Song PM, Zhang Y, He YF, Bao HM, Luo JH, Liu YK, Yang PY, Chen X. Bioinformatics analysis of metastasis-related proteins in hepatocellular carcinoma. World J Gastroenterol 2008; 14(38): 5816-5822 [PMID: 18855979 DOI: 10.3748/wjg.14.5816]
Corresponding Author of This Article
Xian Chen, Professor, Institute of Biomedical Science, Fudan University, Shanghai 200320, China. xian_chen@med.unc.edu
Article-Type of This Article
Liver Cancer
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Pei-Ming Song, Jian-Hua Luo, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200030, China
Pei-Ming Song, Yang Zhang, Yu-Fei He, Hui-Min Bao, Yin-Kun Liu, Peng-Yuan Yang, Xian Chen, Institute of Biomedical Science, Fudan University, Shanghai 200320, China
Xian Chen, Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
Author contributions: Song PM, He YF, Chen X, Liu YK, Yang PY and Luo JH designed the research; Song PM performed the proteomics analysis with the help of Bao HM; Song PM and Zhang Y analyzed the data; Song PM and He YF wrote the paper.
Supported by National Basic Research Priorities Program No. 2001CB510202; National Science and Technology Key Project No. 2002BAC11A11 and 2004BA711A19; National Natural Science Foundation of China No. 20328508; National High Technology Research Developing Program No. 02BAC11A11; Shanghai Science and Technology Development Program No. 03DZ14024
Correspondence to: Xian Chen, Professor, Institute of Biomedical Science, Fudan University, Shanghai 200320, China. xian_chen@med.unc.edu
Telephone: +86-21-54237443 Fax: +86-21-54237416
Received: May 14, 2008 Revised: August 26, 2008 Accepted: September 2, 2008 Published online: October 14, 2008
Abstract
AIM: To analyze the metastasis-related proteins in hepatocellular carcinoma (HCC) and discover the biomarker candidates for diagnosis and therapeutic intervention of HCC metastasis with bioinformatics tools.
METHODS: Metastasis-related proteins were determined by stable isotope labeling and MS analysis and analyzed with bioinformatics resources, including Phobius, Kyoto encyclopedia of genes and genomes (KEGG), online mendelian inheritance in man (OMIM) and human protein reference database (HPRD).
RESULTS: All the metastasis-related proteins were linked to 83 pathways in KEGG, including MAPK and p53 signal pathways. Protein-protein interaction network showed that all the metastasis-related proteins were categorized into 19 function groups, including cell cycle, apoptosis and signal transduction. OMIM analysis linked these proteins to 186 OMIM entries.
CONCLUSION: Metastasis-related proteins provide HCC cells with biological advantages in cell proliferation, migration and angiogenesis, and facilitate metastasis of HCC cells. The bird’s eye view can reveal a global characteristic of metastasis-related proteins and many differentially expressed proteins can be identified as candidates for diagnosis and treatment of HCC.
