The prognostic value of lncRNA AGAP2-AS1 in cancer patients: A meta-analysis

Medicine (Baltimore). 2021 Dec 23;100(51):e28425. doi: 10.1097/MD.0000000000028425.

Abstract

Background: ArfGAP with GTPase domain, Ankyrin repeat and PH domain 2 Antisense 1 (AGAP2-AS1) is a promising long noncoding RNA that may possess prognostic value for different types of tumors. The objective of this meta-analysis is to evaluate the prognostic value of long noncoding RNA AGAP2-AS1 in cancer patients.

Methods: A systematic literature search of the PubMed, Cochrane Library, EMBASE, Medline, Web of Science, CNKI, Weipu, and Wanfang electronic databases were carried out in this meta-analysis. Synthetic hazard ratios (HRs) or odd ratios (ORs) with 95% confidence intervals (CIs) were obtained to determine the prognostic and clinicopathological significance of AGAP2-AS1 expression in tumors.

Results: The final meta-analysis included 10 studies that contained 948 patients. The pooled results provided evidence that AGAP2-AS1 overexpression predicted reduced overall survival (OS) (HR = 1.77, 95% CI: 1.49-2.09, P < .00001), disease-free survival (HR = 1.84, 95% CI: 1.40-2.41, P < .0001), and progression-free survival (HR = 1.84, 95% CI: 1.01-3.33, P = .04) and for various cancers. Additionally, the AGAP2-AS1 overexpression was concerned with lymph node metastasis (positive vs negative, OR = 2.95, 95% CI: 1.96-4.45, P < .00001), advanced tumor node metastasis stage (III/IV vs I/II, OR = 3.73, 95% CI: 2.71-5.13, P < .00001), and tumor size (larger vs smaller, OR = 2.28, 95% CI: 1.24-4.18, P = .008). Besides, data from gene expression profiling interactive analysis dataset verified the results in our meta-analysis. The results showed that the expression level of AGAP2-AS1 was higher in most tumor tissues than in the corresponding normal tissues and was linked to poor OS and disease-free survival.

Conclusions: Our results indicated that AGAP2-AS1 overexpression was closely correlated with shorter OS in multiple cancer types, suggesting that AGAP2-AS1 might function as a promising predictor for clinical outcomes in cancer.

Publication types

  • Meta-Analysis

MeSH terms

  • Disease-Free Survival
  • Gene Expression Regulation, Neoplastic / genetics*
  • Humans
  • Kaplan-Meier Estimate
  • Lymphatic Metastasis / genetics*
  • Neoplasms / genetics*
  • Neoplasms / pathology
  • Prognosis
  • Proportional Hazards Models
  • RNA, Long Noncoding / genetics*

Substances

  • RNA, Long Noncoding