Impact of metabolic heterogeneity on tumor growth, invasion, and treatment outcomes.
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Robert J Gillies | Robert A Gatenby | Alexander R A Anderson | Mark Robertson-Tessi | R. Gillies | R. Gatenby | A. Anderson | M. Robertson-Tessi | A. Anderson
[1] Jacob G Scott,et al. Microenvironmental variables must influence intrinsic phenotypic parameters of cancer stem cells to affect tumourigenicity , 2014, PLoS Comput. Biol..
[2] K. Schaller,et al. 'Go or grow': the key to the emergence of invasion in tumour progression? , 2012, Mathematical medicine and biology : a journal of the IMA.
[3] P. Vaupel,et al. Glucose uptake, lactate release, ketone body turnover, metabolic micromilieu, and pH distributions in human breast cancer xenografts in nude rats. , 1988, Cancer research.
[4] C. Maley,et al. Dispersal Evolution in Neoplasms: The Role of Disregulated Metabolism in the Evolution of Cell Motility , 2011, Cancer Prevention Research.
[5] John S. Lowengrub,et al. A New Ghost Cell/Level Set Method for Moving Boundary Problems: Application to Tumor Growth , 2008, J. Sci. Comput..
[6] 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.
[7] M G Nichols,et al. Oxygen diffusion and reaction kinetics in the photodynamic therapy of multicell tumour spheroids. , 1994, Physics in medicine and biology.
[8] A. Anderson,et al. Evolution, regulation and disruption of homeostasis and its role in carcinogenesis , 2010 .
[9] T. Ohtsubo,et al. Acidic environment causes apoptosis by increasing caspase activity , 1999, British Journal of Cancer.
[10] Jacob G. Scott,et al. Mathematical Modeling of the Metastatic Process , 2013, 1305.4622.
[11] P. Okunieff,et al. Blood flow, oxygen and nutrient supply, and metabolic microenvironment of human tumors: a review. , 1989, Cancer research.
[12] P. Gerlee,et al. Diffusion-limited tumour growth: simulations and analysis. , 2010, Mathematical biosciences and engineering : MBE.
[13] S. Torquato,et al. A Cellular Automaton Model for Tumor Dormancy: Emergence of a Proliferative Switch , 2014, PloS one.
[14] Alexander R. A. Anderson,et al. Modelling evolutionary cell behaviour using neural networks: Application to tumour growth , 2009, Biosyst..
[15] K. Groebe,et al. Glucose diffusion coefficients determined from concentration profiles in EMT6 tumor spheroids incubated in radioactively labeled L-glucose. , 1994, Advances in experimental medicine and biology.
[16] V. P. Collins,et al. Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics , 2013, Proceedings of the National Academy of Sciences.
[17] H. Frieboes,et al. An integrated computational/experimental model of tumor invasion. , 2006, Cancer research.
[18] Robert J Gillies,et al. Acidity generated by the tumor microenvironment drives local invasion. , 2013, Cancer research.
[19] Peter Kuhn,et al. Spreaders and sponges define metastasis in lung cancer: a Markov chain Monte Carlo mathematical model. , 2013, Cancer research.
[20] P Hahnfeldt,et al. Migration rules: tumours are conglomerates of self-metastases , 2009, British Journal of Cancer.
[21] A. Anderson,et al. A hybrid mathematical model of solid tumour invasion: the importance of cell adhesion. , 2005, Mathematical medicine and biology : a journal of the IMA.
[22] K. Zierler,et al. Whole body glucose metabolism. , 1999, The American journal of physiology.
[23] L. D. de Pillis,et al. A cellular automata model of tumor-immune system interactions. , 2006, Journal of theoretical biology.
[24] J F Gross,et al. Morphologic and hemodynamic comparison of tumor and healing normal tissue microvasculature. , 1989, International journal of radiation oncology, biology, physics.
[25] K. Macleod,et al. Abstract 3938: BNip3 limits HIF-1α stabilization and metastasis in a mouse model of breast cancer through effects on mitochondrial integrity and ROS generation , 2012 .
[26] Sunwoo Park,et al. A computational approach to resolve cell level contributions to early glandular epithelial cancer progression , 2009, BMC Systems Biology.
[27] Robert A. Weinberg,et al. Metastasis genes: A progression puzzle , 2002, Nature.
[28] Christopher DuBois,et al. A multiple time-scale computational model of a tumor and its micro environment. , 2012, Mathematical biosciences and engineering : MBE.
[29] Sarah DiGiulio. ASCO13: What ‘Building Bridges’ Means for Oncology , 2013 .
[30] M. Chaplain,et al. Continuous and discrete mathematical models of tumor-induced angiogenesis , 1998, Bulletin of mathematical biology.
[31] Salvatore Torquato,et al. Modeling the effects of vasculature evolution on early brain tumor growth. , 2006, Journal of theoretical biology.
[32] Robert Axelrod,et al. Ecological therapy for cancer: defining tumors using an ecosystem paradigm suggests new opportunities for novel cancer treatments. , 2008, Translational oncology.
[33] C. Vogel,et al. Bevacizumab in the Treatment of Metastatic Breast Cancer: Friend or Foe? , 2012, Current Oncology Reports.
[34] J. King,et al. Mathematical modelling of avascular-tumour growth. II: Modelling growth saturation. , 1999, IMA journal of mathematics applied in medicine and biology.
[35] P. Maini,et al. Metabolic changes during carcinogenesis: potential impact on invasiveness. , 2007, Journal of theoretical biology.
[36] A. Anderson,et al. Evolution of cell motility in an individual-based model of tumour growth. , 2009, Journal of theoretical biology.
[37] R. Jain,et al. Intussusceptive microvascular growth in a human colon adenocarcinoma xenograft: a novel mechanism of tumor angiogenesis. , 1996, Microvascular research.
