Tumors as chaotic attractors.
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[1] K. Polyak,et al. Intra-tumour heterogeneity: a looking glass for cancer? , 2012, Nature Reviews Cancer.
[2] Luke A. Gilbert,et al. DNA Damage-Mediated Induction of a Chemoresistant Niche , 2010, Cell.
[3] R. Solé,et al. Metapopulation dynamics and spatial heterogeneity in cancer , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[4] L. Loeb,et al. A mutator phenotype in cancer. , 2001, Cancer research.
[5] R. Gatenby. A change of strategy in the war on cancer , 2009, Nature.
[6] Olaf Wolkenhauer,et al. Analysis of cell adhesion during early stages of colon cancer based on an extended multi-valued logic approach. , 2012, Molecular bioSystems.
[7] W. Schubert,et al. Analyzing proteome topology and function by automated multidimensional fluorescence microscopy , 2006, Nature Biotechnology.
[8] L. Glass,et al. Chaos in multi-looped negative feedback systems. , 1990, Journal of theoretical biology.
[9] Temple He,et al. Chaos and noise. , 2012, Chaos.
[10] Lars Folke Olsen,et al. Biochemical oscillations and cellular rhythms: The molecular bases of periodic and chaotic behaviour: Albert Goldbeter. Cambridge University Press, Cambridge, 1996. $99.95 (cloth), 605 + xxiv pp , 1997 .
[11] David Liao,et al. Conceptualizing a tool to optimize therapy based on dynamic heterogeneity , 2012, Physical biology.
[12] A. Brú,et al. The universal dynamics of tumor growth. , 2003, Biophysical journal.
[13] Takeshi Takahashi,et al. Autocrine and paracrine loops between cancer cells and macrophages promote lymph node metastasis via CCR4/CCL22 in head and neck squamous cell carcinoma , 2013, International journal of cancer.
[14] A. Dalgleish,et al. The relevance of non-linear mathematics (chaos theory) to the treatment of cancer, the role of the immune response and the potential for vaccines. , 1999, QJM : monthly journal of the Association of Physicians.
[15] Stephanie Forrest,et al. Modeling Somatic Evolution in Tumorigenesis , 2006, PLoS Comput. Biol..
[16] O. Wolkenhauer,et al. Kinetic modeling-based detection of genetic signatures that provide chemoresistance via the E2F1-p73/DNp73-miR-205 network. , 2013, Cancer research.
[17] P. Nowell. The clonal evolution of tumor cell populations. , 1976, Science.
[18] A. Kolmogoroff. Über die analytischen Methoden in der Wahrscheinlichkeitsrechnung , 1931 .
[19] Chaos In Systems With Noise: (2nd Edition) , 1990 .
[20] M. Yamakuchi,et al. miR-34a repression of SIRT1 regulates apoptosis , 2008, Proceedings of the National Academy of Sciences.
[21] Yan Liu,et al. An NF-κB pathway-mediated positive feedback loop amplifies Ras activity to pathological levels in mice. , 2012, The Journal of clinical investigation.
[22] Olaf Wolkenhauer,et al. MicroRNA-regulated networks: the perfect storm for classical molecular biology, the ideal scenario for systems biology. , 2013, Advances in experimental medicine and biology.
[23] C. Maley,et al. Cancer is a disease of clonal evolution within the body1–3. This has profound clinical implications for neoplastic progression, cancer prevention and cancer therapy. Although the idea of cancer as an evolutionary problem , 2006 .
[24] I. Witz. Tumor-microenvironment interactions: dangerous liaisons. , 2008, Advances in cancer research.
[25] F. Takens,et al. On the nature of turbulence , 1971 .
[26] J. Timmer,et al. Design principles of a bacterial signalling network , 2005, Nature.
[27] M. Cross,et al. Pattern formation outside of equilibrium , 1993 .
[28] Katherine C. Chen,et al. Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell. , 2003, Current opinion in cell biology.
