In Silico Radiation Oncology: A Platform for Understanding Cancer Behavior and Optimizing Radiation Therapy Treatment

Genomics and Proteomics Engineering in Medicine and Biology

Volumn , Issue , 2006, Pages 131-156

  Stamatakos, G ^a   Dionysiou, D ^a   Uzunoglu, N ^a  

^a INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS   (Greece)

Author keywords

In silico radiation oncology; In vivo simulation model novel approach; Paradigm of four dimensional simulation

Indexed keywords

EID: 84889321421     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470052198.ch5     Document Type: Chapter

References (95)

1. H. Lodish, D. Baltimore, A. Berk, S. Zipursky, P. Matsudaira, and J. Darnell, Molecular Cell Biology, Scientific American Books, New York, 1995, pp. 1247-1294.
2. J. Watson, N. Hopkins, J. Roberts, J. Steitz, and A. Weiner, Molecular Biology of the Gene, 4th ed., Benjamin/Cummings Publishing Company, Menlo Park, CA, 1987, pp. 1006-1096.
3. G. Steel (Ed.), Basic Clinical Radiobiology, Arnold, London, 1997, pp. 15, 47-48, 52-57, 123-131, 153, 161.
4. C. Perez and L. Brady, Principles and Practice of Radiation Oncology, Lippincott-Raven, Philadelphia, 1998, pp. 784-785.
5. J. F. Fowler, "Review of radiobiological models for improving cancer treatment," in K. Baier and D. Baltas (Eds.), Modelling in Clinical Radiobiology, Freiburg Oncology Series, Monograph No. 2, Albert-Ludwigs University, Freiburg, Germany, 1997, pp. 1-14.
6. M. Santini, G. Rainaldi and P. Indovina, "Multicellular tumor spheroids in radiation biology," Int. J. Radiat. Biol, 75(7): 787-799, 1999.
7. R. Jostes, M. Williams, M. Barcellos-Hoff, T. Hoshino, and D. Deen, "Growth delay in 9L rat brain tumor spheroids after irradiation with single and split doses of X rays," Radiat. Res., 102(2): 182-189, 1985.
8. J. Casciari, S. Sotirchos, and R. Sutherland, "Variations in tumor cell growth rates and metabolism with oxygen concentration, glucose concentration, and extracellular pH," J. Cell. Physiol., 151: 386-394, 1992.
9. M. Santini and G. Rainaldi, "Three-dimensional spheroid model in tumor biology," Pathobiology, 67: 148-157, 1999.
10. C. Nirmala, J. S. Rao, A. C. Ruifrock, L. A. Langford, and M. Obeyesekere, "Growth characteristics of glioblastoma spheroids," Int. J. Oncol., 19: 1109-1115, 2001.
11. J. P. Freyer and R. M. Sutherland, "Regulation of growth and development of necrosis in EMT6/Ro multicellular spheroids by the glucose and oxygen supply," Cancer Res., 46: 3504-3512, 1986.
12. J. A. Adam and S. A. Maggelakis, "Diffusion regulated growth characteristics of a spherical prevascular carcinoma," Bull. Math. Biol., 52: 549-582, 1990.
13. J. J. Casciari, S. V. Sotirchos, and R. M. Sutherland, "Glucose diffusivity in multicellular tumor spheroids," Cancer Res., 48: 3905-3909, 1988.
14. W. Duechting, "Krebs, ein instabiler Regelkreis.Versuch einer Systemanalyse," Kybernetik, 5(2): 70-77, 1968.
15. R. A. Gatenby, "Models of tumor-host interaction as competing populations: Implications for tumor biology and treatment," J. Theor. Biol., 176: 447-455, 1995.
16. R. Uddin and I. M. Saeed, "Structure and growth of tumors: The effect of Cartesian, cylindrical, and spherical geometries," Ann. Acad. Sci., 858: 127-136, 1998.
17. H. P. Greenspan, "On the growth and stability of cell cultures and solid tumors," J. Theor. Biol., 56: 229-242, 1976.
18. H. Bremermann, "Reliability of proliferation controls. The Hayflick limit and its breakdown in cancer," J. Theor. Biol., 97: 641-662, 1982.
19. R. Demicheli, R. Foroni, A. Ingrosso, G. Pratesi, C. Sorano, and M. Tortoreto, "An exponential-Gompertzian description of LoVo cell tumor growth from in vivo and in vitro data," Cancer Res., 49: 6543-6546, 1989.
