Abbot, A. (2003). Biology's new dimension. Nature 424(21 August): 870–872.
Article
Google Scholar
Akabani, G., R.E. McLendon, D.D. Bigner and M.R. Zalutsky (2002). Vascular targeted endoradiotherapy of tumors using alpha-particle-emitting compounds: Theoretical analysis. Int. J. Radiation Oncology Biol. Phys. 54(4): 1259–1275.
Article
Google Scholar
Albano, A.M., N.B. Abraham, D.E. Chyba and M. Martelli (1984). Bifurcations, propagating solutions, and phase transitions in a nonlinear chemical reaction with diffusion. Am. J. Phys. 52(2): 161–167.
Article
Google Scholar
Antipas, V.P., G.S. Stamatakos, N.K. Uzunoglu, D.D. Dionysiou and R.G. Dale (2004). A spatio-temporal simulation model of the response of solid tumours to radiotherapy in vivo: Parametric validation concerning oxygen enhancement ratio and cell cycle duration. Phys. Med. Biol. 49: 1485–1504.
Article
Google Scholar
Baucke E., R. Behrends, K. Fuchs, R. Hagen and U. Kaatze (2004). Kinetics of Ca2+ complexation with some carbohydrates in aqueous solutions. J. Chem. Phys. 120(7): 8118–8124.
Article
Google Scholar
Bellomo, N., A. Bellouquid and E. De Angelis (2003a). The modelling of the immune competition by generalized kinetic (Boltzmann) models: Review and research perspectives. Mathl. Comput. Modelling 37(1–2): 65–85.
Article
Google Scholar
Bellomo, N., N. Calander, E. Mamontov and M. Willander (2003b). The generalized-kinetics-based equilibrium distribution function for composite particles, Comptes Rendus Mecanique 331(7): 461–467.
Article
Google Scholar
Bellomo, N. and E. De Angelis (1998). Strategies of applied mathematics towards an immuno-mathematical theory on tumors and immune system interactions. Math. Models Methods Appl. Sci. 8(8): 1403–1429.
Article
Google Scholar
Bellomo, N., B. Firmani and L. Guerri (1999). Bifurcation analysis for a nonlinear system of integro-differential equations modelling tumor-immune cells competition. Appl. Math. Lett. 12(2): 39–44.
Article
Google Scholar
Bellomo, N., E. Mamontov and M. Willander (2003c). The generalized kinetic modelling of a multi-component “real-life” fluid by means of a single distribution function. Mathl Comput. Modelling, 38(5–6): 637–659.
Article
Google Scholar
Bellomo, N. and L. Preziosi (2000). Modelling and mathematical problems related to tumor evolution and its interaction with the immune system. Mathl. Comput. Modelling 32(3–4): 413–452.
Article
Google Scholar
Beltrami, E. and J. Jetsy (1995). Mathematical analysis of activation thresholds in enzyme-catalyzed positive feedbacks: Application to the feedbacks of blood coagulation. Proc. Natl. Acad. Sci. USA 92(19): 8744–8748.
Article
Google Scholar
Bishop, J.M. (1991). Molecular themes in oncogenesis. Cell 64: 235–248.
Article
Google Scholar
Bullough, W.S. (1962). The control of mitotic activity in adult mammalian tissues. Biol. Rev. 37: 307–342.
Google Scholar
Burton, A.C. (1966). Rate of growth of solid tumours as a problem of diffusion. Growth 30: 157–176.
Google Scholar
Campbell, M.K. and S.O. Farrell (2003). Biochemistry. Thomson Learning, Australia.
Google Scholar
Cannon, W.B. (1929). Organization for physiological homeostasis. Physiol. Rev. 9: 399–431.
Google Scholar
Chaplain, M.A.J., M. Ganesh and I.G. Graham (2001). Spatio-temporal pattern formation on spherical surfaces: Numerical simulation and application to solid tumor growth. J. Math. Biol. 42(5): 387–423.
Article
Google Scholar
Chen, K. and K. Aihara (2002). A model of periodic oscillation for genetic regulator systems, IEEE Trans. Circuits and Systems — I: Fundamental Theory and Applications 49: 1429–1436.
