D. Wen and J. Geng should be regarded as co-first authors.
A computational bioinformatics analysis of gene expression identifies candidate agents for prostate cancer
Version of Record online: 24 JUN 2013
© 2013 Blackwell Verlag GmbH
Volume 46, Issue 6, pages 625–632, August 2014
How to Cite
Wen, D., Geng, J., Li, W., Guo, C. and Zheng, J. (2014), A computational bioinformatics analysis of gene expression identifies candidate agents for prostate cancer. Andrologia, 46: 625–632. doi: 10.1111/and.12127
- Issue online: 14 JUL 2014
- Version of Record online: 24 JUN 2013
- Manuscript Accepted: 23 APR 2013
- Gene ontology;
- prostate cancer;
- small molecules
Prostate cancer is the second most frequently diagnosed cancer and the sixth leading cause of cancer death in males worldwide. Although great progress has been made, the molecular mechanisms of prostate cancer are far from being fully understood and treatment of this disease remains palliative. In this study, we sought to explore the molecular mechanism of prostate cancer and then identify biologically active small molecules capable of targeting prostate cancer using a computational bioinformatics analysis of gene expression. A total of 3068 genes, involved in cell communication, development, localisation and cell proliferation, were differentially expressed in prostate cancer samples compared with normal controls. Pathways associated with signal transduction, immune response and tumorigenesis were dysfunctional. Further, we identified a group of small molecules capable of reversing prostate cancer. These candidate agents may provide the groundwork for a combination therapy approach for prostate cancer. However, further evaluation for their potential use in the treatment of prostate cancer is still needed.