20. J. J. Terz, W. Lawrence, Jr., and B. Cox, "Analysis of the cycling and noncycling cell population of human solid tumors," Cancer, 40: 1462-1470, 1977.
21. G. Hejblum, D. Costagliola, A.-J. Valleron, and J.-Y. Mary, "Cell cycle models and mother-daughter correlation," J. Theor. Biol., 131: 255-262, 1988.
22. K. A. Heichman and J. M. Roberts, "Rules to replicate by," Cell, 79: 557-562, 1994.
23. D. Wiarda and C. C. Travis, "Determinability of model parameters in a two-stage deterministic cancer model," Math. Biosci., 146: 1-13, 1997.
24. R. A. Gatenby and E. T. Gawlinski, "A reaction-diffusion model of cancer invasion," Cancer Res., 56: 5745-5753, 1996.
25. K. Iwata, K. Kawasaki, and N. Shigesada, "A dynamical model for the growth and size distribution of multiple metastatic tumors," J. Theor. Biol., 201: 177-186, 2000.
26. A. D. Murray, "Creative blocks: Cell-cycle checkpoints and feedback controls," Nature, 359: 599-604, 1992.
27. I. I. H. Chen and R. L. Prewitt, "A mathematical representation for vessel network," J. Theor. Biol., 97: 211-219, 1982.
28. D. Balding and D. L. S. Mc Elwain, "A mathematical model of tumor-induced capillary growth," J. Theor. Biol., 114: 53-73, 1985.
29. S. Michelson and J. T. Leith, "Possible feedback and angiogenesis in tumor growth control," Bull. Math. Biol., 59: 233-254, 1997.
30. W. Duechting and T. Vogelsaenger, "Three-dimensional pattern generation applied to spheroidal tumor growth in a nutrient medium," Int. J. Biomed. Comput., 12(5): 377-392, 1981.
31. W. Duechting, "Tumor growth simulation," Comput. Graphics, 14: 505-508, 1990.
32. G. Stamatakos, N. Uzunoglu, K. Delibasis, M. Makropoulou, N. Mouravliansky, and A. Marsh, "A simplified simulation model and virtual reality visualization of tumor growth in vitro," Future Generation Computer Systems, 14: 79-89, 1998.
33. G. S. Stamatakos, N. K. Uzunoglu, K. Delibasis, M. Makropoulou, N. Mouravliansky, and A. Marsh, "Coupling parallel computing and the WWW to visualize a simplified simulation of tumor growth in vitro," in H. R. Arabnia (Ed.), Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDTA'98, CSREA Press, Las Vegas, Nevada, 1998, pp. 526-533.
34. G. Stamatakos, N. Uzunoglu, K. Delibasis, N. Mouravliansky, M. Makropoulou, and A. Marsh, "Using VRML in a client-server architecture to visualize a simplified simulation model of tumor growth in vitro," in Proceedings of the Twentieth Annual International Conference-IEEE/EMBS, Hong Kong, 1998, pp. 2834-2837.
35. G. Stamatakos, E. Zacharaki, N. Mouravliansky, K. Delibasis, K. Nikita, N. Uzunoglu, and A. Marsh, "Using Web technologies and meta-computing to visualize a simplified simulation model of tumor growth in vitro," in P. Sloot, M. Bubak, A. Hoekstra, and B. Hertzberger (Eds.), High-Performance Computing and Networking, Lecture Notes in Computer Science, Vol. 1593, Springer, Berlin, 1999, pp. 973-982.
36. G. Stamatakos, E. Zacharaki, M. Makropoulou, N. Mouravliansky, K. Nikita, and N. Uzunoglu, "Tumour growth in vitro and tumor response to irradiation schemes: A simulation model and virtual reality visualization," Radiother. Oncol., 56(1, Suppl.): 179-180, 2000.
37. G. S. Stamatakos, N. K. Uzunoglu, K. Delibasis, N. Mouravliansky, A. Marsh, and M. Makropoulou, "Tumor growth simulation and visualization: A review and a Web based paradigm," Stud. Health Technol. Informatics, 79: 255-274, 2000.
38. T. S. Deisboek, M. E. Berens, A. R. Kansal, S. Torquato, A. O. Stemmer-Rachmamimov, and E. A. Chiocca, "Pattern of self-organization in tumor systems: Complex growth dynamics in a novel brain tumor spheroid model," Cell Prolif., 34: 115-134, 2001.
39. R. Wasserman and R. Acharya, "A patient-specific in vivo tumor model," Math. Biosci., 136: 111-140, 1996.
