The prediction of the genes-micrornas target involved in the inflammatory pathways of colorectal cancer by bioinformatics tools

Nashmin Fayazi hossieni,1 Pouria samadi,2 Masoud saeedi jam,3,*

1. Department of Molecular Medicine and Genetics, Hamadan University of Medical Sciences, Iran
2. Department of Molecular Medicine and Genetics, Hamadan University of Medical Sciences, Iran
3. Department of Molecular Medicine and Genetics, Hamadan University of Medical Sciences, Iran

Abstract


Introduction

In recent years, studying cell regulatory systems such as gene regulatory networks and cellular signaling networks have been regarded. micrornas that regulates the gene expression through binding to the end of the target mrna have oncogenic and tumor suppressive role in various cancers. recently, micrornas (mirnas) have emerged as another layer of gene regulation. chronic inflammation plays a key role in altering tumor microenvironment, angiogenesis and metastasis. inflammation is controlled by various inflammatory mediators such as cytokines, chemokines, prostaglandins, and micrornas. in this study, by employing several bioinformatics tools we examined the interactions between effective inflammatory genes and micrornas in the development of colorectal cancer in the form of network.

Methods

The 27 genes involved in the inflammation were found from relevant articles from 2000 to 2018. mirwalk tool was used to find gene-microrna targets, david for pathway analysis, string for construct protein-protein interconnection network and cytoscape to identify the topological properties of the network.

Results

Finally, 18 genes including 8 inflammatory genes and 10 micrornas were identified in this interconnection. interferon gamma (ifng) with the highest degree was identified as the most important node. also, two micrornas including mir-5692a and mir-1200, which were not introduced in previous studies of colorectal cancer, were also identified.

Conclusion

Mir-5692a and mir-1200 can be introduced as new candidates for further study on colorectal cancer.

Keywords

Inflammation, colorectal cancer, microrna, gene regulatory network