title: Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array Data.
abstract: Traditional Chinese medicine (TCM) treatment is regarded as a safe and effective method for many diseases. In this study, the characteristics among excessive, excessive-deficient, and deficient syndromes of Hepatocellular carcinoma (HCC) were studied using miRNA array data. We first calculated the differentially expressed miRNAs based on random module t-test and classified three TCM syndromes of HCC using SVM method. Then, the weighted miRNA-target networks were constructed for different TCM syndromes using predicted miRNA targets. Subsequently, the prioritized target genes of upexpression network of TCM syndromes were analyzed using DAVID online analysis. The results showed that there are distinctly different hierarchical cluster and network structure of TCM syndromes in HCC, but the excessive-deficient combination syndrome is extrinsically close to deficient syndrome. GO and pathway analysis revealed that the molecular mechanisms of excessive-deficient and deficient syndromes of HCC are more complex than excessive syndrome. Furthermore, although excessive-deficient and deficient syndromes have similar complex mechanisms, excessive-deficient syndrome is more involved than deficient syndrome in development of cancer process. This study suggested that miRNAs might be important mediators involved in the changing process from excessive to deficient syndromes and could be potential molecular markers for the diagnosis of TCM syndromes in HCC.
authors.affiliation: Research Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, China ; College of Life and Environment Science, Huangshan University, Huangshan 245021, China.
authors.forename: Qi-Long
authors.initials: QL
authors.lastname: Chen
authors.affiliation: Research Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, China.
authors.forename: Yi-Yu
authors.initials: YY
authors.lastname: Lu
authors.affiliation: Research Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, China.
authors.forename: Gui-Biao
authors.initials: GB
authors.lastname: Zhang
authors.affiliation: Research Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, China.
authors.forename: Ya-Nan
authors.initials: YN
authors.lastname: Song
authors.affiliation: Research Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, China.
authors.forename: Qian-Mei
authors.initials: QM
authors.lastname: Zhou
authors.affiliation: Research Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Shanghai Longhua Hospital, Shanghai University of TCM, Shanghai 200126, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Zhang
authors.affiliation: College of Life and Environment Science, Huangshan University, Huangshan 245021, China.
authors.forename: Xin-Sheng
authors.initials: XS
authors.lastname: Tang
authors.affiliation: Research Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, China.
authors.forename: Shi-Bing
authors.initials: SB
authors.lastname: Su