Post-graduate theses
Current Record: 6464 of 6578
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Identifier |
000444154 |
Title |
Cancer as an evolutionary process : Identification and Modeling of driver mutations using computational simulations |
Alternative Title |
Μελέτη του καρκίνου από εξελικτική σκοπιά |
Author
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Δασκαλάκη, Μαρία-Όλγα
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Thesis advisor
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Παυλίδης, Παύλος
Καραλή, Γεωργία
Χαρμανδάρης , Βαγγέλης
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Abstract |
From an evolutionary perspective cancer can be considered as the product of natural
selection within our bodies. Cells can be seen as populations of individuals with
constant cycle of mature, reproduction, mutation and finally death. Under some
probability a mutation with functional impact could lead to fitness advantage of the
cell bearing it, resulting in its constant and uncontrollable division causing its genotype
to be fixed among the whole tissue and the creation of aggressive tumors. The
responsible mutations that drive this uncontrollable proliferation are called driver
mutations. Their identification could lead to targeted therapy contributing both to
the prevention of cancer and the increase in survival chance of a patient. For this
purpose, in this thesis, we created a simulator of cells cycle, based on Wright-Fisher
model of genetic variation. The Wright-Fisher model was expanded using cellular
automata and different fitness functions as a way to depict the environmental
pressures that also affect the cell cycle and consequently its probability of extinction
or fixation. Simulation results were analyzed using both statistical and machine
learning methods in order to study cancer from an evolutionary perspective
by computing metrics of fixation probabilities, needed time for a genotype to be
fixed,competition and tumor size and eventually combine all the above for the construction
of the evolutionary trajectory of each mutation, feature that could be the
factor of characterization as driver or passenger.
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Language |
English |
Subject |
Fixation |
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Passenger |
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Probabilities |
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Μεταλλάξεις |
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Πιθανότητες |
Issue date |
2021-12-01 |
Collection
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School/Department--School of Medicine--Department of Medicine--Post-graduate theses
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Type of Work--Post-graduate theses
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Permanent Link |
https://elocus.lib.uoc.gr//dlib/a/6/7/metadata-dlib-1639130399-604031-1739.tkl
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Views |
299 |
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