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Long Noncoding RNA PVT1 as a Novel Predictor of Metastasis, Clinicopathological Characteristics and Prognosis in Human Cancers: a Meta-Analysis
The present meta-analysis aimed to systematically evaluates the metastasis, clinical stage, and prognostic value regarding the expression levels of PVT1 in various cancers. Relevant literatures were searched in PubMed、Cochrane Library、Wed of science、Embase databases、Chinese National Knowledge Infras...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614374/ https://www.ncbi.nlm.nih.gov/pubmed/30083911 http://dx.doi.org/10.1007/s12253-018-0451-3 |
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author | Liu, Congmin Jin, Jing Liang, Di Gao, Zhaoyu Zhang, Yachen Guo, Tiantian He, Yutong |
author_facet | Liu, Congmin Jin, Jing Liang, Di Gao, Zhaoyu Zhang, Yachen Guo, Tiantian He, Yutong |
author_sort | Liu, Congmin |
collection | PubMed |
description | The present meta-analysis aimed to systematically evaluates the metastasis, clinical stage, and prognostic value regarding the expression levels of PVT1 in various cancers. Relevant literatures were searched in PubMed、Cochrane Library、Wed of science、Embase databases、Chinese National Knowledge Infrastructure and Wanfang from inception up to 22 August 2017. After data were extracted, a meta-analysis was performed using Review Manager 5.3 and Stata 12.0 software. The meta-analysis showed that high expression of PVT1 could predict more lymph node metastasis (LNM) (Odds ratio, OR = 2.83, 95% confidence interval, CI: 1.76–4.54, P < 0.0001), distant metastasis (DM) (OR = 3.60, 95% CI: 1.08–12.03, P = 0.04), advanced clinical stage (OR = 4.37, 95% CI: 3.45–5.54, P < 0.00001) and poor overall survival (Hazard ratio, HR = 2.08, 95% CI: 1.82–2.37, P < 0.00001)in cancer. Subgroup analysis in different systems also showed the same results, including respiratory system、digestive system、urinary system and other systems, especially in respiratory system (LNM, OR = 4.57, 95% CI: 2.41–8.68, P < 0.00001; clinical stage, OR = 5.59, 95% CI: 3.59–8.71, P < 0.00001; OS, HR = 2.43, 95% CI: 1.98–2.99, P < 0.00001). These results suggest that PVT1 could serve as a novel biomarker for metastasis, clinical stage and poor prognosis in various tumors. |
format | Online Article Text |
id | pubmed-6614374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-66143742019-07-28 Long Noncoding RNA PVT1 as a Novel Predictor of Metastasis, Clinicopathological Characteristics and Prognosis in Human Cancers: a Meta-Analysis Liu, Congmin Jin, Jing Liang, Di Gao, Zhaoyu Zhang, Yachen Guo, Tiantian He, Yutong Pathol Oncol Res Book Review The present meta-analysis aimed to systematically evaluates the metastasis, clinical stage, and prognostic value regarding the expression levels of PVT1 in various cancers. Relevant literatures were searched in PubMed、Cochrane Library、Wed of science、Embase databases、Chinese National Knowledge Infrastructure and Wanfang from inception up to 22 August 2017. After data were extracted, a meta-analysis was performed using Review Manager 5.3 and Stata 12.0 software. The meta-analysis showed that high expression of PVT1 could predict more lymph node metastasis (LNM) (Odds ratio, OR = 2.83, 95% confidence interval, CI: 1.76–4.54, P < 0.0001), distant metastasis (DM) (OR = 3.60, 95% CI: 1.08–12.03, P = 0.04), advanced clinical stage (OR = 4.37, 95% CI: 3.45–5.54, P < 0.00001) and poor overall survival (Hazard ratio, HR = 2.08, 95% CI: 1.82–2.37, P < 0.00001)in cancer. Subgroup analysis in different systems also showed the same results, including respiratory system、digestive system、urinary system and other systems, especially in respiratory system (LNM, OR = 4.57, 95% CI: 2.41–8.68, P < 0.00001; clinical stage, OR = 5.59, 95% CI: 3.59–8.71, P < 0.00001; OS, HR = 2.43, 95% CI: 1.98–2.99, P < 0.00001). These results suggest that PVT1 could serve as a novel biomarker for metastasis, clinical stage and poor prognosis in various tumors. Springer Netherlands 2018-08-06 2019 /pmc/articles/PMC6614374/ /pubmed/30083911 http://dx.doi.org/10.1007/s12253-018-0451-3 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Book Review Liu, Congmin Jin, Jing Liang, Di Gao, Zhaoyu Zhang, Yachen Guo, Tiantian He, Yutong Long Noncoding RNA PVT1 as a Novel Predictor of Metastasis, Clinicopathological Characteristics and Prognosis in Human Cancers: a Meta-Analysis |
title | Long Noncoding RNA PVT1 as a Novel Predictor of Metastasis, Clinicopathological Characteristics and Prognosis in Human Cancers: a Meta-Analysis |
title_full | Long Noncoding RNA PVT1 as a Novel Predictor of Metastasis, Clinicopathological Characteristics and Prognosis in Human Cancers: a Meta-Analysis |
title_fullStr | Long Noncoding RNA PVT1 as a Novel Predictor of Metastasis, Clinicopathological Characteristics and Prognosis in Human Cancers: a Meta-Analysis |
title_full_unstemmed | Long Noncoding RNA PVT1 as a Novel Predictor of Metastasis, Clinicopathological Characteristics and Prognosis in Human Cancers: a Meta-Analysis |
title_short | Long Noncoding RNA PVT1 as a Novel Predictor of Metastasis, Clinicopathological Characteristics and Prognosis in Human Cancers: a Meta-Analysis |
title_sort | long noncoding rna pvt1 as a novel predictor of metastasis, clinicopathological characteristics and prognosis in human cancers: a meta-analysis |
topic | Book Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614374/ https://www.ncbi.nlm.nih.gov/pubmed/30083911 http://dx.doi.org/10.1007/s12253-018-0451-3 |
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