Abstract

Glioblastoma (GBM), originating in the brain, is a universally aggressive malignant tumor with a particularly poor prognosis. Therefore, insight into the critical role of underlying genetic mechanisms is essential to developing new therapeutic approaches. This study aims to identify potential markers with clinical and prognostic significance in GBM. To this end, increasing numbers of differentially expressed RNA have been identified used to construct competitive endogenous RNA networks for prognostic analysis via comparison and analysis of RNA expression levels of tumor and normal tissues in glioblastoma. This analysis demonstrated that the RNA expression patterns of normal and tumor samples were significantly different. Thus, the resulting differentially expressed RNAs were used to construct competitive endogenous RNA (competing endogenous RNA, ceRNA) networks. The functional enrichment indicated mRNAs in the network are critically involved in a variety of biological functions. Additionally, the prognostic analysis suggested 27 lncRNAs, including LOXL1-AS1, AL356414.1, etc., were significantly associated with patient survival. Given the prognostic significance of these 27 lncRNAs in GBM, we sought to classify the samples. Importantly, Kaplan-Meier analysis revealed that survival times varied significantly among the different categories. Overall, these results identify that the candidate lncRNAs are potential prognostic markers of GBM and its corresponding mRNAs may be a potential target for therapy.

Highlights

  • Long non-coding RNAs, a series of transcript RNAs longer than 200 nucleotides, plays a very crucial role in biological processes, such as cell proliferation, cell apoptosis, and cell cycle regulation (Zhang et al, 2020)

  • GBM is a common aggressive brain cancer which occurs in the central nervous system with a known poor prognosis and limited treatment options (Xiao et al, 2020)

  • Competitive endogenous RNA regulatory network has been confirmed to regulate expression based on competitive mechanisms and play a crucial part in multiple tumor pathological and physiological processes. competing endogenous RNAs (ceRNAs) are significant mechanisms by which Long non-coding RNAs (lncRNAs) regulating gene expression may exert huge influences on cancer

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Summary

Introduction

Long non-coding RNAs (lncRNAs), a series of transcript RNAs longer than 200 nucleotides, plays a very crucial role in biological processes, such as cell proliferation, cell apoptosis, and cell cycle regulation (Zhang et al, 2020). Accumulating studies reported that lncRNA can be involved in the regulation of competitive endogenous RNA (ceRNAs) to communicate with other RNA transcripts (Calin et al, 2007; Arvey et al, 2010; Ebert and Sharp, 2010). LncRNA can function as an endogenous molecular sponge, indirectly regulating downstream mRNA expression levels by having shared microRNA response elements with reverse complementary binding seed regions competitively binding to miRNA, and subsequently involved in cancer development (Bai et al, 2019; Sun et al, 2020). It has been documented that ceRNAs play a regulatory role in gene expression and is involved in the pathogenesis of Potential Prognostic Biomarkers for Glioblastoma diseases such as cancer (Tay et al, 2011). It is valuable to dissect the ceRNA network for understanding the underlying molecular mechanisms of cancer development

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