miRNA Profile and Bioinformatic Analysis for Diagnosis in Patients with Stage IIIA Colon Cancer

Early diagnosis is a critical factor in deciding the outcome of colon cancer, as is the case with other types of cancers. Recent scientific developments have enabled the use of biomarkers for diagnosis and for designing treatment strategies for various cancer types. Further, identification of potential targets of these biomarkers will facilitate a better understanding of molecular processes. The aim of this study is to analyze microRNA expression profile, and through bioinformatic analyses determine the cellular processes of potential target genes and understand their molecular mechanism in stage IIIA colon cancer patients. The microRNA expression profiles of both normal and tumor tissues of seven patients were analyzed using the Affymetrix microarray system. The target genes were identified by performing a KEGG pathway analysis on eight miRNAs (hsa-miR-362-3p, hsa-miR-34c-5p, hsa-miR-34c-3p, hsa-miR-34a-3p, hsa-miR-19b-1-3p, hsa-miR-371a-5p, hsa-miR-941 ad hsa-miR-7-5p), which were selected through an array scan by using DIANA-miRPath v.3 bioinformatic analysis tool. Biological pathway and cellular component analyses were performed on 30 genes targeted by miRNAs using FunRich Gene Enrichment tool. These analyses indicated that the genes targeted by these eight miRNAs played a role in either cell communication (53%), signal transduction (60%) or apoptosis (20%) in stage IIIA colon cancer. Taken together, these data suggest that these miRNAs can be used as biomarkers in Stage IIIA colon cancer.