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Prognostic value of long non-coding RNA TP73-AS1 expression in different types of cancer: A systematic review and meta-analysis.

Authors :
Xiaoqing Wang
Kunpeng Shu
Zhifeng Wang
Degang Ding
Xing Li
Source :
Electronic Journal of Biotechnology. Jan2020, Vol. 43, p32-40. 9p.
Publication Year :
2020

Abstract

Background: TP73 antisense RNA 1 (TP73-AS1), a newly discovered long non-coding RNA (lncRNA), has been reported to be upregulated in various kinds of tumors, and shows a variable influence on living quality and prognosis of patients. Thus, we conducted a meta-analysis to evaluate the overall prognostic value of the lncRNA TP73-AS1 in cancer patients. Results: A systematic literature retrieval was carried out using the PubMed, Cochrane Library, EMBASE, andWeb of Science databases. We calculated the pooled hazard ratio (HR) and odds ratio (OR) with 95% confidence intervals (CIs) to evaluate the association of TP73-AS1 expression with prognostic and clinicopathological parameters. A total of 15 studies including 1057 cancer patients were finally selected for the meta-analysis. The results demonstrated that high TP73-AS1 expression was significantly associated with shorter overall survival (OS) (HR = 1.97, 95% CI: 1.68-2.31, P < 0.001). According to a fixed-effects or random-effects model, elevated TP73-AS1 expression markedly predicted advanced clinical stage (OR = 3.30, 95% CI: 2.35-4.64, P < 0.001), larger tumor size (OR = 2.37, 95% CI: 1.75-3.22, P < 0.001), earlier lymph node metastasis (OR = 3.28, 95% CI: 1.59-6.76, P = 0.001), and distant metastasis (OR = 4.94, 95% CI: 2.61-9.37, P b 0.001). Conclusions: High lncRNA TP73-AS1 expression appears to be predictive of a worse OS and clinicopathologic features for patients with various types of malignant tumors. These results provide a basis for utilizing TP73- AS1 expression as an unfavorable indicator to predict survival outcomes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07173458
Volume :
43
Database :
Academic Search Index
Journal :
Electronic Journal of Biotechnology
Publication Type :
Academic Journal
Accession number :
141816341
Full Text :
https://doi.org/10.1016/j.ejbt.2019.12.005