Homeostasis Back and Forth: An Eco-Evolutionary Perspective of Cancer
暂无分享,去创建一个
[1] Danny R. Welch. Tumor Heterogeneity--A 'Contemporary Concept' Founded on Historical Insights and Predictions. , 2016, Cancer research.
[2] Andreas Deutsch,et al. Computational analysis of the influence of the microenvironment on carcinogenesis. , 2011, Mathematical biosciences.
[3] W. Pao,et al. Evolutionary Modeling of Combination Treatment Strategies To Overcome Resistance to Tyrosine Kinase Inhibitors in Non-Small Cell Lung Cancer , 2011, Molecular pharmaceutics.
[4] Philipp M. Altrock,et al. The mathematics of cancer: integrating quantitative models , 2015, Nature Reviews Cancer.
[5] Paolo P. Provenzano,et al. Hyaluronan, fluid pressure, and stromal resistance in pancreas cancer , 2013, British Journal of Cancer.
[6] P. A. Futreal,et al. Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. , 2012, The New England journal of medicine.
[7] N. Komarova. Spatial interactions and cooperation can change the speed of evolution of complex phenotypes , 2014, Proceedings of the National Academy of Sciences.
[8] B. Ross,et al. Mathematical Modeling of PDGF-Driven Glioblastoma Reveals Optimized Radiation Dosing Schedules , 2014, Cell.
[9] S. Schuster,et al. Evolutionary game theory: cells as players. , 2014, Molecular bioSystems.
[10] Z. Werb,et al. The extracellular matrix: A dynamic niche in cancer progression , 2012, The Journal of cell biology.
[11] M. Robertson-Tessi,et al. Big Bang and context-driven collapse , 2015, Nature Genetics.
[12] R. Gatenby,et al. Evolutionary Ecology of Organs: A Missing Link in Cancer Development? , 2016, Trends in cancer.
[13] Carlo C. Maley,et al. Clonal evolution in cancer , 2012, Nature.
[14] Kristin R. Swanson,et al. Patient-Specific Metrics of Invasiveness Reveal Significant Prognostic Benefit of Resection in a Predictable Subset of Gliomas , 2014, PloS one.
[15] David Basanta,et al. Edge effects in game-theoretic dynamics of spatially structured tumours , 2013, Journal of The Royal Society Interface.
[16] S. Carpenter,et al. Anticipating Critical Transitions , 2012, Science.
[17] W. F. Bodmer,et al. Modelling the consequences of interactions between tumour cells. , 1997, British Journal of Cancer.
[18] Joel s. Brown,et al. Darwinian Dynamics of Intratumoral Heterogeneity: Not Solely Random Mutations but Also Variable Environmental Selection Forces. , 2016, Cancer research.
[19] David Basanta,et al. An integrated computational model of the bone microenvironment in bone-metastatic prostate cancer. , 2014, Cancer research.
[20] G. Melillo,et al. Overcoming disappointing results with antiangiogenic therapy by targeting hypoxia , 2012, Nature Reviews Clinical Oncology.
[21] L. Coussens,et al. Immune response to cancer therapy: mounting an effective antitumor response and mechanisms of resistance. , 2015, Trends in cancer.
[22] Y. Iwasa,et al. Evolutionary Dynamics of Intratumor Heterogeneity , 2011, PloS one.
[23] Ann-Marie Baker,et al. Tumour Cell Heterogeneity , 2016, F1000Research.
[24] Lawrence D True,et al. Sequencing small genomic targets with high efficiency and extreme accuracy , 2015, Nature Methods.
[25] M. Cecchini,et al. Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease , 2016, Scientific Reports.
[26] Marc J. Williams,et al. Identification of neutral tumor evolution across cancer types , 2016, Nature Genetics.
[27] Alexander G. Fletcher,et al. Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance , 2015, PLoS Comput. Biol..
[28] M. Nowak,et al. Dynamics of cancer progression , 2004, Nature Reviews Cancer.
[29] M. Archetti,et al. Evolutionary game theory of growth factor production: implications for tumour heterogeneity and resistance to therapies , 2013, British Journal of Cancer.
[30] David Basanta,et al. Improving treatment strategies for patients with metastatic castrate resistant prostate cancer through personalized computational modeling , 2014, Clinical & Experimental Metastasis.
[31] C. Logothetis,et al. Osteoblasts in prostate cancer metastasis to bone , 2005, Nature Reviews Cancer.
[32] D. Silbergeld,et al. Gene therapy enhances chemotherapy tolerance and efficacy in glioblastoma patients. , 2014, The Journal of clinical investigation.
[33] David T. W. Jones,et al. Signatures of mutational processes in human cancer , 2013, Nature.
[34] S. Baylin,et al. Cancer epigenetics: tumor heterogeneity, plasticity of stem-like states, and drug resistance. , 2014, Molecular cell.
[35] Mel Greaves,et al. Evolutionary determinants of cancer. , 2015, Cancer discovery.
[36] R. Nielsen. Molecular signatures of natural selection. , 2005, Annual review of genetics.
