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Integrated analysis of microRNA-target interactions with clinical outcomes for cancers

Cited 6 time in Web of Science Cited 7 time in Scopus
Authors
Joung, Je-Gun; Kim, Dokyoon; Lee, Su Yeon; Kang, Hwa Jung; Kim, Ju Han
Issue Date
2014-05-08
Publisher
BioMed Central
Citation
BMC Medical Genomics, 7(Suppl 1):S10
Description
This is an Open Access article distributed under the terms of the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited.
Abstract
Abstract

Background
Clinical statement alone is not enough to predict the progression of disease. Instead, the gene expression profiles have been widely used to forecast clinical outcomes. Many genes related to survival have been identified, and recently miRNA expression signatures predicting patient survival have been also investigated for several cancers. However, miRNAs and their target genes associated with clinical outcomes have remained largely unexplored.


Methods
Here, we demonstrate a survival analysis based on the regulatory relationships of miRNAs and their target genes. The patient survivals for the two major cancers, ovarian cancer and glioblastoma multiforme (GBM), are investigated through the integrated analysis of miRNA-mRNA interaction pairs.


Results
We found that there is a larger survival difference between two patient groups with an inversely correlated expression profile of miRNA and mRNA. It supports the idea that signatures of miRNAs and their targets related to cancer progression can be detected via this approach.


Conclusions
This integrated analysis can help to discover coordinated expression signatures of miRNAs and their target mRNAs that can be employed for therapeutics in human cancers.
Language
English
URI
http://hdl.handle.net/10371/100677
DOI
https://doi.org/10.1186/1755-8794-7-S1-S10
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College of Medicine/School of Medicine (의과대학/대학원)Dept. of Medicine (의학과)Journal Papers (저널논문_의학과)
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