Analysis of metabolic regulome for colorectal cancer prognosis = 대사 조절체 분석을 통한 대장암 예후 예측 분석

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Several diseases manifest metabolic anomalies in their progressions. Abnormal production or degradation of metabolites could damage the cell and eventually lead to disease pathogenesis. If we focus on genes associated with metabolic regulation, rather than metabolic changes, we can identify the cause of metabolic diseases and also prognostic genetic markers. Especially, a disease showing metabolic anomalies, colorectal cancer has been intensively investigated in this study. Abnormally produced bile acids could lead to the pathogenesis of colorectal cancer, but gene-level clues of bile acid anomalies to colorectal cancer have been incomplete. We suggested proteins of a new role to regulate metabolism, instead of metabolic sensors and metabolic enzymes, as bridge proteins, which link between metabolic sensors and metabolic enzymes. Based on our novel networkbased approach, such as a bridgeness metric, we could identify bridge proteins from a reference network, i.e., bridge network, that we generated and their significant prognostic ability in colorectal cancers. Unlike previous approach to identify prognostic genes, such as hypothesis-driven experimental approach and computational association studies, we could identify prognostic genes with their mechanistic relevance and prognostic abilities simultaneously. Therefore, we identified prognostic genes from bridge proteins that are related to bile acid anomalies and give novel insights to understand and cope with metabolic diseases.
Advisors
Lee, Doheonresearcher이도헌researcher
Description
한국과학기술원 :바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2015
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 바이오및뇌공학과, 2015.2 ,[iv, 81 p. :]

Keywords

metabolic disease; metabolic anomaly; colorectal cancer; bile acid; metabolism; biomarker; prognosis; network; 대사 질병; 대사 이상; 대장암; 담즙; 대사; 바이오마커; 예후; 네트워크

URI
http://hdl.handle.net/10203/221150
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=657549&flag=dissertation
Appears in Collection
BiS-Theses_Ph.D.(박사논문)
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