Article
Google Scholar
De Angelis, E. and L. Preziosi (2000). Advection-diffusion models for solid tumour evolution in vivo and related free boundary problem. Math. Models Methods Appl. Sci. 10(3): 379–407.
Article
Google Scholar
Demidovič, B.P. (1967). Lectures on the mathematical theory of stability. Nauka. Moscow (In Russian; Mathematical Reviews 1716).
Google Scholar
DePinho, R.A. (2000). The age of cancer. Nature 408: 248–254.
Article
Google Scholar
Dwight, H.B. (1961). Tables of Integrals and Other Mathematical Data. The Macmillan Company, New York.
Google Scholar
Ferreira, S.C., Jr., M.L. Martins and M.J. Vilela (2002). Reaction-diffusion model for the growth of avascular tumor. Phys. Rev. E 65: 021907/1–021907/8.
Google Scholar
Franks, L.M. and N.M. Teich (Eds.) (1997). Introduction to the Cellular and Molecular Biology of Cancer. Oxford Univ. Press, Oxford.
Google Scholar
Freeman, M. (2000). Feedback control of intercellular signalling in development. Nature 408(16 Nov.): 313–319.
Article
Google Scholar
Freidlin, M.I. and A.D. Wentzell (1998). Random Perturbations of Dynamical Systems. Springer-Verlag, New York.
Google Scholar
Gardiner, C.W. (1994). Handbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences. Springer-Verlag, New York.
Google Scholar
Gove, P.B. Ed. (1993). Webster's Third New International Dictionary of the English Language (Unabridged, Utilizing all the experience and resources of more than one hundred years of Merriam-Webster dictionaries). Merriam-Webster, Springfield (MA, USA); 2662 pp., ISBN 3-8290-5292-8.
Google Scholar
Haken, H. (1977). Synergetics — An Introduction. Nonequilibrium Phase Transitions and Self-Organization in Physics. Chemistry and Biology. Springer-Verlag, Berlin.
Google Scholar
Hatzimanikatis, V., K.H. Lee and J.E. Bailey (1999). A mathematical description of regulation of the G1-S transition of the mammalian cell cycle. Biotechnology and Bioengineering 65(6): 631–637.
Article
Google Scholar
Haus, E. and M.H. Smolensky (1999). Biologic rhythms in the immune system. Chronobiology International 16(5): 581–622.
Article
Google Scholar
Hazewinkel, M. (Ed.) (1988a). Encyclopaedia of Mathematics. Vol. 1 — C. Kluwer, Dordrecht.
Google Scholar
Hazewinkel, M. (Ed.) (1988b). Encyclopaedia of Mathematics. Vol. 2 — C. Kluwer, Dordrecht.
Google Scholar
Hughes, L. (2001). AstraZeneca and cancer discovery from a global perspective. Nature 411(6835): 396.
Article
Google Scholar
Israel, L. (1996). Tumor progression: Random mutations or integrated survival response to cellular stress conserved from unicellular organisms. J. Theor. Biol. 178: 375–380.
Article
Google Scholar
Iversen, O.H. (1965). Cybernetic aspects of the cancer problem, In: Progress in Biocybernetics (N. Wiener and J. P. Shade, Eds.). Vol. 2, pp. 76–110. Amsterdam, Elsevier.
Google Scholar
Jiang, Y., J. Pjesivac and J. Freyer (2002). A cellular model for avascular tumor growth. In: Abstracts of ICSB 2002, the 3rd International Conference on System Biology — “The Logic of Life” (December 13-15, 2002, Karolinska Institutet, Stockholm, Sweden), pp. 123–124;http://www.ki.se/icsb2002/abstracts.html.
Kar, S., S.K. Banik and D.S. Ray (2002). Class of self-limiting growth models in the presence of nonlinear diffusion. Phys. Rev. E 65: 061909/1–061909/5.
Article
Google Scholar
Katzung, B.G. (2001). Basic and Clinical Pharmacology. Lange Medical Books/McGraw-Hill, New York.
Google Scholar
Kawai, K., H. Kawamata, S. Kemeyama, A. Rademaker and R. Oyasu (1994). Persistence of carcinogen-altered cell population in rat urothelium which can be promoted to tumors by chronic inflammatory stimulus. Cancer Res. 54(10): 2630–2632.