[38] A. Anderson,et al. Senescent fibroblasts in melanoma initiation and progression: an integrated theoretical, experimental, and clinical approach. , 2013, Cancer research.
[39] Gibin G Powathil,et al. Modelling the effects of cell-cycle heterogeneity on the response of a solid tumour to chemotherapy: biological insights from a hybrid multiscale cellular automaton model. , 2012, Journal of theoretical biology.
[40] Robert B. Heckendorn,et al. Cellular automaton simulation examining progenitor hierarchy structure effects on mammary ductal carcinoma in situ. , 2007, Journal of theoretical biology.
[41] Jie H. S. Zhou,et al. Stretched cell cycle model for proliferating lymphocytes , 2014, Proceedings of the National Academy of Sciences.
[42] 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.
[43] P. A. Futreal,et al. Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. , 2012, The New England journal of medicine.
[44] Yi Jiang,et al. A cell-based model exhibiting branching and anastomosis during tumor-induced angiogenesis. , 2007, Biophysical journal.
[45] Alissa M. Weaver,et al. Tumor Morphology and Phenotypic Evolution Driven by Selective Pressure from the Microenvironment , 2006, Cell.
[46] J. Salk. Clonal evolution in cancer , 2010 .
[47] Stephanie Forrest,et al. Modeling Somatic Evolution in Tumorigenesis , 2006, PLoS Comput. Biol..
[48] C. Swanton. Intratumor heterogeneity: evolution through space and time. , 2012, Cancer research.
[49] Steven A. Roberts,et al. Mutational heterogeneity in cancer and the search for new cancer-associated genes , 2013 .
[50] S. V. Sotirchos,et al. Variations in tumor cell growth rates and metabolism with oxygen concentration, glucose concentration, and extracellular pH , 1992, Journal of cellular physiology.
[51] E. T. Gawlinski,et al. A Cellular Automaton Model of Early Tumor Growth and Invasion: The Effects of Native Tissue Vascularity and Increased Anaerobic Tumor Metabolism , 2001 .
[52] A. Anderson,et al. Hybrid models of tumor growth , 2011, Wiley interdisciplinary reviews. Systems biology and medicine.
[53] R. Gillies,et al. Impact of metabolic heterogeneity on tumor growth, invasion, and treatment outcomes , 2016 .
[54] David Basanta,et al. An integrated computational model of the bone microenvironment in bone-metastatic prostate cancer. , 2014, Cancer research.
[55] S Torquato,et al. Emergence of a Subpopulation in a Computational Model of Tumor Growth , 2022 .
[56] R. Jain. Normalization of Tumor Vasculature: An Emerging Concept in Antiangiogenic Therapy , 2005, Science.
[57] Carlo C. Maley,et al. Clonal evolution in cancer , 2012, Nature.
[58] Laura Esserman,et al. Development of a novel method for measuring in vivo breast epithelial cell proliferation in humans , 2005, Breast Cancer Research and Treatment.
[59] Bonnie F. Sloane,et al. Bicarbonate increases tumor pH and inhibits spontaneous metastases. , 2009, Cancer research.
[60] Axel R. Pries,et al. Angiogenesis: An Adaptive Dynamic Biological Patterning Problem , 2013, PLoS Comput. Biol..
[61] D. McElwain,et al. The role of mechanical host-tumour interactions in the collapse of tumour blood vessels and tumour growth dynamics. , 2006, Journal of theoretical biology.
[62] G. Melillo,et al. Overcoming disappointing results with antiangiogenic therapy by targeting hypoxia , 2012, Nature Reviews Clinical Oncology.
[63] Vittorio Cristini,et al. Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): from microscopic measurements to macroscopic predictions of clinical progression. , 2012, Journal of theoretical biology.
[64] B. Grammaticos,et al. A Model for Short- and Long-range Interactions of Migrating Tumour Cell , 2008, Acta biotheoretica.
[65] A. Deutsch,et al. Evolutionary game theory elucidates the role of glycolysis in glioma progression and invasion , 2008, Cell proliferation.
[66] David Basanta,et al. Exploiting ecological principles to better understand cancer progression and treatment , 2013, Interface Focus.
[67] Robert J. Gillies,et al. Multiscale Modelling of Vascular Tumour Growth in 3D: The Roles of Domain Size and Boundary Conditions , 2011, PloS one.
[68] E. T. Gawlinski,et al. Acid-mediated tumor invasion: a multidisciplinary study. , 2006, Cancer research.
[69] P. Maini,et al. Modelling aspects of cancer dynamics: a review , 2006, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[70] Bonnie F. Sloane,et al. Chronic autophagy is a cellular adaptation to tumor acidic pH microenvironments. , 2012, Cancer research.
[71] R. Gillies,et al. A quantitative theoretical model for the development of malignancy in ductal carcinoma in situ. , 2010, Journal of theoretical biology.
[72] Robert J Gillies,et al. Systemic buffers inhibit carcinogenesis in TRAMP mice. , 2012, The Journal of urology.
[73] Steven A. Roberts,et al. Mutational heterogeneity in cancer and the search for new cancer genes , 2014 .
[74] Andreas Deutsch,et al. Computational analysis of the influence of the microenvironment on carcinogenesis. , 2011, Mathematical biosciences.
[75] Philip K Maini,et al. Angiogenesis and vascular remodelling in normal and cancerous tissues , 2009, Journal of mathematical biology.
[76] S. Jonathan Chapman,et al. Mathematical Models of Avascular Tumor Growth , 2007, SIAM Rev..
[77] Glen E. P. Ropella,et al. Essential operating principles for tumor spheroid growth , 2008, BMC Systems Biology.