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Identification association of drug-disease by using functional gene module for breast cancer - PubMed

Identification association of drug-disease by using functional gene module for breast cancer

Lida Zhu et al. BMC Med Genomics. 2015.

Abstract

In oncology drug development, it is important to develop low risk drugs efficiently. Meanwhile, computational methods have been paid more and more attention in drug discovery. However, few studies attempt to discover the mutual gene modules shared by the drug and disease association. Here we introduce a novel method to identify repositioned drug for breast cancer by integrating the breast cancer survival data with the drug sensitivity information. Among the 140 drug candidates, we are able to filter 4 FDA approved drugs and identify 2 breast cancer drugs among 4 known breast cancer therapeutic drug in total.

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Figures

**Figure 1**
**The workflow of the method that integrated the prognostic gene modules with the drug sensitivity modules**.

**Figure 2**
**The distribution of the Drug-Disease network**. The yellow node repersents the prognostic gene module of breast cancer. The red node is denoted for the drug sensitivity module. If the sensitivity module has a significant overlap between the prognostic gene modules, it means this module is sensitive to this drug which is denoted as a link from the red note to the yellow node. The right circle is the Paclitaxel related gene modules network.

**Figure 3**
**The Mitoxantrone associated with gene modules network**.

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Identification association of drug-disease by using functional gene module for breast cancer - PubMed