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All issues Volume 7 / No 3 (2012) Math. Model. Nat. Phenom., 7 3 (2012) 186-203 References
Free Access
Issue
Math. Model. Nat. Phenom.
Volume 7, Number 3, 2012
Epidemiology
Page(s) 186 - 203
DOI https://doi.org/10.1051/mmnp/20127312
Published online 06 June 2012
  1. A.K. Abbas, A.H. Lichtman, S. Pillai. Cellular and Molecular Immunology, 6th edn. (Elsevier, 2007). [Google Scholar]
  2. T. Alarcon, H.M. Byrne, P.K. Maini. A multiple scale model for tumor growth, SIAM. Multiscale Model Simul., 3, (2005) 440-475. [Google Scholar]
  3. R. Antia, C.T. Bergstrom, S.S. Pilyugin, S.M. Kaech, R. Ahmed. Models of CD8+ responses : 1. What is the antigen-independent proliferation program, J Theor Biol. 221, (2003) 585-598. [CrossRef] [PubMed] [Google Scholar]
  4. V. Apostolopoulos, C. Osinski, I.F. McKenzie. MUC1 cross-reactive Gal alpha(1,3)Gal antibodies in humans switch immune responses from cellular to humoral, Nat. Med. 4, (1998) 315-320. [CrossRef] [PubMed] [Google Scholar]
  5. T. Barthlott, G. Kassiotis, B. Stockinger. T cell regulation as a side effect of homeostasis and competition, J. Exp. Med. 4, (2003) 451-460. [CrossRef] [Google Scholar]
  6. G.I. Bell. Mathematical Model of Clonal Selection and Antibody Production, Nature, 228, (1970) 739-744. [CrossRef] [PubMed] [Google Scholar]
  7. N. Bellomo, M. Delitala. From the mathematical kinetic, and stochastic game theory to modelling mutations, onset, progression and immune competition of cancer cells, Physics of Life Reviews, 5, (2008) 183-206. [Google Scholar]
  8. G.A. Bocharov. Modelling the Dynamics of LCMV Infection in Mice : Conventional and Exhaustive CTL Responses, J Theor Biol. 192(3), (1998) 283-308. [CrossRef] [PubMed] [Google Scholar]
  9. K. Boggio, G. Nicoletti, E. Di Carlo, F. Cavallo, l. Landuzzi, C. Melani, M. Giovarelli, I. Rossi, P. Nanni, C. De Giovanni, P. Bouchard, S. Wolf, A. Modesti, P. Musiani, P.L. Lollini, M.P. Colombo, G. Forni. Interleukin 12-mediated prevention of spontaneous mammary adenocarcinomas in two lines of Her-2/neu transgenic mice, J Exp Med 188 (1998) 589-596. [CrossRef] [PubMed] [Google Scholar]
  10. F. Castiglione, F. Toschi, M. Bernaschi, S. Succi, R. Benedetti, B. Falini, A. Liso. Computational modeling of the immune response to tumor antigens : implications for vaccination, J Theo Biol, 237(4) (2005) 390-400. [CrossRef] [Google Scholar]
  11. F. Cavallo, R.A. Calogero, G. Forni. Are oncoantigens suitable targets for anti-tumour therapy ?, Nat Rev Cancer 7 (2007) 707-713. [CrossRef] [PubMed] [Google Scholar]
  12. F. Cavallo, C. De Giovanni, P. Nanni, G. Forni, P.L. Lollini. 2011 : the immune hallmarks of cancer, Cancer Immunol Immunother 60 (2011) 319-326. [CrossRef] [PubMed] [Google Scholar]
  13. F. Celada, P.E. Seiden. A computer model of cellular interaction in the immune system Immunol. Today 13, (1992) 56-62. [Google Scholar]
  14. F. Celada, P.E. Seiden. Affinity Maturation and Hypermutation in a Simulation of the Humoral Response, Eur J Immunol., 26, (1996) 1350-1358. [CrossRef] [PubMed] [Google Scholar]
  15. D. Chowdhury, D. Stauffer, P.V. Choudary. A Unified Discrete Model of Immune Response, J Theor Biol. 145, (1990) 207-215. [CrossRef] [PubMed] [Google Scholar]
