| Summary: | Long non-coding RNAs (lncRNAs) have attracted lots of attention worldwide. With the rapid advances in bioinformatics, several lncRNAs have been identified in the last decade. Ample evidence has shown that lncRNAs are involved in different mechanisms and play chief roles in many biological processes. Therefore, dysregulations of lncRNAs are associated with human complex diseases including glioblastoma (GBM). In this study, we have used lncRNA high throughput data analysis and some databases about their expression level, function, etc. Currently, a limited number of GBM-related lncRNAs have been reported experimentally. Therefore, analyzing lncRNA-GBM associations and predicting potential lncRNAs would benefit mechanism understanding, diagnosis, treatment, and prevention of this tumor. Therefore, we applied in silico analysis to find GBM-related lncRNAs and select the most promising lncRNAs for experimental validation. According to the results RP11-573G6.6 and HCG11, lncRNAs play critical role in GBM pathogenesis and could be promising targets in novel therapeutic approaches.
|
|---|