Prediction of biomarker miRNAs signature in colorectal cancer metastasis to liver cancer
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Z. Salehi 1, P. Haddad 2, Omid Tavallaei 1 2 *
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1 Department of pharmacognosy and pharmaceutical biotechnology, School of Pharmacy, Kermanshah University of Medical Sciences, Kermanshah, Iran2 Pharmaceutical Sciences Research Center, School of Pharmacy, Kermanshah University of Medical Sciences, Kermanshah, Iran* Corresponding Author

Abstract

Introduction:
microRNAs (miRNAs) are frequently dysregulated in colorectal cancer (CRC) primary tumors vs. metastasic to the liver.

Objective:
Our aim was to prediction of biomarker miRNAs signature of CRC Metastasis to liver cancer.

Material and Methods:
mRNA and miRNA expression profiles of CRC primary tumors to metastases formed in the liver were downloaded from NCBI Gene Expression Omnibus (GEO) database. miRNAs targets were predicted using Targetscan algorithm. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) enrichment analysis were performed using DAVID online tool, since mRNA expression profile of liver and colon cancer primary tumors vs. metastasis to the liver were used in background of these analysis.

Results:
43 and 58 down- and up-regulated miRNAs were obtained from GSE98406 (p-value < 0.05). mRNA expression profile include of 1,048 mRNAs differentially expressed in metastatic and non-metastatic CRC to liver from GSE40367 (p-value < 0.05). The some of the down-regulated miRNAs were significantly enriched in migration signaling and cancer stem cell signaling. Moreover, the some of the up-regulated miRNAs were significantly enriched in negative regulation of cell migration.

Conclusions:
Some of the miRNAs are many number of target genes that some of these are oncogenes and tumor suppressor genes. It is concluded that differentially expressed miRNAs in metastatic vs. non-metastatic CRC to the liver take part in cell migration and cancer stem cell signaling pathways.

Keywords

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Original Article

ELECTRON J GEN MED, Volume 16, Issue 1, February 2019, Article No: em100

https://doi.org/10.29333/ejgm/93467

Publication date: 11 Dec 2018

Online publication date: 14 Jul 2018

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Article Downloads: 2321

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