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http://dx.doi.org/10.7314/APJCP.2015.16.2.457

Network Analysis of microRNAs, Genes and their Regulation in Mantle Cell Lymphoma  

Deng, Si-Yu (College of Computer Science and Technology, Jilin University)
Guo, Xiao-Xin (College of Computer Science and Technology, Jilin University)
Wang, Ning (College of Computer Science and Technology, Jilin University)
Wang, Kun-Hao (College of Computer Science and Technology, Jilin University)
Wang, Shang (College of Computer Science and Technology, Jilin University)
Publication Information
Asian Pacific Journal of Cancer Prevention / v.16, no.2, 2015 , pp. 457-463 More about this Journal
Abstract
The pathogenesis of mantle cell lymphoma, a special subtype of lymphoma that is invasive and indolent and has a median survival of 3 to 4 years, is still partially unexplained. Much research about genes and miRNAs has been conducted in recent years, but interactions and regulatory relations of genetic elements which may play a vital role in genesis of MCL have attracted only limited attention. The present study concentrated on regulatory relations about genes and miRNAs contributing to MCL pathogenesis. Numerous experimentally validated raw data were organized into three topology networks, comprising differentially expressed, associated and global examples. Comparison of similarities and dissimilarities of the three regulating networks, paired with the analysis of the interactions between pairs of elements in every network, revealed that the differentially expressed network illuminated the carcinogenicity mechanism of MCL and the related network further described the regulatory relations involved, including prevention, diagnosis, development and therapy. Three kinds of regulatory relations for host genes including miRNAs, miRNAs targeting genes and genes regulating miRNAs were concluded macroscopically. Regulation of the differentially expressed miRNAs was also analyzed, in terms of abnormal gene expression affecting the MCL pathogenesis. Special regulatory relations were uncovered. For example, auto-regulatory loops were found in the three topology networks, key pathways of the nodes being highlighted. The present study focused on a novel point of view revealing important influencing factors for MCL pathogenesis.
Keywords
Mantle cell lymphoma; microRNAs; transcription factors; gene network; host; target;
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