Metamodeling tumor-immune system interaction, tumor evasion and immunotherapy
暂无分享,去创建一个
[1] D. Cameron,et al. The relative importance of proliferation and cell death in breast cancer growth and response to tamoxifen. , 2001, European journal of cancer.
[2] R Foroni,et al. An exponential-Gompertzian description of LoVo cell tumor growth from in vivo and in vitro data. , 1989, Cancer research.
[3] John B. Collings,et al. The effects of the functional response on the bifurcation behavior of a mite predator–prey interaction model , 1997 .
[4] T. Cheon,et al. 0 30 81 63 v 2 1 1 A ug 2 00 3 Suppression of Ecological Competition by Apex Predator , 2008 .
[5] T. Whiteside,et al. Tumor-induced death of immune cells: its mechanisms and consequences. , 2002, Seminars in cancer biology.
[6] V. Grieneisen,et al. Gompertzian growth pattern correlated with phenotypic organization of colon carcinoma, malignant glioma and non‐small cell lung carcinoma cell lines , 2003, Cell proliferation.
[7] C. Melief,et al. Cancer immunology: Cat and mouse games , 2005, Nature.
[8] Marcin Molski,et al. Coherent states of Gompertzian growth. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[9] Robert N. Hughes,et al. Cancer: Principles and Practice of Oncology , 2005 .
[10] A. Perelson,et al. Nonlinear dynamics of immunogenic tumors: parameter estimation and global bifurcation analysis. , 1994, Bulletin of mathematical biology.
[11] A. Bellouquid,et al. Mathematical methods and tools of kinetic theory towards modelling complex biological systems , 2005 .
[12] Laird Ak. DYNAMICS OF TUMOR GROWTH. , 1964 .
[13] B. Lord,et al. Growth Kinetics of Tumours , 1978, British Journal of Cancer.
[14] H. Shaw,et al. Ultra‐late recurrence (15 years or longer) of cutaneous melanoma , 1998, Cancer.
[15] Taksu Cheon,et al. Evolutionary stability of ecological hierarchy. , 2003, Physical review letters.
[16] U. Veronesi,et al. Oxford textbook of oncology , 1996 .
[17] P. Abrams. The Evolution of Predator-Prey Interactions: Theory and Evidence , 2000 .
[18] H. I. Freedman,et al. A mathematical model of cancer treatment by immunotherapy. , 2000, Mathematical biosciences.
[19] M Tubiana,et al. Measuring progress against cancer in Europe: has the 15% decline targeted for 2000 come about? , 2003, Annals of oncology : official journal of the European Society for Medical Oncology.
[20] P. Maini,et al. Preface: Challenging mathematical problems in cancer modelling , 2007 .
[21] C P Calderón,et al. Modeling tumor growth. , 1991, Mathematical biosciences.
[22] Joseph M Kaminski,et al. Immunotherapy and prostate cancer. , 2003, Cancer treatment reviews.
[23] G. I. Bell,et al. Predator-prey equations simulating an immune response , 1973 .
[24] H. Ortega,et al. Un Modelo Logístico para Crecimiento Tumoral en Presencia de Células Asesinas , 1999 .
[25] A. Brú,et al. The universal dynamics of tumor growth. , 2003, Biophysical journal.
[26] A. d’Onofrio. TUMOR-IMMUNE SYSTEM INTERACTION: MODELING THE TUMOR-STIMULATED PROLIFERATION OF EFFECTORS AND IMMUNOTHERAPY , 2006 .
[27] Christophe Caux,et al. Tumour escape from immune surveillance through dendritic cell inactivation. , 2002, Seminars in cancer biology.
[28] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[29] C. Cannings,et al. Evolutionary Game Theory , 2010 .
[30] Jacek Waniewski,et al. Modelling Tumour-Immunity Interactions With Different Stimulation Functions , 2003 .
[31] N. Rashevsky,et al. Mathematical biology , 1961, Connecticut medicine.
[32] S. Piantadosi,et al. A model of growth with first-order birth and death rates. , 1985, Computers and biomedical research, an international journal.
[33] Magda Galach,et al. DYNAMICS OF THE TUMOR—IMMUNE SYSTEM COMPETITION—THE EFFECT OF TIME DELAY , 2003 .
[34] D. Pardoll,et al. Does the immune system see tumors as foreign or self? , 2003, Annual review of immunology.
[35] H. Bartelink,et al. European Code Against Cancer and scientific justification: third version (2003). , 2003, Annals of oncology : official journal of the European Society for Medical Oncology.
[36] Laird Ak. Dynamics of Tumour Growth , 1964 .
[37] Shigui Ruan,et al. Global Analysis in a Predator-Prey System with Nonmonotonic Functional Response , 2001, SIAM J. Appl. Math..
[38] A. K. Laird. Dynamics of Tumour Growth: Comparison of Growth Rates and Extrapolation of Growth Curve to One Cell , 1965, British Journal of Cancer.
[39] L. Preziosi,et al. Modelling and mathematical problems related to tumor evolution and its interaction with the immune system , 2000 .
[40] M. Burnet. Cancer—A Biological Approach , 1957, British medical journal.
[41] L. D. Pillis,et al. A Validated Mathematical Model of Cell-Mediated Immune Response to Tumor Growth , 2005 .
[42] S. Agarwala,et al. New applications of cancer immunotherapy. , 2002, Seminars in oncology.
[43] M BURNET,et al. Cancer—A Biological Approach* , 1957, British medical journal.
