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Cited by 275

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Tailoring photosensitive ROS for advanced photodynamic therapy

Open access
Sai, Duc Loc, Lee, Jieun, Nguyen, Duc Long, Kim, Young-Pil·2021·Experimental & Molecular Medicine

Abstract

Photodynamic therapy (PDT) has been considered a noninvasive and cost-effective modality for tumor treatment. However, the complexity of tumor microenvironments poses challenges to the implementation of traditional PDT. Here, we review recent advances in PDT to resolve the current problems. Major breakthroughs in PDTs are enabling significant progress in molecular medicine and are interconnected with innovative strategies based on smart bio/nanomaterials or therapeutic insights. We focus on newly developed PDT strategies designed by tailoring photosensitive reactive oxygen species generation, which include the use of proteinaceous photosensitizers, self-illumination, or oxygen-independent approaches. While these updated PDT platforms are expected to enable major advances in cancer treatment, addressing future challenges related to biosafety and target specificity is discussed throughout as a necessary goal to expand the usefulness of PDT.

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Crossref · 10.1038/s12276-021-00599-7

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Metadata

Authors
Sai, D. L., Lee, J., Nguyen, D. L., & Kim, Y.-P.
Venue
Experimental & Molecular Medicine
Published
2021-04
Volume
53
Issue
4
Pages
495-504
ISSN
  • 1226-3613 (ISSN-L)
  • 2092-6413
OpenAlex
W3140383478
Cited by
275
References
7
FWCI
21.56
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Tailoring photosensitive ROS for advanced photodynamic therapy. https://app.cochat.ai/papers/10.1038/s12276-021-00599-7
The paper
Sai, D. L., Lee, J., Nguyen, D. L., & Kim, Y.-P. (2021). Tailoring photosensitive ROS for advanced photodynamic therapy. Experimental & Molecular Medicine. https://doi.org/10.1038/s12276-021-00599-7

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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.