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  Photodynamic Opening of the Blood–Brain Barrier and the Meningeal Lymphatic System: The New Niche in Immunotherapy for Brain Tumors

Semyachkina-Glushkovskaya, O., Terskov, A., Khorovodov, A., Telnova, V., Blokhina, I., Saranceva, E., Kurths, J. (2022): Photodynamic Opening of the Blood–Brain Barrier and the Meningeal Lymphatic System: The New Niche in Immunotherapy for Brain Tumors. - Pharmaceutics, 14, 12, 2612.
https://doi.org/10.3390/pharmaceutics14122612

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_27962 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_27962_1
Genre: Journal Article

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 Creators:
Semyachkina-Glushkovskaya, Oxana1, Author
Terskov, Andrey1, Author
Khorovodov, Alexander1, Author
Telnova, Valeria1, Author
Blokhina, Inna1, Author
Saranceva, Elena1, Author
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Photodynamic therapy (PDT) is a promising add-on therapy to the current standard of care for patients with glioblastoma (GBM). The traditional explanation of the anti-cancer PDT effects involves the PDT-induced generation of a singlet oxygen in the GBM cells, which causes tumor cell death and microvasculature collapse. Recently, new vascular mechanisms of PDT associated with opening of the blood–brain barrier (OBBB) and the activation of functions of the meningeal lymphatic vessels have been discovered. In this review, we highlight the emerging trends and future promises of immunotherapy for brain tumors and discuss PDT-OBBB as a new niche and an important informative platform for the development of innovative pharmacological strategies for the modulation of brain tumor immunity and the improvement of immunotherapy for GBM.

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Language(s): eng - English
 Dates: 2022-11-262022-11-26
 Publication Status: Finally published
 Pages: 17
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/pharmaceutics14122612
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Health
Research topic keyword: Nonlinear Dynamics
Model / method: Nonlinear Data Analysis
Working Group: Network- and machine-learning-based prediction of extreme events
OATYPE: Gold Open Access
 Degree: -

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Title: Pharmaceutics
Source Genre: Journal, SCI, Scopus, oa
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Pages: - Volume / Issue: 14 (12) Sequence Number: 2612 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1999-4923
Publisher: MDPI