[44] Egbert Oosterwijk,et al. Immunotherapy for renal cell carcinoma. , 2003, European urology.
[45] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[46] A. Ballangrud,et al. Growth and characterization of LNCaP prostate cancer cell spheroids. , 1999, Clinical cancer research : an official journal of the American Association for Cancer Research.
[47] B. Kennedy,et al. Cyclic leukocyte oscillations in chronic myelogenous leukemia during hydroxyurea therapy. , 1970, Blood.
[48] Harold P. de Vladar,et al. Letter to the EditorDynamic response of cancer under the influence of immunological activity and therapy , 2006 .
[49] R. Schreiber,et al. The three Es of cancer immunoediting. , 2004, Annual review of immunology.
[50] Paolo Castorina,et al. Tumor Gompertzian growth by cellular energetic balance , 2004, q-bio/0407018.
[51] F. A. Goswitz,et al. Spontaneous cyclic leukocytosis and thrombocytosis in chronic granulocytic leukemia. , 1972, The New England journal of medicine.
[52] T. Vincent,et al. Evolutionary Game Theory, Natural Selection, and Darwinian Dynamics , 2005 .
[53] E. Afenya,et al. Growth kinetics of cancer cells prior to detection and treatment: An alternative view , 2003 .
[54] Z. Agur,et al. The growth law of primary breast cancer as inferred from mammography screening trials data. , 1998, British Journal of Cancer.
[55] Robert J. Taylor. The evolution of predator-prey systems , 1984 .
[56] A. Lallena,et al. Effect on tumour control of time interval between surgery and postoperative radiotherapy: an empirical approach using Monte Carlo simulation. , 2004, Physics in medicine and biology.
[57] Nicola Bellomo,et al. MATHEMATICAL TOPICS ON THE MODELLING COMPLEX MULTICELLULAR SYSTEMS AND TUMOR IMMUNE CELLS COMPETITION , 2004 .
[58] B Møller,et al. Cancer mortality trends in the EU and acceding countries up to 2015. , 2003, Annals of oncology : official journal of the European Society for Medical Oncology.
[59] Walter G. Gunn. Cancer: Principles and Practice of Oncology , 1982 .
[60] Michio Kondoh,et al. Response to Comment on "Foraging Adaptation and the Relationship Between Food-Web Complexity and Stability" , 2003, Science.
[61] Vinay G. Vaidya,et al. Evaluation of some mathematical models for tumor growth. , 1982, International journal of bio-medical computing.
[62] O. Finn,et al. Activated granulocytes and granulocyte-derived hydrogen peroxide are the underlying mechanism of suppression of t-cell function in advanced cancer patients. , 2001, Cancer research.
[63] D. Kirschner,et al. Modeling immunotherapy of the tumor – immune interaction , 1998, Journal of mathematical biology.
[64] Urszula Foryś,et al. ANTI-TUMOR IMMUNITY AND TUMOR ANTI-IMMUNITY IN A MATHEMATICAL MODEL OF TUMOR IMMUNOTHERAPY , 2006 .
[65] Alberto d’Onofrio,et al. Tumor evasion from immune control: Strategies of a MISS to become a MASS , 2007 .
[66] Z Bajzer,et al. Analysis of growth of multicellular tumour spheroids by mathematical models , 1994, Cell proliferation.
[67] G. D. Knott,et al. Modeling tumor regrowth and immunotherapy , 2001 .
[68] Alberto Gandolfi,et al. Tumour eradication by antiangiogenic therapy: analysis and extensions of the model by Hahnfeldt et al. (1999). , 2004, Mathematical biosciences.
[69] E. Afenya,et al. Diverse ideas on the growth kinetics of disseminated cancer cells , 2000, Bulletin of mathematical biology.
[70] M. Villalobos,et al. Evaluation of the growth rate of MCF‐7 breast cancer multicellular spheroids using three mathematical models , 1994, Cell proliferation.
[71] Effects of ecological differentiation on Lotka-Volterra systems for species with behavioral adaptation and variable growth rates. , 2005, Mathematical biosciences.
[72] M Gyllenberg,et al. Quiescence as an explanation of Gompertzian tumor growth. , 1989, Growth, development, and aging : GDA.
[73] P. Castorina,et al. ENERGETIC MODEL OF TUMOR GROWTH , 2004, q-bio/0412040.
[74] T. Vincent,et al. EVOLUTIONARY DYNAMICS IN CARCINOGENESIS , 2005 .
[75] Zuzanna Szymańska,et al. Analysis of Immunotherapy Models in the Context of Cancer Dynamics , 2003 .
[76] I. Bassukas. Gompertzian re‐evaluation of the growth patterns of transplantable mammary tumours in sialoadenectomized mice , 1994, Cell proliferation.
[77] Kåre Rygaard,et al. Quantitation and Gompertzian analysis of tumor growth , 1997, Breast Cancer Research and Treatment.
[78] A. d’Onofrio. A general framework for modeling tumor-immune system competition and immunotherapy: Mathematical analysis and biomedical inferences , 2005, 1309.3337.
[79] T. Wheldon. Mathematical models in cancer research , 1988 .
[80] D P Fyhrie,et al. Gompertzian growth curves in parathyroid tumours: further evidence for the set‐point hypothesis , 1997, Cell proliferation.
[81] Pier Paolo Delsanto,et al. Does tumor growth follow a "universal law"? , 2003, Journal of theoretical biology.
[82] V. Devita,et al. Cancer : Principles and Practice of Oncology , 1982 .