Establishment of cholangiocarcinoma biomarker database and discovery of potential biomarkers in bile by a quantitative proteomic approach

碩士 === 長庚大學 === 生物醫學研究所 === 104 === Cholangiocarcinoma (CC), the second most common primary malignant hepatic tumor that arises from biliary epithelial cells, is recently increasing in incidence and has poor prognosis. Currently, only surgical resection and liver transplantation can completely cure...

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Bibliographic Details
Main Authors: Chia Jung Tsai, 蔡佳蓉
Other Authors: J. S. Yu
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/yfc7e7
Description
Summary:碩士 === 長庚大學 === 生物醫學研究所 === 104 === Cholangiocarcinoma (CC), the second most common primary malignant hepatic tumor that arises from biliary epithelial cells, is recently increasing in incidence and has poor prognosis. Currently, only surgical resection and liver transplantation can completely cure CC in early-stage, but it has no specific symptoms at early-stage and difficult to diagnose owing to low specificity of most diagnostic modalities and biomarkers to differentiate with other hepatobiliary diseases. The lack of a sensitive and specific diagnostic marker and alternative treatments are the main reasons why patients with CC have a very poor outcome. Mass spectrometry-based proteomics is high throughput, sensitive and accurate, representing a powerful approach for the identification of biomarkers with potential clinical utility. Bile could be extremely valuable to discover biomarkers of CC, because it is directly secreted by the biliary tract. In this thesis, we identified 152 differentially expressed proteins in bile of the benign biliary disease – gallstones patients (n=2) and CC patients (n=4) through twodimensional liquid chromatography tandem mass spectrometry. In addition, we established a CC biomarker database in three ways : (1) Search in PubMed for 115 reported protein biomarkers ; (2) Search for 623 differentially expressed genes from microarray datasets in Gene Expression Omnibus(GEO) database;(3) Search for secretome and exosome database. The combination of these three CC biomarker-related datasets and our data for the identifying differentially expressed proteins in bile should greatly facilitate the development of highly sensitive and specific protein biomarker of CC in the future.