Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array Data
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 d...
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doaj-c0289bad1eae406bacf8639306c714522020-11-25T01:06:08ZengHindawi LimitedEvidence-Based Complementary and Alternative Medicine1741-427X1741-42882013-01-01201310.1155/2013/324636324636Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array DataQi-Long Chen0Yi-Yu Lu1Gui-Biao Zhang2Ya-Nan Song3Qian-Mei Zhou4Hui Zhang5Wei Zhang6Xin-sheng Tang7Shi-Bing Su8Research Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, ChinaResearch Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, ChinaResearch Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, ChinaResearch Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, ChinaResearch Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, ChinaResearch Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, ChinaShanghai Longhua Hospital, Shanghai University of TCM, Shanghai 200126, ChinaCollege of Life and Environment Science, Huangshan University, Huangshan 245021, ChinaResearch Center for TCM Complexity System, Shanghai University of TCM, Shanghai 201203, ChinaTraditional 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.http://dx.doi.org/10.1155/2013/324636 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qi-Long Chen Yi-Yu Lu Gui-Biao Zhang Ya-Nan Song Qian-Mei Zhou Hui Zhang Wei Zhang Xin-sheng Tang Shi-Bing Su |
spellingShingle |
Qi-Long Chen Yi-Yu Lu Gui-Biao Zhang Ya-Nan Song Qian-Mei Zhou Hui Zhang Wei Zhang Xin-sheng Tang Shi-Bing Su Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array Data Evidence-Based Complementary and Alternative Medicine |
author_facet |
Qi-Long Chen Yi-Yu Lu Gui-Biao Zhang Ya-Nan Song Qian-Mei Zhou Hui Zhang Wei Zhang Xin-sheng Tang Shi-Bing Su |
author_sort |
Qi-Long Chen |
title |
Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array Data |
title_short |
Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array Data |
title_full |
Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array Data |
title_fullStr |
Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array Data |
title_full_unstemmed |
Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array Data |
title_sort |
characteristic analysis from excessive to deficient syndromes in hepatocarcinoma underlying mirna array data |
publisher |
Hindawi Limited |
series |
Evidence-Based Complementary and Alternative Medicine |
issn |
1741-427X 1741-4288 |
publishDate |
2013-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2013/324636 |
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