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Cited by 223

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Cell Death Pathways Associated with Photodynamic Therapy: An Update

Open access
Kessel, David, Oleinick, Nancy L.·2018·Photochemistry and Photobiology

Abstract

Photodynamic therapy (PDT) has the potential to make a significant impact on cancer treatment. PDT can sensitize malignant tissues to light, leading to a highly selective effect if an appropriate light dose can be delivered. Variations in light distribution and drug delivery, along with impaired efficacy in hypoxic regions, can reduce the overall tumor response. There is also evidence that malignant cells surviving PDT may become more aggressive than the initial tumor population. Promotion of more effective direct tumor eradication is therefore an important goal. While a list of properties for the “ideal” photosensitizing agent often includes formulation, pharmacologic and photophysical elements, we propose that subcellular targeting is also an important consideration. Perspectives relating to optimizing PDT efficacy are offered here. These relate to death pathways initiated by photodamage to particular subcellular organelles.

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Metadata

Authors
Kessel, D., & Oleinick, N. L.
Venue
Photochemistry and Photobiology
Publisher
Wiley
Published
2018-01-16
Volume
94
Issue
2
Pages
213-218
ISSN
  • 0031-8655 (ISSN-L)
  • 1751-1097
OpenAlex
W2768223134
Cited by
223
References
3
FWCI
12.96
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Cell Death Pathways Associated with Photodynamic Therapy: An Update. https://app.cochat.ai/papers/10.1111/php.12857
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Kessel, D., & Oleinick, N. L. (2018). Cell Death Pathways Associated with Photodynamic Therapy: An Update. Photochemistry and Photobiology. https://doi.org/10.1111/php.12857

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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).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.