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Stochastic Models of Epithelial Cancer Initiation and Glioblastoma Recurrence

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개인저자Storey, Kathleen M.
단체저자명University of Minnesota. Mathematics.
서명/저자사항Stochastic Models of Epithelial Cancer Initiation and Glioblastoma Recurrence.
발행사항[S.l.] : University of Minnesota., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항167 p.
소장본 주기School code: 0130.
ISBN9780438351264
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Jasmine Foo.
요약Cancer development involves the inherently stochastic accumulation of genetic mutations, conferring growth advantages to the cells affected by these mutations. Thus, stochastic modeling provides useful insight when studying the evolutionary proc
요약First we explore the temporal dynamics of spatial heterogeneity during the process of carcinogenesis from healthy tissue. We utilize a spatial stochastic model of mutation accumulation and clonal expansion to describe this process. Under a two-s
요약Next we study the propagation speed of a premalignant clone during carcinogenesis. We approximate a premalignant clone in epithelial tissue containing w layers of proliferating cells (referred to as a ``basal zone'') with a biased voter model o
요약Finally we develop a multi-type branching process model of the tumor progression and treatment response in glioblastoma multiforme (GBM). GBM recurrence is often attributed to acquired resistance to the standard chemotherapeutic agent temozolomi
일반주제명Applied mathematics.
Biology.
언어영어
기본자료 저록Dissertation Abstracts International80-01B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14999380

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