title: Expression profile analysis reveals putative prostate cancer-related microRNAs.
abstract: Annotation of prostate cancer (PC) genomes provides a foundation for discoveries that can improve the understanding and treatment of the disease. Therefore, in the present study, we used the Student t-test to identify differentially expressed PC-related mRNAs and microRNAs (miRNAs). Then, we performed interrelated mapping of miRNA target genes between abnormally expressed mRNAs and miRNAs, and explored mRNA-target miRNA interrelated pairs to explain the biological functions of miRNA during the progression of PC, thus revealing the occurrence of miRNA-mediated PC. After Gene Set Functional Similarity analysis, we obtained 20 abnormal PC-related candidate miRNAs, including hsa-miR-26a, hsa-miR-152, hsa-miR-19a, hsa-miR-30c, hsa-miR-19b, and hsa-miR-146b-5p, among others. These results suggest that it may be possible to predict the clinical behavior of prostate cancer based on gene expression analysis.
authors.affiliation: Department of Urology, The Second Hospital of Shandong University, Jinan, China.
authors.forename: H
authors.initials: H
authors.lastname: Song
authors.forename: Y
authors.initials: Y
authors.lastname: Liu
authors.forename: J
authors.initials: J
authors.lastname: Pan
authors.forename: S T
authors.initials: ST
authors.lastname: Zhao
mesh_terms: D019295:Computational Biology; D030561:Databases, Nucleic Acid; D018450:Disease Progression; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D023281:Genomics / Q000379:methods; D006801:Humans; D008297:Male; D035683:MicroRNAs / Q000235:genetics*; D058977:Molecular Sequence Annotation; D011471:Prostatic Neoplasms / Q000235:genetics* / Q000473:pathology; D014158:Transcription, Genetic
chemical_list: D035683:MicroRNAs