  16. I.R. Cohen, H. Atlan. Network Regulation of Autoimmunity : An Automation Model, J Autoimmun., 2(5), (1989) 613-625. [CrossRef] [PubMed] [Google Scholar]
  17. C. De Giovanni, G. Nicoletti, L. Landuzzi, A. Astolfi, S. Croci, A. Comes, S. Ferrini, R. Meazza, M. Iezzi, E. Di Carlo, P. Musiani, F. Cavallo, P. Nanni, P.L. Lollini. Immunoprevention of HER-2/neu transgenic mammary carcinoma through an interleukin 12-engineered allogeneic cell vaccine, Cancer Res 64 (2004) 4001-4009. [CrossRef] [PubMed] [Google Scholar]
  18. G.P. Dunn, L.J. Old, R.D. Schreiber. The immunobiology of cancer immunosurveillance and immunoediting, Immunity 21 (2004) 137-148. [CrossRef] [PubMed] [Google Scholar]
  19. S. Feyerabend, S. Stevanovic, C. Gouttefangeas, et al. Novel multi-peptide vaccination in Hla-A2+ hormone sensitive patients with biochemical relapse of prostate cancer, Prostate, 69(9), (2009) 917-927. [CrossRef] [PubMed] [Google Scholar]
  20. O.J. Finn. Cancer immunology, N Engl J Med 358 (2008) 2704-2715. [CrossRef] [PubMed] [Google Scholar]
  21. S. Forrest, Beauchemin. Computer Immunology, Immunol Rev. 216, (2007) 176-197. [PubMed] [Google Scholar]
  22. R.A. Gatenby, P.K. Maini, E.T. Gawlinski. Analysis of tumor as an inverse problem provides a novel theoretical framework for understanding tumor biology and therapy, Appl. Math. Letters, 15, (2002) 339-345. [CrossRef] [Google Scholar]
  23. M. Halling-Brown, F. Pappalardo, N. Rapin, P. Zhang, et al. ImmunoGrid : Towards Agent-based Simulations of the Human Immune System at a Natural Scale, Philosophical Transactions A, 368, (2010) 2799-2815. [CrossRef] [Google Scholar]
  24. M. Jílek, J. Ŝterzl. Model of Differentiation of Immunologically Competent Cell, in Developmental Aspects of Antibody Formation and Structure. (eds.), Academia, Prague, (1970) 963-981. [Google Scholar]
  25. M. Kaufman, J. Urbain, R. Thomas. Towards a Logical Analysis of the Immune Response, J Theor Biol. 114(4), (1985) 527-561. [CrossRef] [PubMed] [Google Scholar]
  26. R.M. Kedl, J.W. Kappler, P. Marrack. Epitope dominance, competition and T cell affinity maturation, Curr. Opin. Immunol. 15 (2003), 120-127. [CrossRef] [PubMed] [Google Scholar]
  27. R.M. Kedl, B.C. Schaefer, J.W. Kappler, P. Marrack. T cells down-modulate peptide-MHC complexes on APCs in vivo, Nat. Immunol. 3, (2002) 27-32. [CrossRef] [PubMed] [Google Scholar]
  28. S. Kim-Schulze, B. Taback, H.L. Kaufman. Cytokine therapy for cancer, Surgical Oncology Clinics of North America, 16(4), (2007) 793-818. [CrossRef] [PubMed] [Google Scholar]
  29. Z. Kirkali, E. T uzel.Systemic therapy of kidney cancer : tyrosine kinase inhibitors antiagiogenesis or IL-2 ?, Future Oncology, vol. 5(6), (2009) 871-888. [CrossRef] [Google Scholar]
  30. P. Klenerman, R.M. Zinkernagel. Original antigenic sin impairs cytotoxic T lymphocyte responses to viruses bearing variant epitopes, Nature 394, (1998) 482-485. [CrossRef] [PubMed] [Google Scholar]
  31. S. Koido, E. Hara, S. Homma, et al. Cancer vaccine by fusions of dendritic and cancer cells, Clinical and Developmental Immunology, 2009 (657369) (2009). [Google Scholar]
  32. C.A. Kruse, L. Cepeda, B. Owens, S.D. Johnson, J. Stears, K.O. Lillehei. Treatment of recurrent glioma with intracav- itary alloreactive cytotoxic T lymphocytes and interleukin-2, Cancer Immunology Immunotherapy, 45(2), (1997) 77-87. [CrossRef] [Google Scholar]