40. A. R. Kansal, S. Torquato, G. R. Harsh, E. A. Chiocca, and T. S. Deisboeck, "Simulated brain tumor growth dynamics using a three-dimensional cellular automaton," J. Theor. Biol., 203: 367-382, 2000.
41. A. R. Kansal, S. Torquato, G. R. Harsh IV, E. A. Chiocca, and T. S. Deisboeck, "Cellular automaton of idealized brain tumor growth dynamics," BioSystems, 55: 119-127, 2000.
42. G. Stamatakos, D. Dionysiou, N. Mouravliansky, K. Nikita, G. Pissakas, P. Georgolopoulou, and N. Uuznoglu, "Algorithmic description of the biological activity of a solid tumour in vivo," in Proceedings of the EUROSIM 2001 Congress, Delft, The Netherlands, June 26-29, 2001 (CD-ROM Edition).
43. L. Cohen, Biophysical Models in Radiation Oncology, CRC Press, Boca Raton, FL, 1983.
44. W. Sinclair and R. Morton, "X-ray and ultraviolet sensitivity of synchronized Chinese hamster cells at various stages of the cell cycle," Biophys. J., 5: 1-25, 1965.
45. C. J. Gillespie, J. D. Chapman, A. P. Reuvers, and D. L. Dugle, "The inactivation of Chinese hamster cells by X rays: Synchronized and exponential cell populations," Radiat. Res., 64: 353-364, 1975.
46. H. D. Thames, Jr., H. R. Withers, L. J. Peters, and G. H. Fletcher, "Changes in early and late radiation responses with altered dose fractionation: Implications for dose-survival relationships," Int. J. Radiat. Oncol. Biol. Phys., 8: 219-226, 1982.
47. R. G. Dale, "The application of the linear-quadratic dose-effect equation to fractionated and protracted radiotherapy," Br. J. Radiol., 58: 515-528, 1985.
48. H. D. Thames, "An 'incomplete-repair' model for survival after fractionated and continuous irradiations," Int. J. Radiat. Biol., 47: 319-339, 1985.
49. H. D. Thames, M. E. Rozell, S. L. Tucker, K. K. Ang, D. R. Fisher, and E. L. Travis, "Direct analysis of quantal radiation response data," Int. J. Radiat. Oncol. Biol. Phys., 49: 999-1009, 1986.
50. J. Denekamp, "Cell kinetics and radiation biology," Int. J. Radiat. Biol., 49: 357-380, 1986.
51. R. Dale, "The application of the linear-quadratic model to fractionated radiotherapy when there is incomplete normal tissue recovery between fractions, and possible implications for treatments involving multiple fractions per day," Br. J. Radiol., 59: 919-927, 1986.
52. E. L. Travis and S. L. Tucker, "Isoeffect models and fractionated radiation therapy," Int. J. Radiat. Oncol. Biol. Phys., 13: 283-287, 1987.
53. J. F. Fowler, "The linear-quadratic formula and progress in fractionated radiotherapy," Br. J. Radiol., 62: 679-694, 1989.
54. L. E. Dillehay, "A model of cell killing by low-dose-rate radiation including repair of sublethal damage, G2 block, and cell division," Radiat. Res., 124: 201-207, 1990.
55. S. L. Tucker, H. D. Thames, and J. M. G. Taylor, "How well is the probability of tumor cure after fractionated irradiation described by Poisson statistics?" Radiat. Res., 124: 273-282, 1990.
56. D. J. Brenner, "Track structure, lesion development and cell survival," Radiat. Res., 124: S29-S37, 1990.
57. H. D. Thames, S. M. Bentzen, I. Turesson, M. Overgaard, and W. Van de Bogaert, "Time-dose factors in radiotherapy: A review of the human data," Radiother. Oncol., 19: 219-235, 1990.
58. J. Chen, J. Van de Geijn, and T. Goffman, "Extra lethal damage due to residual incompletely repaired sublethal damage in hyperfractionated and continuous radiation treatments," Med. Phys., 18: 488-496, 1991.
59. H. D. Thames, T. E. Schultheiss, J. H. Hendry, S. L. Tucker, B. M. Dubray, and W. A. Brock, "Can modest escalations of dose be detected as increased tumor control?" Int. J. Radiat. Oncol. Biol. Phys., 22: 241-246, 1992.
60. M. Zaider and G. N. Minerbo, "A mathematical model for cell cycle progression under continuous low-dose-rate irradiation," Radiat. Res., 133: 20-26, 1993.