Google Scholar
Keenan, K.P., U. Saffiotti, S.F. Stinson, C.W. Riggs and E.M. McDowell (1989). Multifactorial hamster respiratory carcinogenesis with interdependent effects of cannula-induced mucosal wounding, saline, ferric oxide, benzo[a]pyrene and N-methyl-N-nitrosourea. Cancer Res. 49(6): 1528–1540.
Google Scholar
Kerbel, R.S., P. Frost, R. Liteplo, D.A. Carlow and B.E. Elliott (1984). Possible epigenic mechanisms of tumor progression: Induction of high-frequency heritable but phenotipically unstable changes in the tumorigenic and metastatic properties of tumor cell populations by 5-azacytidine treatment. J. Cellular Physiology supplement 3: 87–97.
Article
Google Scholar
Kitano, H. (2002). Computational systems biology. Nature 420(14 Nov.): 206–210.
Article
Google Scholar
Kitano, H. (2003). Tumour tactics. Nature 426(13 Nov.): 125.
Article
Google Scholar
Kitazono, A.A., J.N. Fitz Gerald and S.J. Kron (1999). Cell Cycle: Regulation by Cyclins. In: Nature Encyclopedia of Life Sciences, December 1999, London. Nature Publishing Group; http://www.els.net/; [doi:10.1038/npg.els.0001364].
Google Scholar
DeWitt, A., D. Lauffenburger and H.S. Wiley (1999). The effect of cellular parameters on the spatial operation of an autocrine system. In: Proceedings of the 1st Joint BMES/EMBS Conference. Vol. 1, p. 105. New York, IEEE.
Chapter
Google Scholar
Koptioug, A.V. and E. Mamontov (2004). Toward prevention of hyperplasia in oncogeny and other proliferative diseases: The role of the cell genotoxicity in the model-based strategies. In: 7th Ann. Conf. in Göteborg, Sweden, “Functional Genomics — From Birth to Death”, 19–20 August, 2004. Programme and Abstract Book, 1pp. Abstract, Oral Presentation, and Poster. Gothenburg, Gothenburg Univ.; http://funcgenomics.lundberg.gu.se/.
Koptioug, A.V., E. Mamontov, Z. Taib and M. Willander (2004). The phase-transition morphogenic model for oncogeny as a genotoxic homeostatic dysfunction: Interdependence of modeling, advanced measurements, and numerical simulation. In: ICSB2004, 5th Int. Conf. Systems Biology, 9–13 October, 2004, 1 pp. Abstract and Poster. Heidelberg; the PDF file for the poster list can be downloaded at http://www.icsb2004. org/.
Lachenbruch, P.A. and D.R. Brogan (1971). Some distributions on the positive real line which have no moments. The American Statistician 25(1): 46–47.
Article
Google Scholar
Lavagna, C., J.-C. Poirée, S. Fournel and P. Rampal (1999). Purification of a new intestinal anti-proliferative factor from normal human small intestine. Eur. J. Biochem. 259: 821–828.
Article
Google Scholar
Levin, S.A. and L.A. Segel (1985). Pattern generation in space and aspect, SIAM Rev. 27(1): 45–67.
Article
Google Scholar
Lichtenstein, A.V. and L.A. Potapova (2003). Genetic defects as tumor markers. Molecular Biology 37(2): 181–193.
Article
Google Scholar
Life, Death and the Immune System (1993). Special Issue, Scientific American 269(3, September).
Lopez, A.M., M.D. Pegram, D.J. Slamon and E.M. Landaw (1999). A model-based approach for assessing in vivo combination therapy interactions. PNAS 96(23): 13023–13028.
Article
Google Scholar
Malumbers, M. and M. Barbacid (2001). To cycle or not to cycle: A critical decision in cancer. Nature Reviews — Cancer 1(December): 222–231.
Article
Google Scholar
Mamontov, E. (2006). Modelling homeorhesis with ordinary differential equations. Mathl. Comput. Modelling, in press.
Mamontov, E., K. Psiuk-Maksymowicz and A. Koptioug (2006). Stochastic mechanics in the context of the properties of living systems. Mathl. Comput. Modelling 44(7–8): 595–607.
Article
Google Scholar
Mamontov, E. and K. Psiuk-Maksymowicz (2005). On homeorhesis in the modelling living systems with Markov stochastic processes, to be submitted.
