Exploring the Molecular Mechanism and Biomakers of Liver Cancer Based on Gene Expression Microarray

机制(生物学) 微阵列 基因 微阵列分析技术 基因表达 计算生物学 肝癌 癌症 DNA微阵列 生物 癌症研究 遗传学 哲学 认识论
作者
Pengfei Liu,Wenhua Jiang,He Ren,Huilai Zhang,Jihui Hao
出处
期刊:Pathology & Oncology Research [Frontiers Media SA]
卷期号:21 (4): 1077-1083 被引量:11
标识
DOI:10.1007/s12253-015-9926-7
摘要

Liver cancer is one of the most common cancers worldwide with high morbidity and mortality. Its molecular mechanism hasn't been fully understood though many studies have been conducted and thus further researches are still needed to improve the prognosis of liver cancer. Firstly, differentially expressed genes (DEGs) between six Mdr2-knockout (Mdr2-KO) mutant mice samples (3-month-old and 12-month-old) and six control mice samples were identified. Then, the enriched GO terms and KEGG pathways of those DEGs were obtained using the Database for Annotation, Visualization and Integrated Discovery (DAVID, http://david.abcc.ncifcrf.gov/). Finally, protein-protein interactions (PPI) network of those DEGs were constructed using STRING database ( http://www.string-db.org/) and visualized by Cytoscape software, at the same time, genes with high degree were selected out. Several novel biomarkers that might play important roles in liver cancer were identified through the analysis of gene microarray in GEO. Also, some genes such as Tyrobp, Ctss and pathways such as Pathways in cancer, ECM-receptor interaction that had been researched previously were further confirmed in this study. Through the bioinformatics analysis of the gene microarray in GEO, we found some novel biomarkers of liver cancer and further confirmed some known biomarkers.
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