Prognostic value of long non-coding RNA TP73-AS1 expression in different types of cancer: a systematic review and meta-analysis
Electron. j. biotechnol
;
43: 32-40, Jan. 2020. ilus, tab, graf
Artigo
em Inglês
| LILACS
| ID: biblio-1087567
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, and Web 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 1.682.31, P b 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 2.354.64, P b 0.001), larger tumor size (OR = 2.37, 95% CI 1.753.22, P b 0.001), earlier lymph node metastasis (OR = 3.28, 95% CI 1.596.76, P = 0.001), and distant metastasis (OR = 4.94, 95% CI 2.619.37, 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.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Carcinoma
/
Biomarcadores Tumorais
/
Neoplasias
Tipo de estudo:
Estudo prognóstico
/
Revisões Sistemáticas Avaliadas
Idioma:
Inglês
Revista:
Electron. j. biotechnol
Assunto da revista:
Biotecnologia
Ano de publicação:
2020
Tipo de documento:
Artigo
País de afiliação:
China
Instituição/País de afiliação:
People's Hospital of Zhengzhou University/CN
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