Seyed Taleb Houseini - Department of Biology , Faculty of Basic Sciences , Islamic Azad University , Qaemshahr Branch , Ma-zandaran , Iran
Amin Lotfvarzi - Department of Biology , Faculty of Basic Sciences , Islamic Azad University , Qaemshahr Branch , Mazandaran , Iran
Ali Bagherihashemabad - Department of Biology , Faculty of Basic Sciences , Islamic Azad University , Qaemshahr Branch , Ma-zandaran , Iran
Arash Sattari - Department of Medical laboratory sciences, faculty of medical sciences, Gorgan Branch, Islamic Azad University, Gorgan, Iran.

CRC is a malignancy with no significant symptoms such as bleeding or abdominal pain, and the condition is usually diagnosed when the tumor growth makes the treatment difficult. The survival of CRC patients depends on the disease progression. Most of the CRCs begin with an unbalanced and noncancerous growth of a polyp. CRC may be prevented if the polyps are removed from the colon. Screening reduces the incidence and mortality of CRC. As the miRNAs play a significant role in the regulation of the cellular procedures, this study aims to predict the miRNAs, targeting the BCL۹,FRMD۶ genes , using bioinformatics tools. After getting the BCL۹,FRMD۶ protein chain from the NCBI database, the miRNAs targeting the genes were predicted using TargetScan, miRDB, DIANA and miRWalk databases using different algorithms. Based on the scoring system of the bioinformatics software and considering the best targeting scores, (hsa-miR-۳۰e-۵p , hsa-miR-۳۰d-۵p) and (hsa-miR-۱۰۶b-۵p , hsa-miR-۱۰۶a-۵p) are suggested as the potential miRNAs, targeting the BCL۹,FRMD۶ genes for future researches. Considering the significant role of the BCL۹,FRMD۶ genes on Colorectal cancer, the predicted miRNAs can be used as the molecular biomarkers for the early detection of Colorectal cancer patients.

Bioinformatics Databases, TargetScan, DIANA, miRWlK, miRDB