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Evolutionary dynamics of cancer.

Michor, Franziska.

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Evolutionary dynamics of cancer.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Evolutionary dynamics of cancer./
作者:	Michor, Franziska.
面頁冊數:	163 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-05, Section: B, page: 2395.
Contained By:	Dissertation Abstracts International66-05B.
標題:	Biology, Genetics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3173982
ISBN:	0542114399

Evolutionary dynamics of cancer.
Michor, Franziska.

Evolutionary dynamics of cancer. - 163 p.

Source: Dissertation Abstracts International, Volume: 66-05, Section: B, page: 2395.

Thesis (Ph.D.)--Harvard University, 2005.

Evolutionary dynamics of mutation and selection can be formulated by mathematical equations. Cancer arises as a consequence of somatic evolution. Therefore, a mathematical approach can be used to understand cancer initiation and progression. Tumorigenesis is driven by genetic alterations of oncogenes, tumor suppressor genes and genetic instability genes. First, I discuss the fundamental principles that govern the dynamics of activating oncogenes and inactivating tumor suppressor genes in populations of reproducing cells. A quantitative theory of mutation and selection provides insights into the role of genetic instability in cancer initiation. Second, I analyze the dynamics of cancer progression via inactivation of one or two tumor suppressor genes. Third, I derive a mathematical framework for the complete mutational sequence of colorectal tumorigenesis (as known today) and the effect of chromosomal instability therein. Fourth, I present a new mathematical model of colon cancer initiation that assumes a linear flow from stem cells to differentiated cells to apoptosis. Finally, a mathematical model of chronic myeloid leukemia (CML) and the molecular response to imatinib therapy suggests that leukemic stein cells are spared by therapy. The model provides quantitative insights into the in vivo kinetics of this cancer and determines the probability of disease relapse due to resistance mutations.

ISBN: 0542114399Subjects--Topical Terms:

1017730
Biology, Genetics.

Evolutionary dynamics of cancer.
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