Integrative molecular bioinformatics study of human adrenocortical tumors: MicroRNA, tissue-specific target prediction, and pathway analysis

摘要: MicroRNAs (miRs) are involved in the pathogenesis of several neoplasms; however, there no data on their expression patterns and possible roles adrenocortical tumors. Our objective was to study tumors by an integrative bioinformatics analysis involving miR transcriptomics profiling, pathway analysis, a novel, tissue-specific target prediction approach. Thirty-six tissue samples including normal tissues, benign adenomas, carcinomas (ACC) were studied simultaneous mRNA profiling. A novel data-processing software used identify all predicted miR―mRNA interactions retrieved from PicTar, TargetScan, miRBase. Tissue-specific achieved filtering out mRNAs with undetectable searching for targets inverse alterations as regulatory miRs. Target sets significant microarray subjected Ingenuity Pathway Analysis. Six miRs significantly different found. miR-184 miR-503 showed higher, whereas miR-511 miR-214 lower ACCs than other groups. Expression miR-210 cortisol-secreting adenomas ACCs. By calculating difference between dCT (delta cycle threshold), could be distinguished high sensitivity specificity. revealed involvement G2/M checkpoint damage ACC pathogenesis. To our knowledge, this is first report describing sporadic biomarkers may helpful diagnosis malignancy. This approach too.