| Literature DB >> 33767729 |
Xiaobin Luo1, Tianqi Tu1, Yali Zhong2, Shangyi Xu1, Xiangzhou Chen1, Ligang Chen1,3,4,5, Fubing Yang1,3,4.
Abstract
Glioblastoma accounts for 45.2% of central nervous system tumors. Despite the availability of multiple treatments (e.g., surgery, radiotherapy, chemotherapy, biological therapy, immunotherapy, and electric field therapy), glioblastoma has a poor prognosis, with a 5-year survival rate of approximately 5%. The pathogenesis and prognostic markers of this cancer are currently unclear. To this end, this study aimed to explore the pathogenesis of glioblastoma and identify potential prognostic markers. We used data from the GEO and TCGA databases and identified five genes (ITGA5, MMP9, PTPRN, PTX3, and STX1A) that could affect the survival rate of glioblastoma patients and that were differentially expressed between glioblastoma patients and non-tumors groups. Based on a variety of bioinformatics tools for reverse prediction of target genes associated with the prognosis of GBM, a ceRNA network of messenger RNA (STX1A, PTX3, MMP9)-microRNA (miR-9-5p)-long non-coding RNA (CRNDE) was constructed. Finally, we identified five potential therapeutic drugs (bacitracin, hecogenin, clemizole, chrysin, and gibberellic acid) that may be effective treatments for glioblastoma.Entities:
Keywords: CRNDE; bioinformatics analysis; competing endogenous RNA; glioblastoma; mRNA-miRNA-lncRNA; therapeutic targets
Year: 2021 PMID: 33767729 PMCID: PMC7985093 DOI: 10.3389/fgene.2021.617350
Source DB: PubMed Journal: Front Genet ISSN: 1664-8021 Impact factor: 4.599