Modeling of Cancer Stem Cell State Transitions Predicts Therapeutic Response

Cancer stem cells (CSCs) possess capacity to both self-renew and generate all cells within a tumor, and are thought to drive tumor recurrence. Targeting the stem cell niche to eradicate CSCs represents an important area of therapeutic development. The complex nature of many interacting elements of t...

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Veröffentlicht in:	PloS one 2015-09, Vol.10 (9), p.e0135797
Hauptverfasser:	Sehl, Mary E, Shimada, Miki, Landeros, Alfonso, Lange, Kenneth, Wicha, Max S
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Allografts Analysis Breast cancer Breast Neoplasms - metabolism Breast Neoplasms - pathology Breast Neoplasms - therapy Cancer Cancer therapies Cancer treatment Carcinogenesis Carcinogens Cell cycle Cell self-renewal Cell Transformation, Neoplastic Complex systems Computer Simulation Cytokines Development and progression Epithelial-Mesenchymal Transition Eradication ErbB-2 protein Feedback loops Female Growth factors Humans Inhibition Interleukin 6 Mathematical models Medicine Mesenchyme Models, Biological Models, Statistical Models, Theoretical Neoplastic Stem Cells - drug effects Neoplastic Stem Cells - metabolism Neoplastic Stem Cells - pathology NF-κB protein Physiological aspects Population Populations Positive feedback Simulation Stat3 protein Stem Cell Niche Stem cell transplantation Stem cells Stochastic models Stochasticity Treatment Outcome Tumor Microenvironment Tumors Xenografts Xenotransplantation
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