  33. Ha Youn Lee, D.J. Topham, Sung Yong Park, J. Hollenbaugh, et al. Simulation and Prediction of the Adaptive Immune Response to Influenza A Virus Infection, Journal of Virology, 83(14), (2009) 7151-7165. [CrossRef] [PubMed] [Google Scholar]
  34. S. Liang, K. Mozdzanowska, G. Palladino, W. Gerhard. Heterosubtypic immunity to influenza type A virus in mice. Effector mechanisms and their longevity, J. Immunol. 152, (1994) 1653-1661. [PubMed] [Google Scholar]
  35. A. Lin, A. Schildknecht, L.T. Nguyen, P.S. Ohashi. Dendritic cells integrate signals from the tumor micro-environment to modulate immunity and tumor growth, Immunology Letters, 127(2), (2010) 77-84. [CrossRef] [PubMed] [Google Scholar]
  36. J.F. Lynch,. A Logical Characterization of Individual-Based Models, 23rd Annual IEEE Symposium on Logic in Computer Science, (2008) 379-390. [Google Scholar]
  37. P.-L. Lollini, F. Cavallo, P. Nanni, G. Forni. Vaccines for tumour prevention, Nat. Rev. Cancer, 6, (2006) 204-216. [CrossRef] [PubMed] [Google Scholar]
  38. P.L. Lollini, G. Nicoletti, L. Landuzzi, F. Cavallo, G. Forni, C. De Giovanni, P. Nanni. Vaccines and other immunological approaches for cancer immunoprevention, Curr Drug Targets (2010) Epub ahead of print. [Google Scholar]
  39. Y. Louzoun. The evolution of mathematical immunology, Immunological Reviews, 216, (2007) 9-20. [PubMed] [Google Scholar]
  40. P. Manneville and Al. Cellular Automata and Modeling of Complex Physical Systems, Springer Verlag Series in Physics. 46, (1989). [Google Scholar]
  41. A. Mantovani, P. Allavena, A. Sica, F. Balkwill. Cancer- related inflammation, Nature, 454(7203), (2008) 436-444. [CrossRef] [PubMed] [Google Scholar]
  42. D.F. McDermott. Immunotherapy of metastatic renal cell carcinoma, Cancer, 115(10), (2009) 2298-2305. [CrossRef] [PubMed] [Google Scholar]
  43. M. MezÂťard, G. Parisi, M. Virasoro. Spin Glass Theory and Beyond, World Scientific, Singapore (1988). [Google Scholar]
  44. S. Motta, F. Castiglione, P.-L. PLollini, F. Pappalardo. Modelling Vaccination Schedules for a Cancer Immunoprevention Vaccine, Immunome Research, 1 :5, (2005) doi :10.1186/1745-7580-1-5. [Google Scholar]
  45. P. Nanni, G. Nicoletti, C. De Giovanni, L. Landuzzi, E. Di Carlo, F. Cavallo, S.M. Pupa, I. Rossi, M.P. Colombo, C. Ricci, A. Astolfi, P. Musiani, G. Forni, P.L. Lollini. Combined allogeneic tumor cell vaccination and systemi interleukin 12 prevents mammary carcinogenesis in HER-2/neu transgenic mice, J Exp Med 194 (2001) 1195-1205. [CrossRef] [PubMed] [Google Scholar]
  46. P. Nanni, L. Landuzzi, G. Nicoletti, C. De Giovanni, I. Rossi, S. Croci, A. Astolfi, M. Iezzi, E. Di Carlo, P. Musiani, G. Forni, P.L. Lollini. Immunoprevention of mammary carcinoma in HER-2/neu transgenic mice is IFN-gamma and B cell dependent, J Immunol 173 (2004) 2288-2296. [PubMed] [Google Scholar]
  47. P. Nanni, G. Nicoletti, A. Palladini, S. Croci, A. Murgo, A. Antognoli, L. Landuzzi, M. Fabbi, S. Ferrini, P. Musiani, M. Iezzi, C. De Giovanni, P.L. Lollini. Antimetastatic activity of a preventive cancer vaccine, Cancer Res., 67(22), (2007) 11037-11044. [CrossRef] [PubMed] [Google Scholar]
  48. A.U. Neumann. Control of the Immune Response by a Threshold Automata Model on A Lattice, Physica A : Statistical Mechanics and Its Applications, 162, (1989) 1-19. [CrossRef] [Google Scholar]
