Combining mRNA, microRNA, Protein Expression Data and Driver Genes Information for Identifying Cancer-Related MicroRNAs

Abstract

As is well-known, microRNAs (miRNAs), a short nor-coding RNA, play a vital role in important biological processes such as gene expression and transcriptional regulation. And it was reported that miRNAs have involved in the occurrence and development of various human cancer, which shows the potentiality of miRNAs in cancer treatment and diagnosis. However, it is a great challenge for the detection and prioritization of cancer-related miRNAs. In this paper, we proposed a novel approach which combines mRNA, miRNA, protein expression data by introducing dirver genes for identifying glioblastoma (GBM)-related miRNAs. And identified miRNAs were ranked by related scores. The performance of our method was evaluated by the proportion of the previously known miRNAs and the area under the receiver operating characteristic curves (AUC). A literature survey was also used to validate the detected results. A miRNA-gene regulatory module was constructed for understanding the biological function of ranked miRNAs in cancer.