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Human Cancer Cell Radiation Response Investigated through Topological Analysis of 2D Cell Networks

Tirinato, Luca; Onesto, Valentina; Garcia-Calderon, Daniel; Pagliari, Francesca; Spadea, Maria-Francesca 1; Seco, Joao; Gentile, Francesco
1 Institut für Biomedizinische Technik (IBT), Karlsruher Institut für Technologie (KIT)

Abstract:

Clonogenic assays are routinely used to evaluate the response of cancer cells to external radiation fields, assess their radioresistance and radiosensitivity, estimate the performance of radiotherapy. However, classic clonogenic tests focus on the number of colonies forming on a substrate upon exposure to ionizing radiation, and disregard other important characteristics of cells such their ability to generate structures with a certain shape. The radioresistance and radiosensitivity of cancer cells may depend less on the number of cells in a colony and more on the way cells interact to form complex networks. In this study, we have examined whether the topology of 2D cancer-cell graphs is influenced by ionizing radiation. We subjected different cancer cell lines, i.e. H4 epithelial neuroglioma cells, H460 lung cancer cells, PC3 bone metastasis of grade IV of prostate cancer and T24 urinary bladder cancer cells, cultured on planar surfaces, to increasing photon radiation levels up to 6 Gy. Fluorescence images of samples were then processed to determine the topological parameters of the cell-graphs developing over time. We found that the larger the dose, the less uniform the distribution of cells on the substrate—evidenced by high values of small-world coefficient (cc), high values of clustering coefficient (cc), and small values of characteristic path length (cpl). ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000158486
Veröffentlicht am 10.05.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biomedizinische Technik (IBT)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 0090-6964, 0191-5649, 1521-6047, 1521-9686, 1573-9686
KITopen-ID: 1000158486
Erschienen in Annals of Biomedical Engineering
Verlag Springer
Vorab online veröffentlicht am 24.04.2023
Nachgewiesen in Web of Science
Dimensions
Scopus
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