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Induction of Tumor Immunity by Photodynamic Therapy

KORBELIK, MLADEN·1996·Journal of Clinical Laser Medicine & Surgery

Abstract

The mechanism of tumor destruction by photodynamic therapy (PDT) incorporates a variety of events leading to inactivation of tumor cells. The unique feature of PDT is the mobilization of the host to participate in the eradication of treated cancer. A critical element is the induced inflammation at the treated site associated with massive invasion of activated myeloid cells. In addition to further destruction of cancer cells, conditions are created for the presentation of tumor antigens with subsequent activation of lymphoid cells, leading to tumor-specific immunity. This inflammation-primed immune development process results in generation of tumor-specific immune memory cells that appear to be elicited against both strongly and poorly immunogenic PDT-treated cancers. Once generated by PDT, it is conceivable that these immune cells (especially if further expanded and activated by adjuvant immunotherapy) can be engaged in additional eradication of disseminated and/or metastatic lesions of the same cancer. A number of immunotherapy regimens have already been proven effective in enhancing the curative effect of PDT with various animal tumor models. Inflamed cancerous tissue at the PDT-treated site appears to exert powerful attracting signals for immune cells activated by different immunotherapy regimens.

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Metadata

Authors
KORBELIK, M.
Venue
Journal of Clinical Laser Medicine & Surgery
Published
1996-10
Volume
14
Issue
5
Pages
329-334
ISSN
  • 1044-5471 (ISSN-L)
  • 1557-8089
OpenAlex
W60206895
Cited by
256
References
0
FWCI
6.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Induction of Tumor Immunity by Photodynamic Therapy. https://app.cochat.ai/papers/10.1089/clm.1996.14.329
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KORBELIK, M. (1996). Induction of Tumor Immunity by Photodynamic Therapy. Journal of Clinical Laser Medicine & Surgery. https://doi.org/10.1089/clm.1996.14.329

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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.