61. H. R. Withers, "Biologic basis of radiation therapy," in C. A. Perez and L. W. Brady (Eds.), Principles and Practice of Radiation Oncology, 2nd ed., J. P. Lippincott, New York, 1992, pp. 64-96.
62. B. Jones and R. Dale, "Mathematical models of tumor and normal tissue response," Acta Oncol., 38: 883-893, 1999.
63. T. E. Wheldon, A. S. Michalowski, and J. Kirk, "The effect of irradiation on function in self-renewing normal tissues with differing proliferative organisation," Br. J. Radiol., 55: 759-766, 1982.
64. D. A. Haas-Kogan, G. Yount, M. Haas, D. Levi, S. S. Kogan, L. Hu, C. Vidair, D. F. Deen, W. C. Dewey, and M. A. Israel, "p53-dependent G1 arrest and p53 independent apoptosis influence the radiobiologic response of glioblastoma," Int. J. Radiat. Oncol. Biol. Phys., 36(1): 95-103, 1996.
65. J. C. Panetta, "A mathematical model of periodically pulsed chemotherapy: Tumor recurrence and metastasis in a competitive environment," Bull. Mat. Biol., 58: 425-447, 1996.
66. D. A. Cameron, W. M. Gregory, A. Bowman, and R. C. F. Leonard, "Mathematical modelling of tumor response in primary breast cancer," Br. J. Cancer, 73: 1409-1416, 1996.
67. T. Ginsberg, "Modellierung und Simulation der Proliferationsregulation und Strahlentherapie normaler und maligner Gewebe," Fortschritt-Berichte, VDI Verlag, Reihe 17:Biotechnik, Nr. 140, Dusseldorf, 1996.
68. A. Nahum and B. Sanchez-Nieto, "Tumour control probability modelling: Basic principles and applications in treatment planning," Phys. Med., 17(xvii, Suppl. 2): 13-23, 2001.
69. W. Duechting, W. Ulmer, R. Lehrig, T. Ginsberg, and E. Dedeleit, "Computer simulation and modelling of tumor spheroid growth and their relevance for optimization of fractionated radiotherapy," Strahlenther. Onkol., 168(6): 354-360, 1992.
70. W. Duechting, T. Ginsberg, and W. Ulmer, "Modeling of radiogenic responses induced by fractionated irradiation in malignant and normal tissue," Stem Cells, 13(Suppl. 1): 301-306, 1995.
71. G. Stamatakos, E. Zacharaki, M. Makropoulou, N. Mouravliansky, A. Marsh, K. Nikita, and N. Uzunoglu, "Modeling tumor growth and irradiation response in vitro-a combination of high-performance computing and web based technologies including VRML visualization," IEEE Trans. Inform. Technol. Biomed., 5(4): 279-289, 2001.
72. G. Stamatakos, E. I. Zacharaki, N. K. Uzunoglu, and K. S. Nikita, "Tumor growth and response to irradiation in vitro: A technologically advanced simulation model," Int. J. Radiat. Oncol. Biol. Phys., 51(Suppl. 1): 240-241, 2001.
73. G. Stamatakos, D. Dionysiou, K. Nikita, N. Zamboglou, D. Baltas, G. Pissakas, and N. K. Uzunoglu, "In vivo tumor growth and response to radiation therapy: A novel algorithmic description," Int. J. Radiat. Oncol. Biol. Phys., 51(3, Suppl. 1): 240, 2001.
74. D. Dionysiou, G. Stamatakos, N. Uzunoglu, and K. Nikita, "Simulation of solid tumor growth in vivo and tumor response to radiation therapy," Abstracts of the Fifth International Workshop on Mathematical Methods in Scattering Theory and Biomedical Technology, Corfu, Greece, October 18-19, 2001.
75. G. Stamatakos, D. Dionysiou, E. Zacharaki, N. Mouravliansky, K. Nikita, and N. Uzunoglu, "In silico radiation oncology: Combining novel simulation algorithms with current visualization techniques," Proc. IEEE, 90(11): 1764-1777, Special Issue on "Bioinformatics: Advances and Challenges," November 2002.
76. M. Kocher and H. Treuer, "Reoxygenation of hypoxic cells by tumor shrinkage during irradiation. A computer simulation," Strahlenther. Onkol., 171: 219-230, 1995.
77. M. Kocher, H. Treuer, J. Voges, M. Hoevels, V. Sturm, and R. P. Mueller, "Computer simulation of cytotoxic and vascular effects of radiosurgery in solid and necrotic brain metastases," Radiother. Oncol., 54: 149-156, 2000.
