Precision medicine has become a trend in the field of biomedical research. Analysis of mRNA and microRNA (miRNA) is a basis of it. Although the analyses of mRNA and miRNA in different cancers have been studied widely, only a few integrated studies concerning their interactions on large patient cohorts have been done. In this article, we study the integrated significance of mRNA, miRNA, and their interactions in the survival analysis of breast cancer (BRCA). We detect differential expression genes, then we analyze significant genes of BRCA by the Cox model. The model described in this article has better performance than the model without predictors of interactions of miRNA and mRNA. The average C index considering miRNA–target interactions is 0.7, which achieves 84% improvement compared with the model without interactions, which is 0.38.
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