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Comparative gene expression analysis...

The Ohio State University.

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Comparative gene expression analysis to identify common factors in multiple cancers.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Comparative gene expression analysis to identify common factors in multiple cancers./
作者:	Rybaczyk, Leszek A.
面頁冊數:	160 p.
附註:	Adviser: Kun Huang.
Contained By:	Dissertation Abstracts International69-07B.
標題:	Health Sciences, Oncology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3321370
ISBN:	9780549716877

Comparative gene expression analysis to identify common factors in multiple cancers.
Rybaczyk, Leszek A.

Comparative gene expression analysis to identify common factors in multiple cancers. - 160 p.

Adviser: Kun Huang.

Thesis (Ph.D.)--The Ohio State University, 2008.

Most current cancer research is focused on tissue-specific genetic mutations. Familial inheritance (e.g., APC in colon cancer), genetic mutation (e.g., p53), and overexpression of growth receptors (e.g., Her2-neu in breast cancer) can potentially lead to aberrant replication of a cell. Studies of these changes provide tremendous information about tissue-specific effects but are less informative about common changes that occur in multiple tissues. The similarity in the behavior of cancers from different organ systems and species suggests that a pervasive mechanism drives carcinogenesis, regardless of the specific tissue or species. In order to detect this mechanism, I applied three tiers of analysis at different levels: hypothesis testing on individual pathways to identify significant expression changes within each dataset, intersection of results between different datasets to find common themes across experiments, and Pearson correlations between individual genes to identify correlated genes within each dataset. By comparing a variety of cancers from different tissues and species, I was able to separate tissue and species specific effects from cancer specific effects. I found that downregulation of Monoamine Oxidase A is an indicator of this pervasive mechanism and can potentially be used to detect pathways and functions related to the initiation, promotion, and progression of cancer.

ISBN: 9780549716877Subjects--Topical Terms:

1018566
Health Sciences, Oncology.

Comparative gene expression analysis to identify common factors in multiple cancers.
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