4.7 Review

The prognostic value of lncRNA SNHG6 in cancer patients

Journal

CANCER CELL INTERNATIONAL
Volume 20, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12935-020-01383-9

Keywords

Cancer; Prognosis; Long no-coding RNA; SNHG6

Categories

Funding

  1. Zhejiang Medical and Health Science and Technology Project [2020KY542]
  2. National Natural Science Foundation of China [81702500]

Ask authors/readers for more resources

BackgroundAlthough tremendous improvement has been seen in cancer diagnosis and treatment, its morbidity and mortality is still high due to lack of ideal biomarkers. An increasing number of studies have demonstrated that the expression of lncRNA small nucleolar RNA host gene 6 (SNHG6) has significantly negative correlation with various cancer prognosis. The present meta-analysis was aimed to clarify the potential of clinical application of SNHG6 in cancers.MethodsA detailed literature review was conducted by searching through PubMed and Web of Science databases. The expression level of SNHG6, clinicopathological features and survival outcomes were extracted from eligible studies. Pooled analysis was performed with a DerSimonian-Laird random-effect model. The results were further validated through the Cancer Genome Atlas (TCGA) dataset.ResultsFive studies with a total of 487 cases were finally included in this meta-analysis. The results demonstrated that a high expression of SNHG6 was significantly associated with an increased risk of poor overall survival (OS) in cancer patients (HR=2.06, 95% CI 1.56-2.73). Similar results from the TCGA dataset further confirmed our findings.ConclusionsOverexpressed SNHG6 was significantly associated with poor prognosis in various cancers. Therefore, SNHG6 may become a novel molecular target for treatment and prognostic evaluation.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available