[29] Anita B. Roberts,et al. Autocrine growth factors and cancer , 1985, Nature.
[30] A. Oudenaarden,et al. Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences , 2008, Cell.
[31] C. Auffray,et al. The road from systems biology to systems medicine , 2013, Pediatric Research.
[32] C. Holterman,et al. ETS-1 oncogenic activity mediated by transforming growth factor alpha. , 2010, Cancer research.
[33] J. Pollard,et al. A Paracrine Loop between Tumor Cells and Macrophages Is Required for Tumor Cell Migration in Mammary Tumors , 2004, Cancer Research.
[34] C. Iacobuzio-Donahue,et al. Computational Modeling of Pancreatic Cancer Reveals Kinetics of Metastasis Suggesting Optimum Treatment Strategies , 2012, Cell.
[35] A Pilot Clinical Study of Treatment Guided by Personalized Tumorgrafts in Patients with Advanced Cancer , 2011, Molecular Cancer Therapeutics.
[36] Olaf Wolkenhauer,et al. Systems biologists seek fuller integration of systems biology approaches in new cancer research programs. , 2010, Cancer research.
[37] Hiroaki Kitano,et al. Cancer robustness: Tumour tactics , 2003, Nature.
[38] E. Ahmed. Fractals and chaos in cancer models , 1993 .
[39] Olaf Wolkenhauer,et al. A system biology approach to understand functional activity of cell communication systems. , 2008, Methods in cell biology.
[40] Ana M Soto,et al. Theories of carcinogenesis: an emerging perspective. , 2008, Seminars in cancer biology.
[41] K. Loeb,et al. Significance of multiple mutations in cancer. , 2000, Carcinogenesis.
[42] Hartmut Dickhaus,et al. Bridging the scales: semantic integration of quantitative SBML in graphical multi-cellular models and simulations with EPISIM and COPASI , 2013, Bioinform..
[43] A. Brú,et al. Fractal analysis and tumour growth , 2008, Math. Comput. Model..
[44] M. Nowak,et al. Dynamics of cancer progression , 2004, Nature Reviews Cancer.
[45] Alessandra Cucina,et al. A systems biology approach to cancer: fractals, attractors, and nonlinear dynamics. , 2011, Omics : a journal of integrative biology.
[46] T. Vincent,et al. An evolutionary model of carcinogenesis. , 2003, Cancer research.
[47] M. Selbach,et al. Global analysis of cellular protein translation by pulsed SILAC , 2009, Proteomics.
[48] W. Ye,et al. CCL2 mediates cross-talk between cancer cells and stromal fibroblasts that regulates breast cancer stem cells. , 2012, Cancer research.
[49] S. Kauffman,et al. Cancer attractors: a systems view of tumors from a gene network dynamics and developmental perspective. , 2009, Seminars in cell & developmental biology.
[50] D. Hanahan,et al. The Hallmarks of Cancer , 2000, Cell.
[51] L A Aguirre,et al. What can be learned from a chaotic cancer model? , 2013, Journal of theoretical biology.
[52] B. Pützer,et al. E2F1 in melanoma progression and metastasis. , 2010, Journal of the National Cancer Institute.
[53] H. Kitano. Cancer as a robust system: implications for anticancer therapy , 2004, Nature Reviews Cancer.
[54] Stephanie Forrest,et al. Cancer prevention strategies that address the evolutionary dynamics of neoplastic cells: simulating benign cell boosters and selection for chemosensitivity. , 2004, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.
[55] B. Timmermann,et al. The power of NGS technologies to delineate the genome organization in cancer: from mutations to structural variations and epigenetic alterations , 2011, Cancer and Metastasis Reviews.
[56] Carlo C. Maley,et al. Clonal evolution in cancer , 2012, Nature.
[57] Birgit Schoeberl,et al. An activated ErbB3/NRG1 autocrine loop supports in vivo proliferation in ovarian cancer cells. , 2010, Cancer cell.