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.

中文翻译：

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基于 Cox 模型的乳腺癌患者 mRNA 和 microRNA 特征的综合生存分析。

精准医学已成为生物医学研究领域的趋势。mRNA和微小RNA（miRNA）的分析是它的基础。尽管对不同癌症中 mRNA 和 miRNA 的分析已被广泛研究，但只有少数关于它们在大型患者队列中相互作用的综合研究已经完成。在本文中，我们研究了 mRNA、miRNA 及其相互作用在乳腺癌 (BRCA) 生存分析中的综合意义。我们检测差异表达基因，然后我们通过Cox模型分析BRCA的重要基因。本文中描述的模型比没有预测 miRNA 和 mRNA 相互作用的模型具有更好的性能。考虑 miRNA 与靶标相互作用的平均 C 指数为 0.7，与没有相互作用的模型相比提高了 84%，即 0.38。