Gene Expression Profiling and Pathway Network Analysis Predicts a Novel Antitumor Function for a Botanical-Derived Drug, PG2
Joint Authors
Huang, Chi-Ying F.
Chang, Peter Mu-Hsin
Chuang, Tsung-Hsien
Hua, Wei-Kai
Lin, Wey-Jinq
Hsu, Wei-Hsiang
Huang, Tse-Hung
Kao, Cheng-Yan
Chen, Chun-Houh
Hsu, Shih-Lan
Kuo, Yu-Lun
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-20
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
PG2 is a botanical drug that is mostly composed of Astragalus polysaccharides (APS).
Its role in hematopoiesis and relieving cancer-related fatigue has recently been clinically investigated in cancer patients.
However, systematic analyses of its functions are still limited.
The aim of this study was to use microarray-based expression profiling to evaluate the quality and consistency of PG2 from three different product batches and to study biological mechanisms of PG2.
An integrative molecular analysis approach has been designed to examine significant PG2-induced signatures in HL-60 leukemia cells.
A quantitative analysis of gene expression signatures was conducted for PG2 by hierarchical clustering of correlation coefficients.
The results showed that PG2 product batches were consistent and of high quality.
These batches were also functionally equivalent to each other with regard to how they modulated the immune and hematopoietic systems.
Within the PG2 signature, there were five genes associated with doxorubicin: IL-8, MDM4, BCL2, PRODH2, and BIRC5.
Moreover, the combination of PG2 and doxorubicin had a synergistic effect on induced cell death in HL-60 cells.
Together with the bioinformatics-based approach, gene expression profiling provided a quantitative measurement for the quality and consistency of herbal medicines and revealed new roles (e.g., immune modulation) for PG2 in cancer treatment.
American Psychological Association (APA)
Kuo, Yu-Lun& Chen, Chun-Houh& Chuang, Tsung-Hsien& Hua, Wei-Kai& Lin, Wey-Jinq& Hsu, Wei-Hsiang…[et al.]. 2015. Gene Expression Profiling and Pathway Network Analysis Predicts a Novel Antitumor Function for a Botanical-Derived Drug, PG2. Evidence-Based Complementary and Alternative Medicine،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1063794
Modern Language Association (MLA)
Kuo, Yu-Lun…[et al.]. Gene Expression Profiling and Pathway Network Analysis Predicts a Novel Antitumor Function for a Botanical-Derived Drug, PG2. Evidence-Based Complementary and Alternative Medicine No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1063794
American Medical Association (AMA)
Kuo, Yu-Lun& Chen, Chun-Houh& Chuang, Tsung-Hsien& Hua, Wei-Kai& Lin, Wey-Jinq& Hsu, Wei-Hsiang…[et al.]. Gene Expression Profiling and Pathway Network Analysis Predicts a Novel Antitumor Function for a Botanical-Derived Drug, PG2. Evidence-Based Complementary and Alternative Medicine. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1063794
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1063794