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Human Cancer Cell Radiation Response Investigated through Topological Analysis of 2D Cell Networks
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 expos...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326123/ https://www.ncbi.nlm.nih.gov/pubmed/37093401 http://dx.doi.org/10.1007/s10439-023-03215-z |
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author | Tirinato, Luca Onesto, Valentina Garcia-Calderon, Daniel Pagliari, Francesca Spadea, Maria-Francesca Seco, Joao Gentile, Francesco |
author_facet | Tirinato, Luca Onesto, Valentina Garcia-Calderon, Daniel Pagliari, Francesca Spadea, Maria-Francesca Seco, Joao Gentile, Francesco |
author_sort | Tirinato, Luca |
collection | PubMed |
description | 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). For all considered cell lines, [Formula: see text] for doses higher or equal to 4 Gy, while the sensitivity to the dose varied for different cell lines: T24 cells seem more distinctly affected by the radiation, followed by the H4, H460 and PC3 cells. Results of the work reinforce the view that the characteristics of cancer cells and their response to radiotherapy can be determined by examining their collective behavior—encoded in a few topological parameters—as an alternative to classical clonogenic assays. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10439-023-03215-z. |
format | Online Article Text |
id | pubmed-10326123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-103261232023-07-08 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 Seco, Joao Gentile, Francesco Ann Biomed Eng Original Article 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). For all considered cell lines, [Formula: see text] for doses higher or equal to 4 Gy, while the sensitivity to the dose varied for different cell lines: T24 cells seem more distinctly affected by the radiation, followed by the H4, H460 and PC3 cells. Results of the work reinforce the view that the characteristics of cancer cells and their response to radiotherapy can be determined by examining their collective behavior—encoded in a few topological parameters—as an alternative to classical clonogenic assays. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10439-023-03215-z. Springer International Publishing 2023-04-24 2023 /pmc/articles/PMC10326123/ /pubmed/37093401 http://dx.doi.org/10.1007/s10439-023-03215-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Tirinato, Luca Onesto, Valentina Garcia-Calderon, Daniel Pagliari, Francesca Spadea, Maria-Francesca Seco, Joao Gentile, Francesco Human Cancer Cell Radiation Response Investigated through Topological Analysis of 2D Cell Networks |
title | Human Cancer Cell Radiation Response Investigated through Topological Analysis of 2D Cell Networks |
title_full | Human Cancer Cell Radiation Response Investigated through Topological Analysis of 2D Cell Networks |
title_fullStr | Human Cancer Cell Radiation Response Investigated through Topological Analysis of 2D Cell Networks |
title_full_unstemmed | Human Cancer Cell Radiation Response Investigated through Topological Analysis of 2D Cell Networks |
title_short | Human Cancer Cell Radiation Response Investigated through Topological Analysis of 2D Cell Networks |
title_sort | human cancer cell radiation response investigated through topological analysis of 2d cell networks |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326123/ https://www.ncbi.nlm.nih.gov/pubmed/37093401 http://dx.doi.org/10.1007/s10439-023-03215-z |
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