Abstract
BackgroundGlioma is the most common central nervous system tumor with a poor survival rate and prognosis. Previous studies have found that long non-coding RNA (lncRNA) and competitive endogenous RNA (ceRNA) play important roles in regulating various tumor mechanisms. We obtained RNA-Seq data of glioma and normal brain tissue samples from TCGA and GTEx databases and extracted the lncRNA and mRNA expression data. Further, we analyzed these data using weighted gene co-expression network analysis and differential expression analysis, respectively. Differential expression analysis was also carried out on the mRNA data from the GEO database. Further, we predicted the interactions between lncRNA, miRNA, and targeted mRNA. Using the CGGA data to perform univariate and multivariate Cox regression analysis on mRNA.ResultsWe constructed a Cox proportional hazard regression model containing four mRNAs and performed immune infiltration analysis. Moreover, we also constructed a ceRNA network including 21 lncRNAs, two miRNAs, and four mRNAs, and identified seven lncRNAs related to survival that have not been previously studied in gliomas. Through the gene set enrichment analysis, we found four lncRNAs that may have a significant role in tumors and should be explored further in the context of gliomas.ConclusionsIn short, we identified four lncRNAs with research value for gliomas, constructed a ceRNA network in gliomas, and developed a prognostic prediction model. Our research enhances our understanding of the molecular mechanisms underlying gliomas, providing new insights for developing targeted therapies and efficiently evaluating the prognosis of gliomas.
Highlights
Glioma is the most common central nervous system tumor with a poor survival rate and prognosis
It is evident that some long non-coding RNA (lncRNA) having carcinogenic or tumor suppression effects and participate in a variety of tumor molecular mechanisms, which can be used as molecular biomarkers of cancer [11]
DElncRNAs and differentially expressed mRNAs (DEmRNAs) From the The Cancer Genome Atlas (TCGA) and Genotype Tissue Expression (GTEx) combined dataset, we identified differentially expressed (DE) lncRNAs and mRNAs, including 194 upregulated and 280 downregulated lncRNAs, and 2223 upregulated and 2334 downregulated mRNAs
Summary
Glioma is the most common central nervous system tumor with a poor survival rate and prognosis. We obtained RNA-Seq data of glioma and normal brain tissue samples from TCGA and GTEx databases and extracted the lncRNA and mRNA expression data. We analyzed these data using weighted gene co-expression network analysis and differential expression analysis, respectively. In glioma, when the expression of H19 increases, the expression of miR-152 decreases; the downregulation of H19 can negatively regulate the expression of miR-152 to inhibit the proliferation and invasion of glioma cells [12] Another lncRNA, NEAT1, promotes the occurrence and development of gliomas by regulating the miR-185-5p/DNMT1/mTOR signaling pathway [13]. LncRNAs have a variety of roles in different tumors, with increasing research on their role in gliomas
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
