Tumoricidal effect of human olfactory ensheathing cell mediated suicide gene therapy in human glioblastoma cells

Effect of multifactorial therapeutic approach on axonal regeneration and cell viability in an in-vitro model of spinal-derived neural injury

The highly debilitated nature of spinal cord injuries (SCI) creates an inhibitory repair environment that limits the recovery rate and therefore single interventional treatment has been resulted in incomplete recovery. A multifactorial approach that combines several therapeutic approaches may address diverse aspects of SCI pathology and enhance the recovery rate over single therapy. Accordingly, in this study, we aimed to investigate the effect of combined olfactory ensheathing cells (OECs) (to transport trophic factor, mediate immunomodulation, provide a suitable environment for cell survival), G-CSF (to establish a favorable environment for cell survival) and lipopolysaccharide (LPS) (to boost the protective activity of OEC) therapy on the cell viability after a scratch injury caused by a cataract knife on cells in an in-vitro model of spinal-derived neural injury. In this study, we used mixed neuronal-glial cultures, which are widely used for an in vitro study of neuronal damage. Scratch insult was made on cells using a cataract knife. The cells were divided into 8 groups (two control groups with and without olfactory ensheathing cells (OECs) treatment, injury group, three injury groups with single therapy by using super low dose of LPS (SLD-LPS) (100 pg/ml), OEC group, and G-CSF (100 ng/ml) group, and two injury groups with combined therapy (OEC with SLD-LPS and with all three treatments)). We found a significant decrease in the survival rate of injured cells (p < 0.001) 24 h after scratching insult. Our results indicated morphological alterations in cells in the acute phase (1, 2 and 6 h) after injury, with significant increased gap size at 6 h after induction of injury. Our combined therapy, significantly prevented cell death and decreased the size of the gap over time. We found that combined therapy promoted cell survival following spinal injury by providing a neuroprotective environment for cells. Therefore, our findings provide new insight into the combined therapy, which can be considered for promising preclinical therapeutic strategy for SCI toward clinical trials.

Identification of potential crucial genes and molecular mechanisms in glioblastoma multiforme by bioinformatics analysis

Glioblastoma multiforme (GBM) is the most common and malignant brain tumor of the adult central nervous system and is associated with poor prognosis. The present study aimed to identify the hub genes in GBM in order to improve the current understanding of the underlying mechanism of GBM. The RNA-seq data were downloaded from The Cancer Genome Atlas database. The edgeR package in R software was used to identify differentially expressed genes (DEGs) between two groups: Glioblastoma samples and normal brain samples. Gene Ontology (GO) functional enrichment analysis and the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed using Database for Annotation, Visualization and Integrated Discovery software. Additionally, Cytoscape and Search Tool for the Retrieval of Interacting Genes/Proteins tools were used for the protein-protein interaction network, while the highly connected modules were extracted from this network using the Minimal Common Oncology Data Elements plugin. Next, the prognostic significance of the candidate hub genes was analyzed using UALCAN. In addition, the identified hub genes were verified by reverse transcription-quantitative (RT-q) PCR. In total, 1,483 DEGs were identified between GBM and control samples, including 954 upregulated genes and 529 downregulated genes (P<0.01; fold-change >16) and these genes were involved in different GO terms and signaling pathways. Furthermore, CDK1, BUB1, BUB1B, CENPA and GNG3 were identified as key genes in the GBM samples. The UALCAN tool verified that higher expression level of CENPA was relevant to poorer overall survival rates. In conclusion, CDK1, BUB1, BUB1B, CENPA and GNG3 were found to be potential biomarkers for GBM. Additionally, ‘cell cycle’ and ‘γ-aminobutyric acid signaling’ pathways may serve a significant role in the pathogenesis of GBM.