1. Potential value of microRNA-486 as a prognostic biomarker in patients with non-small cell lung cancer: A protocol for systematic review and meta-analysis
- Author
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Chen, Yanqiong, Zhang, Chao, Pan, Cheng, Yang, Yunkui, Liu, Jin, lv, Jialing, and Pan, Guilin
- Abstract
Background Lung cancer is the leading cause of death among cancer patients worldwide. Close to 85% of lung cancer pathology types are non-small cell lung cancer (NSCLC). With advances in medicine, the survival rate of early-stage NSCLC has improved. However, its overall 5-year survival rate and recurrence rate remain high. The search for potential therapeutic targets in the development of NSCLC provides new avenues for clinical treatment. In recent years, related studies have shown that microRNA-486 (miRNA-486) can promote tumor cell proliferation, infiltration, metastasis and drug resistance, and can be used as a new molecular marker for early diagnosis, prognosis and treatment of tumors. However, the expression and prognosis of miRNA-486 in NSCLC are unclear. Therefore, this study further elucidated the relationship between miRNA-486 expression and prognosis in NSCLC through meta-analysis. In addition, the possible molecular mechanism of miRNA-486 was further analyzed by bioinformatics analysis to provide theoretical basis for the diagnosis, treatment and prognosis of NSCLC patients. Methods Wanfang, Chinese Biomedical Literature Database, Chinese National Knowledge Infrastructure, the Chongqing VIP Chinese Science and Technology Periodical Database, PubMed, Embase, and Web of Science databases were searched. The search was scheduled from the establishment of the database to August 2021. Combined hazard ratios (HRs) and 95% confidence intervals (95% CI) were used to evaluate the effect of miRNA-486 on the prognosis of NSCLC. Stata 16.0 software was used for meta-analysis. The expression of miRNA-486 in NSCLC was analyzed using the GEO database and TCGA database. Survival curves of miRNA-486 differential expression were analyzed by OncomiR. Target genes of miRNA-486 were predicted by TargetScan, miRBase, miRTarBase, starBase V2.0 and miRWalk. Target genes were obtained by the intersection of Venn diagrams. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed using the DAVID database. Results The results of this meta-analysis will be submitted to a peer-reviewed journal for publication. Conclusion This study provides high-quality evidence support for the expression of miRNA-486 and the prognosis of NSCLC. Through bioinformatics analysis, we further discussed the mechanism of miRNA-486 in NSCLC and the understanding of related pathways.
- Published
- 2022
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