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Published on: April 29, 2014
Colon cancer versus colitis: a microRNA and gene expression analysis via system biology tools
Fatemeh TajikRostami1, Alireza Omidi Farzin1, Babak Arjmand2,3
1Department of Hematology and Medical Oncology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Aim:
The molecular mechanism of this relationship can be detected that promote the transition from colitis to colon cancer via system biology tools is the main aim of this study.
Background:
There is a correlation between colitis and associated colon analysis.
Methods:
The differentially expressed microRNA and gene profiles of samples with colitis and colon cancer are extracted from the Gene Expression Omnibus (GEO) database and assessed using the GEO2R program and the CluePedia plugin of Cytoscape software to identify crucial actors and controlled genes or microRNAs.
Results:
Analyses revealed microRNA analysis was not suitable tool to detect molecular mechanism of colitis to associated colon cancer in mouse model but the gene expression profile assessment leads to introduce CLASP1, CENPM, KIF18A, PRS7, CENPI, ZWINT, SPC24, and CENPK as the critical genes that promote this transition in fibroblast cells of colon cancer.
Conclusion:
Regulation of ribosome and kinetochore was suggested as a possible treatment to prevent colitis - colon cancer transition.
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