[37] Robert Axelrod,et al. Ecological therapy for cancer: defining tumors using an ecosystem paradigm suggests new opportunities for novel cancer treatments. , 2008, Translational oncology.
[38] Thea D. Tlsty,et al. Cancer: Whispering sweet somethings , 2008, Nature.
[39] Erik Sahai,et al. Intravital Imaging Reveals How BRAF Inhibition Generates Drug-Tolerant Microenvironments with High Integrin β1/FAK Signaling , 2015, Cancer cell.
[40] David Basanta,et al. The role of transforming growth factor-beta-mediated tumor-stroma interactions in prostate cancer progression: an integrative approach. , 2009, Cancer research.
[41] Caitlin A Stern,et al. Not Just a Theory—The Utility of Mathematical Models in Evolutionary Biology , 2014, PLoS biology.
[42] S. Carpenter,et al. Early-warning signals for critical transitions , 2009, Nature.
[43] K Hendrickson,et al. Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach , 2010, Physics in medicine and biology.
[44] Robert J Gillies,et al. Impact of metabolic heterogeneity on tumor growth, invasion, and treatment outcomes. , 2015, Cancer research.
[45] N. McGranahan,et al. Biological and therapeutic impact of intratumor heterogeneity in cancer evolution. , 2015, Cancer cell.
[46] E. Moros,et al. Abscopal Benefits of Localized Radiotherapy Depend on Activated T-cell Trafficking and Distribution between Metastatic Lesions. , 2016, Cancer research.
[47] R. Gillies,et al. Exploiting evolutionary principles to prolong tumor control in preclinical models of breast cancer , 2016, Science Translational Medicine.
[48] D. Basanta. Cell-cell interactions and evolution using evolutionary game theory , 2015, bioRxiv.
[49] David Basanta,et al. Exploiting ecological principles to better understand cancer progression and treatment , 2013, Interface Focus.
[50] Chris Bakal,et al. Microenvironmental Heterogeneity Parallels Breast Cancer Progression: A Histology–Genomic Integration Analysis , 2016, PLoS medicine.
[51] Nick Jagiella,et al. Estimating Dose Painting Effects in Radiotherapy: A Mathematical Model , 2014, PloS one.
[52] Christophe Trefois,et al. Critical transitions in chronic disease: transferring concepts from ecology to systems medicine. , 2015, Current opinion in biotechnology.
[53] Jacob G. Scott. Phase i trialist. , 2012, The Lancet. Oncology.
[54] G. Mundy. Metastasis: Metastasis to bone: causes, consequences and therapeutic opportunities , 2002, Nature Reviews Cancer.
[55] Asad Shabbir,et al. Biology, ecology and management of the invasive parthenium weed (Parthenium hysterophorus L.). , 2014, Pest management science.
[56] Andreas Deutsch,et al. A Game Theoretical Perspective on the Somatic Evolution of cancer , 2008, 0810.4738.
[57] A. Anderson,et al. Hybrid models of tumor growth , 2011, Wiley interdisciplinary reviews. Systems biology and medicine.
[58] M. Archetti,et al. Heterogeneity for IGF-II production maintained by public goods dynamics in neuroendocrine pancreatic cancer , 2015, Proceedings of the National Academy of Sciences.
[59] N. Fusenig,et al. Friends or foes — bipolar effects of the tumour stroma in cancer , 2004, Nature Reviews Cancer.
[60] Michael P. Schroeder,et al. IntOGen-mutations identifies cancer drivers across tumor types , 2013, Nature Methods.
[61] S. Indraccolo,et al. Metabolic effects of antiangiogenic drugs in tumors: therapeutic implications. , 2014, Biochemical pharmacology.
[62] Steven A. Frank,et al. Nonheritable Cellular Variability Accelerates the Evolutionary Processes of Cancer , 2012, PLoS biology.
[63] J M Smith,et al. Evolution and the theory of games , 1976 .
[64] M. Junttila,et al. Influence of tumour micro-environment heterogeneity on therapeutic response , 2013, Nature.
[65] Joel s. Brown,et al. Why Darwin would have loved evolutionary game theory , 2016, Proceedings of the Royal Society B: Biological Sciences.
[66] R. Gillies,et al. Chronic acidosis in the tumour microenvironment selects for overexpression of LAMP2 in the plasma membrane , 2015, Nature Communications.
[67] W. Möbius,et al. Physical and Mathematical Modeling in Experimental Papers , 2015, Cell.
[68] David Basanta,et al. The Evolution of Robust Development and Homeostasis in Artificial Organisms , 2008, PLoS Comput. Biol..
[69] D. Rowley,et al. The reactive stroma microenvironment and prostate cancer progression. , 2012, Endocrine-related cancer.
[70] C. Curtis,et al. A Big Bang model of human colorectal tumor growth , 2015, Nature Genetics.
[71] Andrea Sottoriva,et al. Cancer Evolution and the Limits of Predictability in Precision Cancer Medicine , 2016, Trends in cancer.
[72] Robert A. Gatenby,et al. Environment-mediated drug resistance: a major contributor to minimal residual disease , 2009, Nature Reviews Cancer.
