Classification of potential pathways affecting the VEGF pathway in glioblastoma multiforme (GBM) recurrent: A bioinformatics study based on differentially expressed- microRNAs

Abstract

Glioblastoma multiforme (GBM) resistance to anti-angiogenesis drugs results in recurrence of the disease which leads to death. The resistance to anti-angiogenesis drugs that target the VEGF pathway is due to the influence of other pathways. This study aimed to identify and classify the pathways that are related to the VEGF pathway in GBM recurrent. The identification of differentially expressed miRNAs (DEmiRNAs) based on GBM GSE profiles (GSE32466) were carried out using a LIMMA R package and VEGF pathway genes in the KEGG database. Pathways related to DEmiRNAs and VEGF pathway genes were discovered by DIANA-miRPath v3.0, NetworkAnalyst and ToppGene databases, respectively. Inhibitory or activity affecting pathways relating to VEGF pathway were obtained based on XTalkDB database. The classification was determined by the KEGG database. There were 1014 genes that were found to have interaction with VEGF signaling pathway genes. One hundred ninteen pathways were achieved which have overlapping genes with the VEGF pathway genes. The MAPK pathway had the most in common genes with the VEGF pathway (39 genes). A total of 91 pathways were identified in 24 different classes. Several pathways significantly affect the VEGF pathway. Hence, it seems necessary to achieve new targets for combination therapies for GBM.