title: Identification association of drug-disease by using functional gene module for breast cancer.
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.
authors.forename: Lida
authors.initials: L
authors.lastname: Zhu
authors.forename: Fuxi
authors.initials: F
authors.lastname: Zhu
mesh_terms: D000970:Antineoplastic Agents / Q000494:pharmacology / Q000627:therapeutic use*; D001943:Breast Neoplasms / Q000188:drug therapy* / Q000235:genetics*; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D063990:Gene Ontology; D053263:Gene Regulatory Networks; D052138:Genes, Neoplasm; D006801:Humans; D008942:Mitoxantrone / Q000627:therapeutic use; D011379:Prognosis
chemical_list: D000970:Antineoplastic Agents; D008942:Mitoxantrone