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Perin, Andrea (2018) A driver-passenger stochastic model for cancer progression. [Laurea triennale]

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Abstract

Cancer progression is determined by the accumulation of a number of key mutations. These can be coarsely divided into driver and passenger mutations; this distinction is made on behalf of their effect on the cell's fitness. Advantageous mutations, which confer the cancer cell its hallmark features, are called driver, whereas mutations with neutral or deleterious effects are called passenger mutations. In this thesis, we focus on a stochastic model for cancer progression, based on the distinction between types of mutation. The key traits of such a model seem to be similar to those observed in cancer. We then model a network, loosely based on multiple myeloma bone disease, on which we study how a cancer population, the likes of which have been studied in the first part, evolves while interacting with healthy tissues.

Item Type:Laurea triennale
Corsi di Laurea Triennale:Scuola di Scienze > Fisica
Uncontrolled Keywords:cancer progression, stochastic simulations, driver/passenger mutations, multiple myeloma bone disease
Subjects:Area 02 - Scienze fisiche > FIS/07 Fisica applicata (a beni culturali, ambientali, biologia e medicina)
Codice ID:61214
Relatore:Formentin, Marco
Correlatore:Tovo, Anna
Data della tesi:July 2018
Biblioteca:Polo di Scienze > Dip. Fisica e Astronomia "Galileo Galilei" - Biblioteca
Tipo di fruizione per il documento:on-line per i full-text
Tesi sperimentale (Si) o compilativa (No)?:No

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