Abstract
Radiotherapy can induce DNA damage into cells and trigger the cell cycle arrest and cell apoptosis by regulating the vital genes and their signal pathways. To illustrate the cellular self-defense mechanisms in fighting against genome stresses under radiotherapy, a model of P53 stress response networks is proposed by using the methods with the system biology and cyber-biology at single cell level. The kinetics of Double Strand Breaks (DSBs) generation and repair, ARF and ATM activation, P53-MDM2 feedback regulation, as well as the toxins degradation are presented versus continuous radiation time. The model provides a theoretical framework to illustrate the complicated kinetics in cellular response to acute IR under radiotherapy.
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Wang, X.F., Chen, G.: Complex Networks: Small World, Scale World, Scale Free and Beyond. IEEE Circuits and System Magazine 3(1), 6–21 (2003)
Li, L., Story, M., Legerski, R.: Cellular Responses to Ionizing Radiation Damage. Int. J. Radiat. Oncol. Biol. Phys. 49, 1157–1162 (2001)
Nicolas, M., Toillon, R.A., et al.: NF-κB Modulation and Ionizing Radiation: Mechanisms and Future Directions for Cancer Treatment. Cancer Letters 2(18), 158–168 (2006)
Oren, M.: Decision making by P53: Life, Death and Cancer. Cell Death and Differentiation 10, 431–442 (2003)
Kohn, K.W., Pommier, Y.: Molecular Interaction Map of the P53 and MDM2 Logic Elements, Which Control the Off-On Switch of P53 in Response to DNA Damage. Biochemical and Biophysical Research Communications 331, 816–827 (2005)
Vogelstein, B., Lane, D., Levine, A.J.: Surfing the P53 Network. Nature 8(6810), 307–310 (2000)
Perez, C., Brady, L.: Principles and Practice of Radiation Oncology, pp. 784–785. Lippincott-Raven, Philadelphia (1998)
Tjebbes, G.W.A., Kreijveldb, P.A., et al.: P53 Tumor Suppressor Gene Mutations in Laryngeal Cancer and in Recurrent Disease Following Radiation Therapy. Oral Oncology 38, 296–300 (2002)
Bar-Or, R.L., Maya, R., et al.: Generation of Oscillations by the P53-MDM2 Feedback Loop. Proc. Natl. Acad. Sci. USA 97, 11250–11255 (2000)
Ma, L., Wagner, J., et al.: A Plausible Model for the Digital Response of P53 to DNA Damage. PNAS 2(40), 14266–14271 (2005)
Qi, J.P., Shao, S.H., Shen, Y.Z.: Cellular Responding DNA Damage: An Improved Modeling of P53 Gene Regulatory Networks under Ion Radiation (IR). Applied Mathematics and Computation 205, 73–83 (2008)
Qi, J.P., Shao, S.H., et al.: A Dynamic Model for the P53 Stress Response Networks under Ion Radiation. Amino Acids 33(1), 75–83 (2007)
Qi, J.P., Shao, S.H., et al.: A Mathematical Model of P53 Gene Regulatory Networks under Radiotherapy. Biosystems 90(3), 698–706 (2007)
Lindstrom, M.S., Wiman, K.G.: Myc and E2F1 Induce P53 Through p14ARF-Independent Mechanisms in Human Fibroblasts. Oncogene 22, 4993–5005 (2003)
Cuddihy, A.R., Bristow, R.G.: The P53 Protein Family and Radiation Sensitivity: Yes or no? Cancer and Metastasis Reviews 23, 237–257 (2004)
Ritter, M.A., Gilchrist, K.W., et al.: The Role of P53 in Radiation Therapy Outcomes for Favorable-to-Intermediate-Risk Prostate Cancer T. Radiation Oncology Biol. Phys. 53, 574–580 (2002)
Weller, M.: Predicting Response to Cancer Chemotherapy: The Role of P53. Cell Tissue Res. 292, 435–445 (1998)
Stark, J., Callard, R., Hubank, M.: From the Top Down: Towards a Predictive Biology of Signalling Networks. Trends Biotechnol. 21(7), 290–293 (2003)
Chou, K.C.: Review: Structural Bioinformatics and its Impact to Biomedical Science. Current Medicinal Chemistry 11, 2105–2134 (2004)
Dfichting, W., et al.: Cancer: A Challenge for Control Theory and Computer Modeling. European Journal of Cancar 32, 1283–1295 (1996)
Diichting, W., Ginsberg, T.: Computer Simulation Applied to Radiation Therapy in Cancer Research. Applied mathematics and computation 74, 191–207 (1996)
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Qi, JP., Shao, SH., Shen, YZ. (2009). A Plausible Model for Cellular Self-defense Mechanisms in Response to Continuous Ion Radiation(IR) under Radiotherapy. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2009. Lecture Notes in Computer Science, vol 5754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04070-2_111
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DOI: https://doi.org/10.1007/978-3-642-04070-2_111
Publisher Name: Springer, Berlin, Heidelberg
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