Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/110394
Title: Glioblastoma-derived three-dimensional ex vivo models to evaluate effects and efficacy of Tumor Treating Fields (TTFields)
Author(s): Nickl, Vera
Schulz, EllinaLook up in the Integrated Authority File of the German National Library
Salvador, Ellaine Riciel P.Look up in the Integrated Authority File of the German National Library
Trautmann, Laureen
Diener, LeopoldLook up in the Integrated Authority File of the German National Library
Keßler, Almuth FriederikeLook up in the Integrated Authority File of the German National Library
Monoranu, Camelia MariaLook up in the Integrated Authority File of the German National Library
Dehghani, FaramarzLook up in the Integrated Authority File of the German National Library
Ernestus, Ralf-Ingo
Löhr, MarioLook up in the Integrated Authority File of the German National Library
Hagemann, CarstenLook up in the Integrated Authority File of the German National Library
Issue Date: 2022
Type: Article
Language: English
Abstract: Glioblastoma (GBM) displays a wide range of inter- and intra-tumoral heterogeneity contributing to therapeutic resistance and relapse. Although Tumor Treating Fields (TTFields) are effective for the treatment of GBM, there is a lack of ex vivo models to evaluate effects on patients’ tumor biology or to screen patients for treatment efficacy. Thus, we adapted patient-derived three-dimensional tissue culture models to be compatible with TTFields application to tissue culture. Patient-derived primary cells (PDPC) were seeded onto murine organotypic hippocampal slice cultures (OHSC), and microtumor development with and without TTFields at 200 kHz was observed. In addition, organoids were generated from acute material cultured on OHSC and treated with TTFields. Lastly, the effect of TTFields on expression of the Ki67 proliferation marker was evaluated on cultured GBM slices. Microtumors exhibited increased sensitivity towards TTFields compared to monolayer cell cultures. TTFields affected tumor growth and viability, as the size of microtumors and the percentage of Ki67-positive cells decreased after treatment. Nevertheless, variability in the extent of the response was preserved between different patient samples. Therefore, these pre-clinical GBM models could provide snapshots of the tumor to simulate patient treatment response and to investigate molecular mechanisms of response and resistance.
URI: https://opendata.uni-halle.de//handle/1981185920/112349
http://dx.doi.org/10.25673/110394
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Cancers
Publisher: MDPI
Publisher Place: Basel
Volume: 14
Issue: 21
Original Publication: 10.3390/cancers14215177
Page Start: 1
Page End: 16
Appears in Collections:Open Access Publikationen der MLU

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