P02.03.B Drug repurposing screen reveals glioblastoma cell line susceptibility to statins

Abstract

Abstract Background The standard therapy for glioblastoma patients is tumor resection followed by radiotherapy and temozolomide chemotherapy. Although glioblastoma has been extensively molecularly profiled along with other cancers, this knowledge has not yet been translated into improved survival outcomes. We used a bioinformatics approach to identify potential novel therapeutic strategies for glioblastoma. Objectives: Comprehensive online datasets which have assessed up to 1376 cancer cell lines in multiple ways were interrogated to identify potential drug candidates for glioblastoma. Material and Methods Datasets included were from the cancer cell line encyclopedia (mRNA expression), the Achillies project (cell viability following Crispr-Cas9 knockout) and PRISM (drug treatment). A t-test comparing cell viability of glioblastoma cell lines versus other cancers was used to identify potential drug candidates, followed by the use of multiple statistical tools to investigate potential mechanism of action and status of biomarkers. Results Fluvastatin and pitavastatin were amongst the drugs with the most significant effects against glioblastoma cell lines while also being FDA approved. These effects were found in both glioblastoma cells and other cancer types with a mesenchymal-like expression phenotype. The anti-cancer properties of statins have previously been attributed to the inhibition of HMG-Coa reductase. Here, we found their effects correlated with the gene knockout of UBIAD1. We tested the effects of statins on patient-derived glioblastoma cell lines with a mesenchymal (n = 2) and non-mesenchymal phenotype (n=2). Mesenchymal-like glioblastoma cells lines were found to be more susceptible to statins. Conclusion Statins appeared to be especially effective against glioblastoma lines and the effect could be linked to the direct or indirect inhibition of UBIAD1. In vitro validation of this finding is ongoing.