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Published in: BMC Cancer 1/2020

Open Access 01-12-2020 | Research article

Long non-coding RNA SNHG15 in various cancers: a meta and bioinformatic analysis

Authors: Caizhi Chen, Yeqian Feng, Jingjing Wang, Ye Liang, Wen Zou

Published in: BMC Cancer | Issue 1/2020

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Abstract

Background

The snoRNA host gene SNHG15 produces a long non-coding RNA (lncRNA) with a short half-life and has been reported to be dysregulated in multiple cancers and has recently been found to be correlated with tumour progression. Therefore, this meta-analysis was performed to evaluate the generalised prognostic role of small nucleolar RNA host gene 15 (SNHG15) in malignancies, based on variable data from different studies.

Methods

Four public databases were used to identify eligible studies. The association between prognostic indicators and clinical features was extracted and pooled to estimate the hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs). Publication bias was measured using Begg’s test and Egger’s test, and the stability of pooled results were measured using sensitivity analysis. Additionally, an online database based on The Cancer Genome Atlas (TCGA) was screened to further validate our results. Ultimately, we predicted the molecular regulation of SNHG15 based on the public databases.

Results

In total, 11 studies including 1087 patients were ultimately enrolled in our meta-analysis. We found that SNHG15 overexpression was associated with worse overall survival (OS) and disease-free survival (DFS), and this was validated in the Gene Expression Profiling Interactive Analysis (GEPIA) cohort. Moreover, increased SNHG15 expression suggested advanced TNM stage and LNM, but was not associated with age, gender, or tumour size. No publication bias or instability of the results was observed. SNHG15 was significantly upregulated in seven cancers and elevated expression of SNHG15 indicated shorter OS and DFS in five malignancies based on the validation using the GEPIA cohort. Further functional prediction indicated that SNHG15 may participate in some cancer-related pathways.

Conclusions

Upregulation of lncRNA SNHG15 was notably associated with worse prognosis and clinical features, suggesting that SNHG15 might serve as a novel prognostic factor in various cancers.
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Metadata
Title
Long non-coding RNA SNHG15 in various cancers: a meta and bioinformatic analysis
Authors
Caizhi Chen
Yeqian Feng
Jingjing Wang
Ye Liang
Wen Zou
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2020
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-020-07649-9

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