Mamontov, E. (2005). A specification of the Maxwell-Rayleigh-Heisenberg approach to modelling fluids for bioelectronic applications. Mathl. Comput. Modelling 42(3–4): 441–470.
Article
Google Scholar
Mamontov, E., Z. Taib, K. Psiuk-Maksymowicz and A.V. Koptioug (2005). The cell-automitogen interpretation and parameter determination of the PhasTraM model, to be submitted.
Mamontov, Y.V. and M. Willander (2001). High-Dimensional Nonlinear Diffusion Stochastic Processes. Modelling for Engineering Applications. World Scientific, Singapore.
Google Scholar
Mamontov, E. and M. Willander (2002). The nonzero minimum of the diffusion parameter and the uncertainty principle for a Brownian particle. Modern Physics Letters B 16(13): 467–471.
Article
Google Scholar
Mamontov, E. and M. Willander (2003). Electrochemical potentials and pressures of biofluids from common experimental data. Acta Biotheoretica 51(3): 173–180.
Article
Google Scholar
Marušić, M., Ž. Bajzer, J.P. Freyer and S. Vuk-Pavlović (1994a). Analysis of growth of multicellular tumour spheroids by mathematical models. Cell Prolif. 27(2): 73–94.
Google Scholar
Marušić, M., Ž. Bajzer, S. Vuk-Pavlović and J.P. Freyer (1994b). Tumor growth in vivo and as multi-cellular spheroids compared by mathematical models. Bull. Math. Biol. 56(4):617–631.
Google Scholar
Massagué, J. (2004). G1 cell-cycle control and cancer. Nature 432(18 November): 298–306.
Article
Google Scholar
Novák, B. and J.J. Tyson (2004). A model for restriction point control of the mammalian cell cycle. J. Theor. Biol. 230: 563–579.
Article
Google Scholar
Ohtsubo, M. and J.M. Roberts (1993). Cyclin-dependent regulation of G1 in mammalian fibroblasts. Science 259(26 March): 1908–1912.
Google Scholar
Panetta P.D., B. Tucker, R.A. Pappas and S. Ahmed (2003). Characterization of solid liquid suspensions utilizing ultrasonic measurements. In: IMTC'03. Ptoc. 20th IEEE Instrumentation and Measurement Conf., Vol. 2 (IEEE, New York), pp. 1263–1268.
Chapter
Google Scholar
Pennisi, E. (2003). Tracing life's circuitry. Science 302(5 Dec.): 1646–1649.
Article
Google Scholar
Pettet, G.J., C.P. Please, M.J. Tindall and D.L.S. McElwain (2001). The migration of cells in multi-cell tumor spheroids. Bulletin of Mathematical Biology 63(2): 231–257.
Article
Google Scholar
Please, C.P., M.J. Tindall and D.L.S. McElwain (2001). The migration of cells in multi-cell tumor spheroids. Bull. Math. Biol. 63: 231–257.
Article
Google Scholar
Potter, V.R. (1945). The role of nutrition in cancer prevention. Science 101(2614): 105–109.
Google Scholar
Psiuk-Maksymowicz, K. and E. Mamontov (2005). The time-slice method for rapid solving the Cauchy problem for nonlinear reaction-diffusion equations in the competition of homeorhesis with genotoxically activated oncogenic hyperplasia. In: The European Conference on Mathematical and Theoretical Biology — ECMTB05, July 18–22, 2005, Book of Abstracts, Vol. 1 (Center for Information Services and High Performance Computing, Dresden University of Technology, Dresden, Germany, 2005); http://www.ecmtb05.org/), p. 429 (abstract for oral presentation).
Psiuk-Maksymowicz, K. and E. Mamontov (2006). The homeorhesis-based modelling and fast numerical analysis for oncogenic hyperplasia under radiotherapy. Submitted.
Rashevsky, N. (1938). An approach to the mathematical biophysics of biological self-regulation and of cell polarity. Acta Biotheoretica 4: 133–153.
Article
Google Scholar
Rashevsky, N. (1940)–(1940a). An approach to the mathematical biophysics of biological self-regulation and of cell polarity, Bull. Math. Biophys. 2: 15-25; (1940b). Further contribution to the theory of cell polarity and self-regulation, Bull. Math. Biophys. 2: 65–67; (1940c). Physicomathematical aspects of some problems of organic form. Bull. Math. Biophys. 2: 109–121.
