SynthesisBioscience reports2020
High lncSNHG15 expression may predict poor cancer prognosis: a meta-analysis based on the PRISMA and the bio-informatics analysis.
Synthesis in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Diagnostic Accuracy of Exosomal Long Noncoding RNAs in Diagnosis of NSCLC: A Meta-Analysis.Molecular diagnosis & therapy · 2024Pooled it
- Development of a nomogram to predict the prognosis of patients with secondary bone tumors in the intensive care unit: a retrospective analysis based on the MIMIC IV database.Journal of cancer research and clinical oncology · 2024Article
- Association between small nucleolar RNA host gene expression and survival outcome of colorectal cancer patients: A meta-analysis based on PRISMA and bioinformatics analysis.Frontiers in oncology · 2023Article
- Long noncoding RNA SNHG15: A promising target in human cancers.Frontiers in oncology · 2023Review
- LncRNA NEAT1-miR-101-3p/miR-335-5p/miR-374a-3p/miR-628-5p-TRIM6 axis identified as the prognostic biomarker for lung adenocarcinoma via bioinformatics and meta-analysis.Translational cancer research · 2021Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSNHG15 has been reported to be aberrantly expressed in various tumor tissues and could serve as a promising prognostic cancer biomarker. Previous studies on SNHG15 yielded inconsistent results with insufficient sampling. Here, a meta-analysis was conducted to investigate the prognostic value of SNHG15 in multiple cancers.
methodsRelevant studies were retrieved from six electronic databases including PubMed, Cochrane Library, Google Scholar, Embase, Web of Science and China National Knowledge Infrastructure (CNKI). Fifteen publications comprising 1318 patients were included. The publication bias was identified by the Begg's Test, and the sensitivity analysis was also performed.
resultsThe results demonstrated a positive correlation between high expression level of lncSNHG15 and short overall survival (hazard ratio (HR) = 2.07, 95% confidence interval (CI), 1.48-2.88; P<0.0001) and disease-free survival (DFS) (HR = 2.32, 95% CI, 1.53-3.53; P<0.0001). The analysis based on different cancer types showed that SNHG15 had the most prominent prognostic potential in Glioma (HR = 3.81; 95% CI, 0.84-42.69; P=0.28). Moreover, the high expression level of lncSNHG15 indicated advanced TNM stage (OR = 2.52; 95% CI, 1.33-4.76; P=0.00001), lymph node metastasis (OR = 2.41, 95% CI, 0.99-4.81; P=0.05), bigger tumor size (OR = 2.06; 95% CI, 1.03-4.13; P=0.04) and poor histological grade (OR = 2.62, 95% CI, 1.90-3.59; P<0.00001), yet no association with distant metastasis (OR = 1.64, 95% CI, 0.40-6.74; P=0.49), age (OR = 0.98, 95% CI, 0.78-1.22; P=0.84) and gender (OR = 0.9, 95% CI, 0.71-1.14; P=0.3838) was found. Its conclusions further confirmed by exploring TCGA databases.
conclusionIt revealed that lncSNHG15 might be a promising prognostic biomarker of multiple cancer types, especially in Glioma.
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