Identification of significant genes and therapeutic agents for breast cancer by integrated genomics

Xiao Sun, Zhenzhen Luo, Liuyun Gong, Xinyue Tan, Jie Chen, Xin Liang & Mengjiao Cai
Breast cancer is the most commonly diagnosed malignancy in women; thus, more cancer prevention research is urgently needed. The aim of this study was to predict potential therapeutic agents for breast cancer and determine their molecular mechanisms using integrated bioinformatics. Summary data from a large genome-wide association study of breast cancer was derived from the UK Biobank. The gene expression profile of breast cancer was from the Oncomine database. We performed a network-wide association study...
1 citation reported since publication in 2021.
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