Abstract

Abstract Background: MicroRNAs (miRs) play a key role in cancer, both in tumorigenesis and tumor progression. In the past years, miR expression signatures have been reported as prognostic biomarkers in different tumor types including bladder cancer (BC). However, miR's expression does not always correlate with activity. We recently developed a novel computational method, named ActMiR, for explicitly inferring the activity of miRs based on the changes in expression levels of target genes. The main objective of this study was to validate the inferred miRs’ activity using BC as a model. Design: We applied ActMiR in 405 BC cases from The Cancer Genome Atlas (TCGA) database for which information from both mRNA and miR expression was available. Different BC cell lines (5637 and HT1376 for basal BC, SW780 and HT1197 for p53-like BC, and RT4 and RT112 for luminal BC) as well as the immortalized urothelial cell line [Human Urothelium cell (HUC)] were used to perform the in vitro functional validation. RNA was extracted from these cells basally and after inhibition of miR106-5p with specific anti-miR inhibitor (Taqman, Life Technologies); miR and target genes’ expression was assessed by qRT-PCR. Results: ActMir analyses revealed that a subset of 306 out of 1044 miRNAs were differentially expressed between tumor and normal samples at p-value<10-4. More importantly, at p-value<10-4, 155 out of 556 miRNAs were functionally active. From these, only four (miR106b, miR532, mir556, and mir134) were significantly differentially expressed, functionally active and showed prognostic significance. We chose to further analyze mir106b because it showed the biggest and most significant difference in activity between normal and cancer cells (p-value<2*10-11). As inferred by ActMir, mir106-5p was significantly overexpressed in all cancer cells when compared to HUC. Basal cells showed the highest fold increase (mean of 39; range: 31-47), followed by luminal (mean of 19; range: 5-32) and p53-like cells (mean of 8; range: 3-13). Inhibition of mir106b-5p was performed to assess whether the predicted target genes were consequently upregulated. Conclusion: Our results underscore the value of ActMir for inferring miR activity in BC from a systems biology perspective. It endorses ActMir as a promising tool for studying casual effects of miR activity on target genes, and ultimately for determining survival outcomes of BC patients. Citation Format: Mireia Castillo-Martin, Ana Collazo Lorduy, EunJee Li, Jun Zhu. Functional validation of microRNA activity inferred by ActMiR in bladder cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1512.

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