Abstract 248: Dynamic multi-OMICS analysis of glioblastoma cells reveals context of vulnerability to neddylation inhibition by pevonedistat
Authors: Shayesteh R. Ferdosi, Brett Taylor, Nanyun Tang, Rita Bybee, Sen Peng, Victoria David-Dirgo, Krystine Garcia-Mansfield, Ritin Sharma, Patrick Pirrotte, Michael Berens, Harshil Dhruv
Journal: Cancer Research (2019)

Abstract As the most lethal primary brain tumor, glioblastoma multiforme (GBM) calls for novel therapeutic development. Global over activation of neddylation (a post-translational modification) has recently been found in GBM patients and has correlated with shorter patient survival. Significant accumulation of neddylation in recurrent GBM tissues indicates its importance in tumorigenesis and tumor progression. Analogous to the ubiquitination pathway, neddylation is essential to many protein regulation and biological processes. Although most well-characterized substrates of neddylation are the cullin subunits of Cullin-RING ligases (CRLs), non-cullin NEDD8 substrates have been investigated in recent years. Neddylation and subsequent degradation of PARC, p53, MDM2 and EGFR exemplify the broader functional role of neddylation. The neddylation inhibitor MLN4924 targets NEDD8 Activating Enzyme (NAE), an upstream activator of neddylation, and, as a result, induces cell cycle arrest, apoptosis and senescence in cancer cells. In this work, we investigated the context of vulnerability to Pevonedistat (MLN4924) in GBM by comparing the dynamic response of sensitive and non-sensitive cells using transcriptomics and proteomics profiling, using long-established and patient derived glioma cell lines. Efficacy of MLN4924 in glioma cell models was evaluated by measuring cell viability (CellTiterGlo®), colony formation efficiency, and cell cycle progression (flow cytometry with propidium iodide staining). GB1 (IC50= 0.28 μM), LN18 (IC50 = 0.19 μM), and GBM43 (IC50= 0.45 μM) were established as sensitive and M059K (IC50= 5.5 μM), SNU1105 (IC50 = 20.9 μM), and GBM39 (IC50= 10.3 μM) as non-sensitive cell lines based on IC50 values. Western blot analysis of known cell cycle regulatory pathways and DNA damage response pathway did not show significant dynamic differences between sensitive and non-sensitive glioma cell models. To discover genomic and/or proteomic markers of differential response we collected RNA and protein for LN18 (sensitive) and SNU1105 (Non-sensitive) cells after 0, 2, 8 and 24 h treatment with MLN4924 at 100 nM and 500 nM concentration for transcriptomics and proteomics analysis. RNA sequencing was utilized for dynamic transcriptomic analysis. Cell lysates were processed using bottom-up proteomics workflow and the data was acquired on a Thermo Scientific Orbitrap Fusion Lumos Tribrid mass spectrometer. Proteins were identified by querying spectral data against canonical and RNA-Seq predicted proteins and differential analysis was carried out to identify candidate determinats of vulnerability. An understanding of determinants of vulnerability to MLN4924 will expand knowledge of neddylation’s role in cancer and may point to signatures of GBM patients most likely to respond to this targeted intervention. Citation Format: Shayesteh R. Ferdosi, Brett Taylor, Nanyun Tang, Rita Bybee, Sen Peng, Victoria David-Dirgo, Krystine Garcia-Mansfield, Ritin Sharma, Patrick Pirrotte, Michael Berens, Harshil Dhruv. Dynamic multi-OMICS analysis of glioblastoma cells reveals context of vulnerability to neddylation inhibition by pevonedistat [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 248.