• Medicine · Aug 2021

    Long non-coding RNA as a potential biomarker for prognosis of glioma: A protocol for systematic review and meta-analysis.

    • Teng Xie, Bin Li, Huaming Liu, Chunwei Zhang, Yanhua Wang, Zhijun Chen, and Junping Yan.
    • Department of Neurosurgery, The People's Hospital of Hanchuan, Hanchuan, Hubei province, China.
    • Medicine (Baltimore). 2021 Aug 20; 100 (33): e26921e26921.

    BackgroundThe molecular mechanism of Glioma is still unclear, and there are few early diagnostic markers. Therefore, it is urgent to figure out effective preventive measures, active diagnostic methods and rapid treatment measures. In recent years, relevant studies have revealed that long non-coding RNA (lncRNA) is associated with the prognosis of Glioma. However, these results have not been supported by any evidence. Therefore, this study carried out a meta-analysis method to analyze the relationship between lncRNA and the prognosis of Glioma. In addition, bioinformatics analysis was conducted to investigate the mechanism and related pathways of lncRNAs in Glioma.MethodsWe performed a systematic search in electronic databases, including China National Knowledge Infrastructure, Chinese Biomedical literature Database, Chinese Scientific and Journal Database, Wan Fang database, PubMed, EMBASE, Cochrane Library and Web of Science, to investigate the potential association between lncRNA expression and prognostic significance and clinical features in glioma patients. Hazards ratios (HRs) with corresponding 95% confidence intervals (CIs) were pooled to estimate the prognosis value of lncRNA by Stata16.0 software. The online tool AnnoLnc was applied to screen the co-expressed gene related to each lncRNA, David was used for gene ontology (GO) analysis and enrichment analysis of the signal pathway, and through Starbase, the possible competitive endogenous RNA network of lncRNAs was constructed.ResultsThe results of this meta-analysis would be submitted to peer-reviewed journals for publication.ConclusionThis study will provide evidence-based medical evidence for lncRNA, so as to predict the prognosis of Glioma and bioinformatics analysis will provide ideas for the mechanism study on Glioma.Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

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