78. W. Duechting, R. Lehring, G. Rademacher, and W. Ulmer, "Computer simulation of clinical irradiation schemes applied to in vitro tumor spheroids," Strahlenther. Onkol., 165: 873-878, 1989.
79. B. Grant, "Virtual reality gives medicine a powerful new tool," Biophoton. Int., November/ December 1997, pp. 40-45.
80. W. Lorensen and H. Cline, "Marching cubes: High resolution 3D surface construction algorithm," Comput. Graph., 21(3): 163-169, 1987.
81. B. S. Kuszyk, D. R. Ney, and E. K. Fishman, "The current state of the art in three dimensional oncologic imaging: An overview," Int. J. Radiat. Oncol. Biol. Phys., 33: 1029-1039, 1995.
82. W. Duechting, "Computermodelle zur Optimierung der Strahlentherapie," Automatisierungstechnik, 46(11): 546-552, 1998.
83. B. Jones and C. Bleasdale, "Influence of tumour regression and clonogen repopulation on tumour control by brachytherapy," in K. Baier and D. Baltas (Eds.), Modelling in Clinical Radiobiology, Freiburg Oncology Series, Monograph No. 2, Albert-Ludwigs University, Freiburg, Germany, 1997, pp. 116-126.
84. T. Williams and R. Bjerknes, "Stochastic model for abnormal clone spread through epithelial basal layer," Nature, 236: 19-21, 1972.
85. D. D. Dionysiou, N. A. Mouravliansky, G. S. Stamatakos, N. K. Uzunoglu, and N. K. Nikita, "Coupling in silico biology with image processing: New perspectives in tumor growth simulation," in M. H. Hamza, Proceedings of the Third IAESTED International Conference on Visualization, Imaging, and Image Processing, Acta Press, Anaheim, Calgary, Zurich, 2003, pp. 488-493.
86. D. D. Dionysiou, G. S. Stamatakos, N. K. Uzunoglu, K. S. Nikita, and A. Maroli, "After dimensional simulation model of tumor response to radiotherapy involves parametric validation considering radiosensitivity gene profile," J. Theor. Biol., 23: 1-22, 2004.
87. W. Duechting, W. Ulmer, and T. Ginsberg, "Modelling of tumor growth and irradiation," in Proceedings of the Tenth International Conference on the Use of Computers in Radiation Therapy, Manchester, U.K., March 20-24, 1994.
88. D. A. Haas-Kogan, S. S. Kogan, G. L. Yount, J. Hsu, J. M. Haas, D. F. Deen, and M. A. Israel, "p53 function influences the effect of fractionated radiotherapy on glioblastoma tumors," Int. J. Radiat. Oncol. Biol. Phys., 43: 399-403, 1999.
89. B. Hegedues, A. Czirok, I. Fazekas, T. Babel, E. Madarasz, and T. Viscsek, "Locomotion and proliferation of glioblastoma cells in vitro: Statistical evaluation of videomicroscopic observations," J. Neurosurg., 92: 428-434, 2000.
90. B. G. Katzung, Basic and Clinical Pharmacology, 8th ed., Lange Medical Books/ McGraw-Hill, Las Vegas, Nevada, USA, 2001.
91. F. Giangaspero, C. Doglioni, M. T. Rivano, S. Pileri, J. Gerdes, and H. Stein, "Growth fraction in human brain tumors defoned by the monoclonal antibody Ki-67," Acta Neuropathol., 74(2): 179-182, 1987.
92. P. Huang, A. Allam, L. Perez, A. Taghian, J. Freeman, and H. Suit, "The effect of combining recombinant human tumor necrosis factor-alpha with local radiation on tumor control probability of a human glioblastoma multiforme xenograft in nude mice," Int. J. Radiat. Oncol. Biol. Phys., 32(1): 93-98, 1995.
93. M. Nakajima, S. Nakasu, S. Morikawa, and T. Inubushi, "Estimation of volume doubling time and cell loss in an experimental rat glioma model in vivo," Acta Neurochir., 140: 607-613, 1998.
94. S. Tribius, A. Pidel, and D. Casper, "ATM protein expression correlates with radioresistance in primary glioblastoma cells in culture," Int. J. Radiat. Oncol. Biol. Phys., 50: 511-523, 2001.
95. BAX expression," Proceedings of the National Academy of Sciences, (PNAS), 95(24): 14453-14458, 1998.