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Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases pp 153–167Cite as

Identification of Cancer MicroRNA Biomarkers Based on miRNA–mRNA Network

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Part of the book series: Translational Bioinformatics ((TRBIO,volume 4))

Abstract

It has been previously reported that miRNA regulations were involved in various biological processes. The deregulation activities of microRNA regulators potentially contribute to the pathopoiesis of various kinds of human cancers, and are candidate biomarkers for cancer diagnosis and prognosis. Until now, enormous studies have been conducted to explore potential miRNA biomarkers for different types of cancers. In this chapter, we will first provide a brief introduction about miRNAs biogenesis and their involvement in cancer pathopoiesis, and then reviewed the advances on current available miRNA profiling technologies. Then concise text will be exploited to describe the traditional experiment-dominate approaches for miRNA biomarker discovery. In the next part, intensive efforts are made on the review and summarization of miRNA–mRNA network based computational methods for the discovery of potential miRNA biomarkers. Afterwards, collect and list exsiting online databases relating to cancer miRNA biomarker discovery. Finally, we propose the perspective directions on this research area, and conclude the main context in this chapter.

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Authors and Affiliations

  1. Center for Systems Biology, Soochow University, P.O. Box 206, No.1 Shizi Street, Suzhou, 215006, Jiangsu, China

    Wenyu Zhang & Bairong Shen

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  1. Wenyu Zhang
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  2. Bairong Shen
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Correspondence to Wenyu Zhang .

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  1. Center for Systems Biology, Soochow University, Suzhou, People's Republic of China

    Bairong Shen

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Zhang, W., Shen, B. (2013). Identification of Cancer MicroRNA Biomarkers Based on miRNA–mRNA Network. In: Shen, B. (eds) Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases. Translational Bioinformatics, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7975-4_8

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