving the tumor hypoxia and modulating the immune‐suppressive tumor microenvironment. The tumor‐associated antigens generated postradiotherapy‐induced immunogenic cell death in the presence of such R837‐loaded adjuvant nanoparticles will induce strong antitumor immune responses, which together with cytotoxic T‐lymphocyte associated protein 4 (CTLA‐4) checkpoint blockade will be able to effectively inhibit tumor metastases by a strong abscopal effect. Moreover, a long term immunological memory effect to protect mice from tumor rechallenging is observed post such treatment. This work thus presents a unique nanomedicine approach as a next‐generation radiotherapy strategy to enable synergistic whole‐body therapeutic responses after local treatment, greatly promising for clinical translation.
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Cites
The blockade of immune checkpoints in cancer immunotherapy
Pardoll, D. M. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3239 · Cited by 13,838
Two subsets of memory T lymphocytes with distinct homing potentials and effector functions
Sallusto, F., Lenig, D., Förster, R., Lipp, M., & Lanzavecchia, A. (1999) · Nature · doi:10.1038/44385 · Cited by 5,846
Cancer immunotherapy comes of age
Mellman, I., Coukos, G., & Dranoff, G. (2011) · Nature · doi:10.1038/nature10673 · Cited by 3,893
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
Exploiting tumour hypoxia in cancer treatment
Brown, J. M., & Wilson, W. R. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1367 · Cited by 2,828
Mechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy
Topalian, S. L., Taube, J. M., Anders, R. A., & Pardoll, D. M. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.36 · Cited by 2,733
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
Association of the T-cell regulatory gene CTLA4 with susceptibility to autoimmune disease
Ueda, H., Howson, J. M. M., Esposito, L., Heward, J., Snook, Chamberlain, G., Rainbow, D. B., Hunter, K. M. D., Smith, A. N., Di Genova, G., et al. (2003) · Nature · doi:10.1038/nature01621 · Cited by 2,175
Effector and memory T-cell differentiation: implications for vaccine development
Kaech, S. M., Wherry, E. J., & Ahmed, R. (2002) · Nature Reviews Immunology · doi:10.1038/nri778 · Cited by 1,865
Lineage relationship and protective immunity of memory CD8 T cell subsets
Wherry, E. J., Teichgräber, V., Becker, T. C., Masopust, D., Kaech, S. M., Antia, R., von Andrian, U. H., & Ahmed, R. (2003) · Nature Immunology · doi:10.1038/ni889 · Cited by 1,864
Cited by
Yang, B., Chen, Y., & Shi, J. (2019) · Advanced Materials · doi:10.1002/adma.201901778 · Cited by 601
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
Tumor‐Microenvironment‐Responsive Nanomedicine for Enhanced Cancer Immunotherapy
Peng, S., Xiao, F., Chen, M., & Gao, H. (2022) · Advanced Science · doi:10.1002/advs.202103836 · Cited by 441
Tailoring Materials for Modulation of Macrophage Fate
Li, J., Jiang, X., Li, H., Gelinsky, M., & Gu, Z. (2021) · Advanced Materials · doi:10.1002/adma.202004172 · Cited by 403
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
- Chen, Q., Chen, J., Yang, Z., Xu, J., Xu, L., Liang, C., Han, X., & Liu, Z.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2019-01-21
- Volume
- 31
- Issue
- 10
- Pages
- e1802228-e1802228
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2908838385
- Cited by
- 661
- References
- 12
- FWCI
- 30.85
- Type
- journal article
- Language
- en
- Open access
- closed
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