Clinicopathological and prognostic significance of long non-coding RNA EWSAT1 in human cancers: A review and meta analysis

PLoS One. 2022 Mar 14;17(3):e0265264. doi: 10.1371/journal.pone.0265264. eCollection 2022.

Abstract

Background: Ewing sarcoma-associated transcript 1 (lncRNA EWSAT1) is reported to have a close relationship with the overall survival in many cancers. However, the role of its prognosis and correlations with the clinicopathological features in different cancers haven't been explored yet. Herein, we intend to assess the prognostic value and correlations with the clinicopathological features in several cancers.

Methods: PubMed, Embase, Web of Science, and The Cochrane Library were searched for literature review from inception to October 25, 2021. Valid data was extracted to make forest and sensitivity analysis plots using Review Manager 5.4 and Stata software. Hazard ratio (HR) or odds ratio (OR) with 95% confidence interval (CI) was used to evaluate the relationship between different expression of EWSAT1 and patients' prognosis and clinicopathological features.

Results: 7 studies were screened for this review, including 550 samples. Meta-analysis showed that high expression of lncRNA EWSAT1 was associated with poor overall survival (OS) (HR = 2.10, 95% CI, 1.60-2.75, p < 0.0001) in cancers reported. In addition, patients in high expression group of EWAST1 tended to have more metastasis (OR = 2.20, 95% CI 1.47-3.31, p = 0.0001), and higher TNM stage (I+II vs. III: OR = 0.34, 95% CI 0.21-0.56, p < 0.0001), but in the same time with higher differentiation (well + moderate vs. Poor: OR = 2.21, 95% CI 1.02-4.76, p = 0.04). Age (OR = 1.47, 95% CI 0.94-2.30, p = 0.09) was not significantly different in patients with aberrant expression of EWSAT1.

Conclusions: Our study shows that high expression of EWSAT1 may indicate poor overall survival and associated with several clinicopathological features, which can be used as a potential prognosis biomarker for multiple cancers.

Publication types

  • Meta-Analysis
  • Review

MeSH terms

  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism
  • Humans
  • Neoplasms* / diagnosis
  • Neoplasms* / genetics
  • Prognosis
  • Proportional Hazards Models
  • RNA, Long Noncoding* / genetics
  • RNA, Long Noncoding* / metabolism

Substances

  • Biomarkers, Tumor
  • RNA, Long Noncoding

Grants and funding

The author(s) received no specific funding for this work.