Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array Data
Joint Authors
Song, Ya-Nan
Zhang, Hui
Zhang, Gui-Biao
Su, Shi-Bing
Tang, Xin-sheng
Chen, Qi-long
Zhang, Wei
Zhou, Qian-mei
Lu, Yi-Yu
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-08
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Chen, Qi-long& Lu, Yi-Yu& Zhang, Gui-Biao& Song, Ya-Nan& Zhou, Qian-mei& Zhang, Hui…[et al.]. 2013. Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array Data. Evidence-Based Complementary and Alternative Medicine،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-463555
Modern Language Association (MLA)
Chen, Qi-long…[et al.]. Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array Data. Evidence-Based Complementary and Alternative Medicine No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-463555
American Medical Association (AMA)
Chen, Qi-long& Lu, Yi-Yu& Zhang, Gui-Biao& Song, Ya-Nan& Zhou, Qian-mei& Zhang, Hui…[et al.]. Characteristic Analysis from Excessive to Deficient Syndromes in Hepatocarcinoma Underlying miRNA Array Data. Evidence-Based Complementary and Alternative Medicine. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-463555
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-463555