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Titel: Glioblastoma-derived three-dimensional ex vivo models to evaluate effects and efficacy of Tumor Treating Fields (TTFields)
Autor(en): Nickl, Vera
Schulz, EllinaIn der Gemeinsamen Normdatei der DNB nachschlagen
Salvador, Ellaine Riciel P.In der Gemeinsamen Normdatei der DNB nachschlagen
Trautmann, Laureen
Diener, LeopoldIn der Gemeinsamen Normdatei der DNB nachschlagen
Keßler, Almuth FriederikeIn der Gemeinsamen Normdatei der DNB nachschlagen
Monoranu, Camelia MariaIn der Gemeinsamen Normdatei der DNB nachschlagen
Dehghani, FaramarzIn der Gemeinsamen Normdatei der DNB nachschlagen
Ernestus, Ralf-Ingo
Löhr, MarioIn der Gemeinsamen Normdatei der DNB nachschlagen
Hagemann, CarstenIn der Gemeinsamen Normdatei der DNB nachschlagen
Erscheinungsdatum: 2022
Art: Artikel
Sprache: Englisch
Zusammenfassung: 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-Publikation
Nutzungslizenz: (CC BY 4.0) Creative Commons Namensnennung 4.0 International(CC BY 4.0) Creative Commons Namensnennung 4.0 International
Journal Titel: Cancers
Verlag: MDPI
Verlagsort: Basel
Band: 14
Heft: 21
Originalveröffentlichung: 10.3390/cancers14215177
Seitenanfang: 1
Seitenende: 16
Enthalten in den Sammlungen:Open Access Publikationen der MLU

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