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In-Silico Identification Of Prognostically Inversely Correlated Mirnas And Mrnas (Pic’S) In Multiple Cancers, Chirayu Pankaj Goswami, Zi-Xuan Wang

Department of Pathology, Anatomy, and Cell Biology Posters

Despite numerous methods available to identify potential mRNA targets for miRNAs, prognostic relationship of these molecules in diseases like cancers where deregulation of gene expression is a major pathogenic factor, has not yet been emphasized. We performed in-silico identification of prognostically inversely correlated miRNA - mRNA pairs (PIC’s) in multiple cancers using expression data from The Cancer Genome Atlas. Partners in a PIC show inverse correlation of expression and opposite hazard implication. Using a three step approach, we identified a total of 1,253,443 PIC’s from 23 cancer types, several of which have previously been shown to have a predicted or …