  49. L. Novellino, C. Castelli, G. Parmiani. A listing of human tumor antigens recognized by T cells, Cancer Immunol Immunother 54 (2005) 187-207. [CrossRef] [PubMed] [Google Scholar]
  50. M.J. Palmowski, E.M. Choi, I.F. Hermans, S.C. Gilbert, J.L. Chen, U. Gileadi, M. Salio, A. Van Pel, S. Man, E. Bonin, P. Liljestrom, P.R. Dunbar, V. Cerundolo. Competition between CTL narrows the immune response induced by prime-boost vaccination protocols, J Immunol. 168, (2002) 4391-4398. [PubMed] [Google Scholar]
  51. A. Palladini, G. Nicoletti, F. Pappalardo, A. Murgo, V. Grosso, V. Stivani, M.L. Ianzano, A. Antognoli, S. Croci, L. Landuzzi, C. De Giovanni, P. Nanni, S. Motta, P.-L. Lollini. In silico modeling and in vivo efficacy of cancer preventive vaccinations, Cancer Research, 70(20), (2010) 7755-7763. [Google Scholar]
  52. F. Pappalardo, F. Castiglione, P.-L. Lollini, S. Motta. Modelling and Simulation of Cancer Immunoprevention Vaccine, Bioinformatics, 21 :12, (2005) 2891-2897. [CrossRef] [PubMed] [Google Scholar]
  53. F. Pappalardo, S. Motta, P.-L. Lollini, E. Mastriani. Analysis of vaccine’s schedules using models, Cellular Immunology, 244, (2006) 137-140. [CrossRef] [PubMed] [Google Scholar]
  54. F. Pappalardo, M.D. Halling-Brown, N. Rapin, P. Zhang, et al. ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design, and optimization, Briefings in Bioinformatics, 10: 3, (2009) 330-340. [CrossRef] [PubMed] [Google Scholar]
  55. F. Pappalardo, M. Pennisi, F. Castiglione, S. Motta. Vaccine protocols optimization : in silico experiences, Biotechnology Advances, 28, (2010) 82-93. [CrossRef] [PubMed] [Google Scholar]
  56. F. 1 Pappalardo, I.M. Forero, M. Pennisi, A. Palazon, I. Melero, S. Motta. SimB16 : modeling the combined anti-tumor effects of anti-CD137 monoclonal antibodies and adoptive T cell therapy against a mouse melanoma model, BMC Cancer, submitted, (2011). [Google Scholar]
  57. C.R. Parish. Cancer immunotherapy : the past, the present and the future, Immunology and Cell Biology, 81(2), (2003) 106-113. [CrossRef] [PubMed] [Google Scholar]
  58. M. Pennisi, F. Pappalardo, A. Palladini, G. Nicoletti, P.Nanni, P.-L. Lollini, S. Motta. Modeling the competition between lung metastases and the immune system using agents, BMC Bioinformatics, 11(Suppl 7) :S13, (2010) doi :10.1186/1471-2105-11-S7-S13. [Google Scholar]
  59. M. Pennisi, C.Bianca, F. Pappalardo, S. Motta. Modeling artificial immunity against mammary carcinoma, Proceedings of the 10th International Conference on Mathematical Methods in Science and Engineering (CMMSE 2010), ISBN 978- 84-613-5510-5, (2010) 753-756. [Google Scholar]
  60. M. Pennisi, C. Bianca, F. Pappalardo, S. Motta. Compartmental mathematical modeling of immune system - melanoma competition, Proceedings of the 10th International Conference on Mathematical Methods in Science and Engineering (CMMSE 2011), ISBN 978-84-614-6167-7, (2011) 930-934. [Google Scholar]
  61. A.S. Perelson, G. Weisbuch. Immunology for physicists. Reviews of Moddern Physics, 69, (1997) 1219-1267. [Google Scholar]
  62. A.M. Smith, A.S. Perelson. Influenza A virus infection kinetics : quantitative data and models, WIREs Syst Biol Med, 3(4), (2011) 429-445. [CrossRef] [Google Scholar]