[73] T. Chan,et al. Immunogenic peptide discovery in cancer genomes. , 2015, Current opinion in genetics & development.
[74] A. Anderson,et al. A hybrid cellular automaton model of clonal evolution in cancer: the emergence of the glycolytic phenotype. , 2008, Journal of theoretical biology.
[75] C. Ponting,et al. Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity , 2015, Nature Methods.
[76] David Basanta,et al. Exploiting evolution to treat drug resistance: combination therapy and the double bind. , 2011, Molecular pharmaceutics.
[77] James G. Dyke,et al. The Emergence of Environmental Homeostasis in Complex Ecosystems , 2013, PLoS Comput. Biol..
[78] Mingming Jia,et al. COSMIC: exploring the world's knowledge of somatic mutations in human cancer , 2014, Nucleic Acids Res..
[79] P. Maini,et al. Mathematical oncology: Cancer summed up , 2003, Nature.
[80] V. Quaranta,et al. Integrative mathematical oncology , 2008, Nature Reviews Cancer.
[81] M. Stratton,et al. Mutational signatures: the patterns of somatic mutations hidden in cancer genomes , 2014, Current opinion in genetics & development.
[82] B. Faubert,et al. Metabolic Heterogeneity in Human Lung Tumors , 2016, Cell.
[83] K. Pienta,et al. Evolution of cooperation among tumor cells , 2006, Proceedings of the National Academy of Sciences.
[84] Jeff Gore,et al. Turning ecology and evolution against cancer , 2014, Nature Reviews Cancer.
[85] Thomas R. Cox,et al. Remodeling and homeostasis of the extracellular matrix: implications for fibrotic diseases and cancer , 2011, Disease Models & Mechanisms.
[86] C. Sotiriou,et al. Adjuvant chemotherapy--yes or no? Prognostic markers in early breast cancer. , 2007, Annals of oncology : official journal of the European Society for Medical Oncology.
[87] Shi-Hua Zhang,et al. Discovery of co-occurring driver pathways in cancer , 2014, BMC Bioinformatics.
[88] Alexander R. A. Anderson,et al. Evolving Homeostatic Tissue Using Genetic Algorithms , 2011, ALIFE.
[89] Brian Bierie,et al. Tumour microenvironment: TGFβ: the molecular Jekyll and Hyde of cancer , 2006, Nature Reviews Cancer.
[90] O. Franco,et al. Perspectives on tissue interactions in development and disease. , 2010, Current molecular medicine.
[91] Alissa M. Weaver,et al. Tumor Morphology and Phenotypic Evolution Driven by Selective Pressure from the Microenvironment , 2006, Cell.
[92] Joshua M. Korn,et al. High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response , 2015, Nature Medicine.
[93] H. Heng,et al. Genetic and epigenetic heterogeneity in cancer: A genome‐centric perspective , 2009, Journal of cellular physiology.
[94] P. Maini,et al. Modelling aspects of cancer dynamics: a review , 2006, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[95] Robert A Gatenby,et al. Cancer treatment as a game: integrating evolutionary game theory into the optimal control of chemotherapy , 2012, Physical biology.
[96] D. Hanahan,et al. Hallmarks of Cancer: The Next Generation , 2011, Cell.
[97] Igor Jurisica,et al. Tumour genomic and microenvironmental heterogeneity for integrated prediction of 5-year biochemical recurrence of prostate cancer: a retrospective cohort study. , 2014, The Lancet. Oncology.
[98] Charles M. Perou,et al. Abstract 4875: Human HER2 and PI3K H1047R cooperate to promote mammary tumorigenesis in vivo , 2012 .
[99] P. Nowell. The clonal evolution of tumor cell populations. , 1976, Science.
[100] T. Kuhn,et al. The Structure of Scientific Revolutions , 1963 .
[101] J. Visvader,et al. Cellular Mechanisms Underlying Intertumoral Heterogeneity. , 2015, Trends in cancer.
[102] A. Deutsch,et al. Evolutionary game theory elucidates the role of glycolysis in glioma progression and invasion , 2008, Cell proliferation.
[103] Natalia L. Komarova,et al. Mathematical Oncology: Using Mathematics to Enable Cancer Discoveries , 2014, Am. Math. Mon..
[104] I. Kareva. What can ecology teach us about cancer? , 2011, Translational oncology.
[105] G. Getz,et al. Tumor cells can follow distinct evolutionary paths to become resistant to epidermal growth factor receptor inhibition , 2016, Nature Medicine.
[106] K. Pienta,et al. Modeling invasion of metastasizing cancer cells to bone marrow utilizing ecological principles , 2011, Theoretical Biology and Medical Modelling.
[107] 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 .
[108] L A Bach,et al. The evolution of n-player cooperation-threshold games and ESS bifurcations. , 2006, Journal of theoretical biology.
[109] Franziska Michor,et al. Evolution of Resistance to Targeted Anti-Cancer Therapies during Continuous and Pulsed Administration Strategies , 2009, PLoS Comput. Biol..
[110] Helga Thorvaldsdóttir,et al. Molecular signatures database (MSigDB) 3.0 , 2011, Bioinform..