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Establishment of a 3D model to characterize the radioresponse of patient-derived glioblastoma cells.
Cancers 15:14 (2023)
Glioblastoma multiforme (GBM) is the most common malignant primary brain tumor in adults. Despite modern, multimodal therapeutic options of surgery, chemotherapy, tumor-treating fields (TTF), and radiotherapy, the 5-year survival is below 10%. In order to develop new therapies, better preclinical models are needed that mimic the complexity of a tumor. In this work, we established a novel three-dimensional (3D) model for patient-derived GBM cell lines. To analyze the volume and growth pattern of primary GBM cells in 3D culture, a CoSeedisTM culture system was used, and radiation sensitivity in comparison to conventional 2D colony formation assay (CFA) was analyzed. Both culture systems revealed a dose-dependent reduction in survival, but the high variance in colony size and shape prevented reliable evaluation of the 2D cultures. In contrast, the size of 3D spheroids could be measured accurately. Immunostaining of spheroids grown in the 3D culture system showed an increase in the DNA double-strand-break marker γH2AX one hour after irradiation. After 24 h, a decrease in DNA damage was observed, indicating active repair mechanisms. In summary, this new translational 3D model may better reflect the tumor complexity and be useful for analyzing the growth, radiosensitivity, and DNA repair of patient-derived GBM cells.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Dna Damage ; Patient-derived Glioblastoma ; Radioresponse ; Radiosensitivity ; Spheroids ; Three-dimensional Cell Culture; Dna-damage; Stem-cells; Drug; Culture; Proliferation; Temozolomide; Spheroids; Survival; Growth
ISSN (print) / ISBN
2072-6694
Journal
Cancers
Quellenangaben
Volume: 15,
Issue: 16,
Article Number: 14
Publisher
MDPI
Publishing Place
St Alban-anlage 66, Ch-4052 Basel, Switzerland
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Radiation Medicine (IRM)
Grants
We thank Olga Seelbach and Marlon Stein for their excellent technical support and Stefan Bartzsch for his excellent mathematical support.