The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Near-Infrared-Triggered Photodynamic Therapy with Multitasking Upconversion Nanoparticles in Combination with Checkpoint Blockade for Immunotherapy of Colorectal Cancer
Abstract
While immunotherapy has become a highly promising paradigm for cancer treatment in recent years, it has long been recognized that photodynamic therapy (PDT) has the ability to trigger antitumor immune responses. However, conventional PDT triggered by visible light has limited penetration depth, and its generated immune responses may not be robust enough to eliminate tumors. Herein, upconversion nanoparticles (UCNPs) are simultaneously loaded with chlorin e6 (Ce6), a photosensitizer, and imiquimod (R837), a Toll-like-receptor-7 agonist. The obtained multitasking UCNP-Ce6-R837 nanoparticles under near-infrared (NIR) irradiation with enhanced tissue penetration depth would enable effective photodynamic destruction of tumors to generate a pool of tumor-associated antigens, which in the presence of those R837-containing nanoparticles as the adjuvant are able to promote strong antitumor immune responses. More significantly, PDT with UCNP-Ce6-R837 in combination with the cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) checkpoint blockade not only shows excellent efficacy in eliminating tumors exposed to the NIR laser but also results in strong antitumor immunities to inhibit the growth of distant tumors left behind after PDT treatment. Furthermore, such a cancer immunotherapy strategy has a long-term immune memory function to protect treated mice from tumor cell rechallenge. This work presents an immune-stimulating UCNP-based PDT strategy in combination with CTLA-4 checkpoint blockade to effectively destroy primary tumors under light exposure, inhibit distant tumors that can hardly be reached by light, and prevent tumor reoccurrence via the immune memory effect.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The blockade of immune checkpoints in cancer immunotherapy
Pardoll, D. M. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3239 · Cited by 13,838
Microenvironmental regulation of tumor progression and metastasis
Quail, D. F., & Joyce, J. A. (2013) · Nature Medicine · doi:10.1038/nm.3394 · Cited by 7,994
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
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
Sakaguchi, S. (2005) · Nature Immunology · doi:10.1038/ni1178 · Cited by 2,669
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
Rare-Earth Doping in Nanostructured Inorganic Materials
Zheng, B., Fan, J., Chen, B., Qin, X., Wang, J., Wang, F., Deng, R., & Liu, X. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00644 · Cited by 1,204
Cancer nanomedicine for combination cancer immunotherapy
Nam, J., Son, S., Park, K. S., Zou, W., Shea, L. D., & Moon, J. J. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0108-1 · Cited by 940
Yue, W., Chen, L., Yu, L., Zhou, B., Yin, H., Ren, W., Liu, C., Guo, L., Zhang, Y., Sun, L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09760-3 · Cited by 590
Yang, B., Chen, Y., & Shi, J. (2019) · Advanced Materials · doi:10.1002/adma.201901778 · Cited by 601
Xu, J., Lv, J., Zhuang, Q., Yang, Z., Cao, Z., Xu, L., Pei, P., Wang, C., Wu, H., Dong, Z., et al. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-00781-4 · Cited by 561
Self-citation
Metadata
- Authors
- Xu, J., Xu, L., Wang, C., Yang, R., Zhuang, Q., Han, X., Dong, Z., Zhu, W., Peng, R., & Liu, Z.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-04-21
- Volume
- 11
- Issue
- 5
- Pages
- 4463-4474
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2603827936
- Cited by
- 695
- References
- 8
- FWCI
- 34.92
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.