| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10231895 | Computational Biology and Chemistry | 2011 | 8 Pages |
Abstract
⺠We performed a meta-analysis of 10 prostate cancer microarray expression datasets. ⺠We identified common signatures of prostate cancer at both gene and pathway level. ⺠Signatures show higher similarity at pathway level than that at gene level. ⺠Eight novel pathways were first described as being associated with prostate cancer. ⺠Endothelin-1/EDNRA transactivation of the EGFR pathway was shared in nine datasets.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Bioengineering
Authors
Ying Wang, Jiajia Chen, Qinghui Li, Haiyun Wang, Ganqiang Liu, Qing Jing, Bairong Shen,