Article
Google Scholar
Reichl, L.E. (1998). A Modern Course in Statistical Physics. John Wiley & Sons, New York.
Google Scholar
Schlögl, F. (1971). On thermodynamics near a steady state. Zeitschrift für Physik A (Atoms and Nuclei) 248(5): 446–458.
Google Scholar
Schlögl, F. (1972). Chemical reaction models for non-equilibrium phase transitions. Zeitschrift für Physik A (Atoms and Nuclei) 253(2): 147–161.
Google Scholar
Sennaoui A., M. Boynard and C. Pautou (1997). Characterization of red blood cell aggregate formation using an analytical model of the ultrasonic backscattering coefficient. IEEE Trans. Biomed. Engineering 44(7): 585–591.
Article
Google Scholar
Sherr, C.J. (1995). D-type cyclins. Trends in Biochemical Sciences 20(5): 187–190.
Article
Google Scholar
Sherratt, J.A. (1993). Cellular growth control and travelling waves of cancer. SIAM J. Appl. Math. 53(6): 1713–1730.
Article
Google Scholar
Steuer, R. (2004). Effect of stochasticity in models of the cell cycle: From quantized cycle times to noise-induced oscillations. J. Theor. Biol. 228: 293–301.
Article
Google Scholar
Stöcker, S. and M.G. Curci (1998). Modelling and simulating the effect of cytokines on the immune response to tumor cells. Mathl. Comput. Modelling 28(3): 1–13.
Article
Google Scholar
Tan, W.Y. and C.W. Chen (1998). Stochastic modelling of carcinogenesis: Some new insights. Mathl. Comput. Modelling 28(11): 49–71.
Article
Google Scholar
Trosko, J.E., C.C. Chang and B.V. Madhukar (1990). Modulation of intercellular communication during radiation and chemical carcinogenesis. Radiation Research 123(3): 241–251.
Google Scholar
Trosko, J.E. (1996). Role of low-level ionizing radiation in multi-step carcinogenic process. Health Physics 70(6): 812–822.
Google Scholar
Turing, A. (1952). The chemical basis of morphogenesis. Philos. Trans. R. Soc. London, Ser. B 237: 37–72.
Google Scholar
Turing, A. (1992). Morphogenesis. North-Holland Publishing, Amsterdam.
Google Scholar
Ubezio, P. (2004). Unraveling the complexity of cell cycle effects of anticancer drugs in cell populations. Discrete and Continuous Dynamical Systems — Ser. B 4(1): 323–335.
Article
Google Scholar
Vicini, P., M.R. Gastonguay and D.M. Foster (2002). Model-based approaches to biomarker discovery and evaluation: A multidisciplinary integrated review. Critical Reviews in Biomedical Engineering 30(4–6): 379–418.
Google Scholar
Waddington, C.H. (1957). The Strategy of the Genes: A Discussion of Some Aspects of Theoretical Biology. George Allen and Unwin, London.
Google Scholar
Waddington, C.H. (1968). Towards a theoretical biology. Nature 218(May 11): 525–527.
Article
Google Scholar
Ward, J.P. and J.R. King (1997). Mathematical modelling of avascular-tumour growth. IMA J. Mathematics Applied in Medicine and Biology 14: 39–69.
Google Scholar
Ward, J.P. and J.R. King (2003). Mathematical modelling of drug transport in tumour multicell spheroids and monolayer cultures. Mathematical Biosciences 181: 177–207.
Article
Google Scholar
Willander, M., E. Mamontov and Z. Chiragwandi (2004). Modelling living fluids with the subdivision into the components in terms of probability distributions. Math. Models Methods Appl. Sci. 14(10): 1495–1520.
Article
Google Scholar
Yates, F.E. (1979). Physical biology: A basis for modeling living fluids. J. Cybernetics and Information Science 2(2–4): 59–70.
Google Scholar
Yates, F.E. and A.S. Iberall (1982). A skeleton on physical ideas for the dynamics of complex systems. Math. Comput. Simul. 24: 430–436.
Article
Google Scholar