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基于基因表达微阵列探索肝癌的分子机制和生物标志物。

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

作者信息

Liu Pengfei, Jiang Wenhua, Ren He, Zhang Huilai, Hao Jihui

机构信息

Department of Lymphoma, Sino-US Center of Lymphoma and Leukemia, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China,

出版信息

Pathol Oncol Res. 2015 Sep;21(4):1077-83. doi: 10.1007/s12253-015-9926-7. Epub 2015 Apr 25.

DOI:10.1007/s12253-015-9926-7
PMID:25907256
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4550637/
Abstract

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.

摘要

肝癌是全球最常见的癌症之一，发病率和死亡率都很高。尽管已经开展了许多研究，但其分子机制尚未完全明确，因此仍需要进一步研究以改善肝癌的预后。首先，鉴定了6个Mdr2基因敲除（Mdr2-KO）突变小鼠样本（3月龄和12月龄）与6个对照小鼠样本之间的差异表达基因（DEG）。然后，使用注释、可视化和综合发现数据库（DAVID，http://david.abcc.ncifcrf.gov/）获得这些DEG的富集GO术语和KEGG通路。最后，使用STRING数据库（http://www.string-db.org/）构建这些DEG的蛋白质-蛋白质相互作用（PPI）网络，并通过Cytoscape软件进行可视化，同时筛选出高连接度的基因。通过对GEO中基因芯片的分析，鉴定了几种可能在肝癌中起重要作用的新型生物标志物。此外，本研究进一步证实了一些先前已研究的基因，如Tyrobp、Ctss以及癌症通路、ECM-受体相互作用等通路。通过对GEO中基因芯片的生物信息学分析，我们发现了一些肝癌的新型生物标志物，并进一步证实了一些已知的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75d0/4550637/c7318a0eef94/12253_2015_9926_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75d0/4550637/a64a471f9672/12253_2015_9926_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75d0/4550637/d9eabdf0da5a/12253_2015_9926_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75d0/4550637/c7318a0eef94/12253_2015_9926_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75d0/4550637/a64a471f9672/12253_2015_9926_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75d0/4550637/d9eabdf0da5a/12253_2015_9926_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75d0/4550637/c7318a0eef94/12253_2015_9926_Fig3_HTML.jpg

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