Publication: Técnicas avanzadas de análisis financiero: aplicación al diagnóstico y pronóstico en oncología clínica
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2017-01-13
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Universidad Complutense de Madrid
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Abstract
La curación de un proceso neoplásico no siempre es posible, por lo que durante las últimas décadas los estudios oncológicos realizados buscaban una mejor comprensión de la naturaleza del cáncer que permitiese obtener para los pacientes supervivencias cada vez mayores. Estos estudios se realizaban con el fin de conseguir técnicas quirúrgicas más depuradas, fármacos más eficaces y con menos efectos adversos, etc. El propósito de esta Tesis Doctoral es ofrecer un marco teórico, novedoso en el campo de la oncología molecular, que haga posible la identificación de genes diana. Se desea aportar una nueva propuesta basándose en los perfiles de expresión4 obtenidos en función de un nuevo parámetro que clasifique los tumores no por su histopatología, fundamento en el que se sustentan las principales clasificaciones tumorales como por ejemplo: Dukes5, Astler y Coller o TNM, sino por la variabilidad en la expresión de los genes. Para abordar esta cuestión, se utiliza uno de los parámetros empleados en la caracterización del riesgo bursátil: la beta de un activo financiero. Se traslada este concepto a la oncología molecular. La identificación de genes se realiza teniendo en cuenta los perfiles de expresión obtenidos en función de las betas de los genes...
The healing of a neoplastic process is not always possible, so during the last decades oncological studies have been seeking for a better understanding of the nature of cancer that allows an increase in patient survival. These studies were performed in order to follow more refined surgical techniques, more effective drugs with fewer adverse effects, etc. Technological progress has contributed in recent years to deepen molecular studies of cancer, allowing genes by filtering and subsequent clustering, identify predictive biomarkers that translate into customized strategies for numerous subtypes of cancers. The purpose of this thesis is to provide a theoretical framework new to the field of molecular oncology, which identifies target genes. It is a new proposal based on the expression profiles1 obtained in terms of a new parameter to classify tumors by histopathology, based on the main classifications such as: Dukes2, and Coller and TNM Astler as well as the variability in expression of genes. Perhaps this new approach can be a contribution in the near future to help explain the reasons why the same treatment in patients with the same tumor stage generates different responses in different patients...
The healing of a neoplastic process is not always possible, so during the last decades oncological studies have been seeking for a better understanding of the nature of cancer that allows an increase in patient survival. These studies were performed in order to follow more refined surgical techniques, more effective drugs with fewer adverse effects, etc. Technological progress has contributed in recent years to deepen molecular studies of cancer, allowing genes by filtering and subsequent clustering, identify predictive biomarkers that translate into customized strategies for numerous subtypes of cancers. The purpose of this thesis is to provide a theoretical framework new to the field of molecular oncology, which identifies target genes. It is a new proposal based on the expression profiles1 obtained in terms of a new parameter to classify tumors by histopathology, based on the main classifications such as: Dukes2, and Coller and TNM Astler as well as the variability in expression of genes. Perhaps this new approach can be a contribution in the near future to help explain the reasons why the same treatment in patients with the same tumor stage generates different responses in different patients...
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Tesis inédita de la Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Departamento de Economía Financiera y Contabilidad III, leída el 21-10-2015