  63. H. Van Poppel, S. Joniau, S.W. Van Gool. Vaccine therapy in patients with renal cell carcinoma, European Urology, 55(6), (2009) 1333-1344. [CrossRef] [PubMed] [Google Scholar]
  64. J. Rice, S. Buchan, F. Stevenson. Critical components of a DNA fusion vaccine able to induce protective cytotoxic T cells against a single epitope of a tumor antigen, J. Immunol. 169, (2002) 3908-3913. [PubMed] [Google Scholar]
  65. S.A. Rosenberg. Progress in human tumour immunology and immunotherapy, Nature, 411(6835), (2001) 380-384. [CrossRef] [PubMed] [Google Scholar]
  66. S.A. Rosenberg, J.C. Yang, N.P. Restifo. Cancer immunotherapy : moving beyond current vaccines, Nat Med 10 (2004) 909-915. [Google Scholar]
  67. E. Sercarz, A.H. Coons. The Exhaustion of Specific Antibody Producing Capacity During A Secondary Response, In Mechanisms of Immunological Tolerance Conference. (eds.), Academia Prague, (1962) 78-83. [Google Scholar]
  68. H.B. Sieburg. A Logical Dynamic Systems Approach to the Regulation of Antigen-Driven Lymphocyte Stimulation, in Theoretical Immunology : Part I. A. S. Perelson (eds.), (1992) 273-293. [Google Scholar]
  69. D.J. Slamon, W. Godolphin, L.A. Jones, J.A. Holt, S.G. Wong, D.E. Keith, W.J. Levin, S.G. Stuart, J. Udove, A. Ullrich. Studies of the HER-2/neu protooncogene in human breast and ovarian cancer, Science 244 (1989) 707-712. [CrossRef] [PubMed] [Google Scholar]
  70. A.L. Smith, M.E Wikstrom, B. Fazekas de St Groth,. Visualizing T cell competition for peptide/MHC complexes : a specific mechanism to minimize the effect of precursor frequency, Immunity 13, (2000) 783-794. [CrossRef] [PubMed] [Google Scholar]
  71. D. Stauffer, R. Pandey. Immunologically Motivated Simulations of Cellular Automata, Computers in Physics. 6(4), (1992) 404. [Google Scholar]
  72. J. Ŝterzl. Factors Determining the Differentiation Pathways of Immunocompetent Cells, Cold Spring Harb Symp Quant Biol. 32, (1967) 493-506. [CrossRef] [Google Scholar]
  73. B. Stockinger, T. Barthlott, G. Kassiotis. T cell regulation : a special job or everyone’s responsibility ?, Nat. Immunol. 2, (2001) 757-758. [CrossRef] [PubMed] [Google Scholar]
  74. J. Ursini-Siegel, B. Schade, R.D. Cardiff, W.J. Muller. Insights from transgenic mouse models of ERBB2-induced breast cancer, Nat Rev Cancer 7 (2007) 389-397. [CrossRef] [PubMed] [Google Scholar]
  75. K.E. de Visser, E. Eichten, L.M. Coussens. Paradoxical roles of the immune system during cancer development, Nature Reviews Cancer, 6(1), (2006) 24-37. [CrossRef] [PubMed] [Google Scholar]
  76. L.M. Weiner, R. Surana, S. Wang. Monoclonal anti- bodies : versatile platforms for cancer immunotherapy, Nature Reviews Immunology, 10(5), (2010) 317-327. [CrossRef] [PubMed] [Google Scholar]
  77. G. Weisbuch, H. Atlan. Control of the Immune Response, Journal of Physics A : Mathematical and General. 21, (1988) L189-L192. [CrossRef] [Google Scholar]
  78. S. Wolfram. Theory and Applications of Cellular Automata, Redwood City, CA : Addison-Wesley (1986). [Google Scholar]
  79. J.W. Yewdell, J.R. Bennink. Immunodominance in major histocompatibility complex class I-restricted T lymphocyte responses, Annu. Rev. Immunol. 17, (1999) 51-88. [CrossRef] [PubMed] [Google Scholar]

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