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Bioinformatics Analysis Reveals Potential Candidate Drugs for HCC.
MedLine Citation:
PMID:  23341104     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
In our study, we used the GSE17967 series to identify differentially expressed genes between cirrhosis and hepatocellular carcinoma, aiming to analyse the mechanism of the progression of cirrhosis to hepatocellular carcinoma and identify the sub-pathways closely related to this progression, and find the small molecule drugs to interfere this progression. From the result of our study, we find that many small molecule drugs closely related with carcinoma have been linked by our method. We also find some new small molecule drugs related to this progression. It is demonstrated that bioinformatics analysis is useful in identification of the candidate drugs in hepatocellular carcinoma.
Authors:
Xiao-Bing Huang; Jing Li; Lu Zheng; Guo-Hua Zuo; Ke-Qiang Han; Hong-Yan Li; Ping Liang
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-23
Journal Detail:
Title:  Pathology oncology research : POR     Volume:  -     ISSN:  1532-2807     ISO Abbreviation:  Pathol. Oncol. Res.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9706087     Medline TA:  Pathol Oncol Res     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Department of Hepatobiliary Surgery, Xinqiao Hospital, Third Military Medical University, 400037, NO.2 Xin Qiao Street, Sha Ping Ba District, Chongqing, People's Republic of China.
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