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

  • Jiawei Lei
  • Shu-Lin Wang
  • Jianwen Fang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10955)

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.

Keywords

Cancer-related miRNA Gene expression Dirver genes 

Notes

Acknowledgement

This work was supported by the grants of the National Science Foundation of China (Grant Nos. 61472467, 61672011, and 61471169) and the Collaboration and Innovation Center for Digital Chinese Medicine of 2011 Project of Colleges and Universities in Hunan Province.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Computer Science and Electronics EngineeringHunan UniversityChangshaChina
  2. 2.Biometric Research Branch, Division of Cancer Treatment and DiagnosisNational Cancer InstituteRockvilleUSA

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