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Cited by 268

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

The Current Status of Photodynamic Therapy in Cancer Treatment

Open access
Jiang, Wenqi, Liang, Mingkang, Lei, Qifang, Li, Guangzhi, Wu, Song·2023·Cancers

Abstract

Although we have made great strides in treating deadly diseases over the years, cancer therapy still remains a daunting challenge. Among numerous anticancer methods, photodynamic therapy (PDT), a non-invasive therapeutic approach, has attracted much attention. PDT exhibits outstanding performance in cancer therapy, but some unavoidable disadvantages, including limited light penetration depth, poor tumor selectivity, as well as oxygen dependence, largely limit its therapeutic efficiency for solid tumors treatment. Thus, numerous strategies have gone into overcoming these obstacles, such as exploring new photosensitizers with higher photodynamic conversion efficiency, alleviating tumor hypoxia to fuel the generation of reactive oxygen species (ROS), designing tumor-targeted PS, and applying PDT-based combination strategies. In this review, we briefly summarized the PDT related tumor therapeutic approaches, which are mainly characterized by advanced PSs, these PSs have excellent conversion efficiency and additional refreshing features. We also briefly summarize PDT-based combination therapies with excellent therapeutic effects.

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Crossref · 10.3390/cancers15030585

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Metadata

Authors
Jiang, W., Liang, M., Lei, Q., Li, G., & Wu, S.
Venue
Cancers
Publisher
MDPI AG
Published
2023-01-18
Volume
15
Issue
3
Pages
585
ISSN
2072-6694 (ISSN-L)
OpenAlex
W4317433767
Cited by
268
References
77
FWCI
42.57
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The Current Status of Photodynamic Therapy in Cancer Treatment. https://app.cochat.ai/papers/10.3390/cancers15030585
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Jiang, W., Liang, M., Lei, Q., Li, G., & Wu, S. (2023). The Current Status of Photodynamic Therapy in Cancer Treatment. Cancers. https://doi.org/10.3390/cancers15030585

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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).

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