Abstract
Abstract Background. MicroRNAs (miRNAs) are small non-coding RNAs capable of simultaneously regulating multiple gene networks, and affecting breast cancer patients’ outcome. Here we present the development of an online tool for the real-time meta-analysis of published miRNA datasets to identify novel prognostic biomarkers in breast cancer. Methods. First, a comprehensive database was set up by searching GEO, TCGA, and PubMed repositories to identify datasets with published miRNA expression and clinical data. Due to platform differences, each dataset was processed separately. Kaplan-Meier and Cox regression analyses were performed to investigate the prognostic value of a set of dysregulated miRNAs in breast cancer. The complete analysis tool can be accessed online at: www.kmplot.com/mirna. Results. Overall, 2,061 samples from four independent datasets were integrated into the tool including the expression signature of 1,302 distinct miRNAs. In addition to overall survival data, ER status (n = 2,039), histological grade (n = 1,396) and lymph node status (n = 1,933) are also available. By using our online tool, we demonstrated the prognostic value of some of the previous reported miRNAs implicated in breast cancer. For instance, miR-29c, miR-34c, miR-101, miR-125, and miR-190b, showed a consistent prognostic value in at least three out of four breast cancer datasets. Discussion. In summary, we established the first online integrated platform for the rapid identification of the prognostic value of miRNAs in breast cancer. Citation Format: Balázs Győrffy, András Lánczky, Giulia Bottai, Ádám Nagy, András Szabó, Libero Santarpia. Developing an online tool to validate survival-associated miRNAs utilizing expression data from 2,061 breast cancer patients. [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 1958.
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