Gene Expression Profiling and Pathway Network Analysis Predicts a Novel Antitumor Function for a Botanical-Derived Drug, PG2.
Gene Expression Profiling and Pathway Network Analysis Predicts a Novel Antitumor Function for a Botanical-Derived Drug, PG2.
复制标题
DOI:
10.1155/2015/917345
复制
发表时间:
2015
期刊:
影响因子:
--
通讯作者:
Huang CY
中科院分区:
文献类型:
--
作者:
Kuo YL;Chen CH;Chuang TH;Hua WK;Lin WJ;Hsu WH;Chang PM;Hsu SL;Huang TH;Kao CY;Huang CY
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.
登录
查看更多内容
影响因子:
14.9
作者:
Kamburov A;Stelzl U;Lehrach H;Herwig R
通讯作者:
Herwig R
影响因子:
12.3
作者:
Gentleman RC;Carey VJ;Bates DM;Bolstad B;Dettling M;Dudoit S;Ellis B;Gautier L;Ge Y;Gentry J;Hornik K;Hothorn T;Huber W;Iacus S;Irizarry R;Leisch F;Li C;Maechler M;Rossini AJ;Sawitzki G;Smith C;Smyth G;Tierney L;Yang JY;Zhang J
通讯作者:
Zhang J
影响因子:
5.5
作者:
Jiang, Junbing;Wu, Caihong;Li, Hongquan
通讯作者:
Li, Hongquan
影响因子:
5.8
作者:
Ginzkey, Christian;Eicker, Sven O.;Hamel, Wolfgang
通讯作者:
Hamel, Wolfgang
影响因子:
3.8
作者:
Gangadharan, Charitha;Thoh, Maikho;Manna, Sunil Kumar
通讯作者:
Manna, Sunil Kumar