Cancer as a complex adaptive system : Mathematical models of tumor ecology, evolution and development
Despite decades of scientific effort, cancer remains a major cause of death worldwide. Through the accumulation of genome alterations, tumor populations evolve the capacity to circumvent the selective barriers of tissue homeostasis, eventually adapting to resist therapeutic stress. Furthermore, exte...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/672400 |
| Acceso en línea: | http://hdl.handle.net/10803/672400 |
| Access Level: | acceso abierto |
| Palabra clave: | Cancer complexity Mathematical modeling Genome instability Immunotherapy Differentaiation therapy Complexitat en càncer Modelització matemàtica Inestabilitat genòmica Immunoteràpia Teràpia de diferenciació 616 |
| Sumario: | Despite decades of scientific effort, cancer remains a major cause of death worldwide. Through the accumulation of genome alterations, tumor populations evolve the capacity to circumvent the selective barriers of tissue homeostasis, eventually adapting to resist therapeutic stress. Furthermore, extensive Darwinian evolution is accompanied by an ecological engineering of the surrounding tissue micro-environment together with the alteration of cellular maturation hierarchies. To understand cancer complexity, therefore, we need a picture that spans through the domains of ecology, evolution and development. In an effort to gain understanding of the underlying patterns of treatment resistance, the present PhD thesis introduces a mathematical approach to cancer complexity that takes into account its dynamical nature across these three axes. The resulting modeling endeavor is focused on two major fields of current research: immunotherapy and cancer epigenetics and differentiation, with the aim of providing both treatment design rationale and a comprehensive perspective that merges cancer ecological, evolutionary and developmental complexity. |
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