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LncRNA AWPPH as a prognostic predictor in human cancers in Chinese population: evidence from meta-analysis

Background: Long non-coding RNA associated with poor prognosis of hepatocellular carcinoma (AWPPH) is dysregulated in a variety of human cancers. However, the prognostic value of AWPPH in various cancers remains unclear. Methods: Comprehensive literature search was performed in PubMed, Web of Scienc...

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Autores principales: Li, Yongfeng, Rui, Xinmiao, Chen, Daobao, Xuan, Haojun, Yang, Hongjian, Meng, Xuli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188174/
https://www.ncbi.nlm.nih.gov/pubmed/34042153
http://dx.doi.org/10.1042/BSR20210012
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author Li, Yongfeng
Rui, Xinmiao
Chen, Daobao
Xuan, Haojun
Yang, Hongjian
Meng, Xuli
author_facet Li, Yongfeng
Rui, Xinmiao
Chen, Daobao
Xuan, Haojun
Yang, Hongjian
Meng, Xuli
author_sort Li, Yongfeng
collection PubMed
description Background: Long non-coding RNA associated with poor prognosis of hepatocellular carcinoma (AWPPH) is dysregulated in a variety of human cancers. However, the prognostic value of AWPPH in various cancers remains unclear. Methods: Comprehensive literature search was performed in PubMed, Web of Science, CNKI and Wangfang databases, and eligible studies were obtained according to the inclusion and exclusion criteria. The pooled hazard ratios (HRs) and odds ratios (ORs) were applied to assess the clinical value of AWPPH expression for overall survival (OS) and clinicopathological features. Results: A total of 19 articles including 1699 cancer patients were included in the study. The pooled results demonstrated that evaluated AWPPH expression was positively related to a poorer overall survival of patients with cancers (HR = 1.79, 95%CI: 1.44–2.14, P<0.001). Subgroup analysis revealed that tumor type and sample size affect the predictive value of AWPPH on OS, whereas cut-off value and HR estimation method have no impact on it. In addition, the pooled data also showed that AWPPH was positively linked to advanced TNM stage (OR = 2.50, 95%CI: 1.94–3.22, P<0.001), bigger tumor size (OR = 2.64, 95%CI: 1.47–4.73, P=0.001), macro-vascular invasion (OR = 2.08, 95%CI: 1.04–4.16, P=0.04) and lymph node metastasis (OR = 2.68, 95%CI: 1.82–3.96, P<0.001). Moreover, the results of the trim and fill analysis confirmed the reliability of our finding. Conclusions: Up-regulation of AWPPH was associated with advanced TNM stage, bigger tumor size, worse lymph node metastasis, macro-vascular invasion and shorter overall survival, suggesting that AWPPH may serve as a biomarker for prognosis and clinicopathological characteristics in human cancers among the Chinese population.
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spelling pubmed-81881742021-06-21 LncRNA AWPPH as a prognostic predictor in human cancers in Chinese population: evidence from meta-analysis Li, Yongfeng Rui, Xinmiao Chen, Daobao Xuan, Haojun Yang, Hongjian Meng, Xuli Biosci Rep Cancer Background: Long non-coding RNA associated with poor prognosis of hepatocellular carcinoma (AWPPH) is dysregulated in a variety of human cancers. However, the prognostic value of AWPPH in various cancers remains unclear. Methods: Comprehensive literature search was performed in PubMed, Web of Science, CNKI and Wangfang databases, and eligible studies were obtained according to the inclusion and exclusion criteria. The pooled hazard ratios (HRs) and odds ratios (ORs) were applied to assess the clinical value of AWPPH expression for overall survival (OS) and clinicopathological features. Results: A total of 19 articles including 1699 cancer patients were included in the study. The pooled results demonstrated that evaluated AWPPH expression was positively related to a poorer overall survival of patients with cancers (HR = 1.79, 95%CI: 1.44–2.14, P<0.001). Subgroup analysis revealed that tumor type and sample size affect the predictive value of AWPPH on OS, whereas cut-off value and HR estimation method have no impact on it. In addition, the pooled data also showed that AWPPH was positively linked to advanced TNM stage (OR = 2.50, 95%CI: 1.94–3.22, P<0.001), bigger tumor size (OR = 2.64, 95%CI: 1.47–4.73, P=0.001), macro-vascular invasion (OR = 2.08, 95%CI: 1.04–4.16, P=0.04) and lymph node metastasis (OR = 2.68, 95%CI: 1.82–3.96, P<0.001). Moreover, the results of the trim and fill analysis confirmed the reliability of our finding. Conclusions: Up-regulation of AWPPH was associated with advanced TNM stage, bigger tumor size, worse lymph node metastasis, macro-vascular invasion and shorter overall survival, suggesting that AWPPH may serve as a biomarker for prognosis and clinicopathological characteristics in human cancers among the Chinese population. Portland Press Ltd. 2021-06-08 /pmc/articles/PMC8188174/ /pubmed/34042153 http://dx.doi.org/10.1042/BSR20210012 Text en © 2021 The Author(s). https://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Cancer
Li, Yongfeng
Rui, Xinmiao
Chen, Daobao
Xuan, Haojun
Yang, Hongjian
Meng, Xuli
LncRNA AWPPH as a prognostic predictor in human cancers in Chinese population: evidence from meta-analysis
title LncRNA AWPPH as a prognostic predictor in human cancers in Chinese population: evidence from meta-analysis
title_full LncRNA AWPPH as a prognostic predictor in human cancers in Chinese population: evidence from meta-analysis
title_fullStr LncRNA AWPPH as a prognostic predictor in human cancers in Chinese population: evidence from meta-analysis
title_full_unstemmed LncRNA AWPPH as a prognostic predictor in human cancers in Chinese population: evidence from meta-analysis
title_short LncRNA AWPPH as a prognostic predictor in human cancers in Chinese population: evidence from meta-analysis
title_sort lncrna awpph as a prognostic predictor in human cancers in chinese population: evidence from meta-analysis
topic Cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188174/
https://www.ncbi.nlm.nih.gov/pubmed/34042153
http://dx.doi.org/10.1042/BSR20210012
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