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LncRNA as a diagnostic and prognostic biomarker in bladder cancer: a systematic review and meta-analysis
BACKGROUND: Bladder cancer is one of the most common urinary malignancies, and has a high recurrence rate and poor outcomes. In order to identify novel diagnostic and prognostic biomarkers for bladder cancer, we conducted a meta-analysis to analyze the association between long non-coding RNA (lncRNA...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177400/ https://www.ncbi.nlm.nih.gov/pubmed/30323619 http://dx.doi.org/10.2147/OTT.S167853 |
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author | Quan, Jing Pan, Xiang Zhao, Liwen Li, Zuwei Dai, Kangfu Yan, Fangli Liu, Suyue Ma, Hongfei Lai, Yongqing |
author_facet | Quan, Jing Pan, Xiang Zhao, Liwen Li, Zuwei Dai, Kangfu Yan, Fangli Liu, Suyue Ma, Hongfei Lai, Yongqing |
author_sort | Quan, Jing |
collection | PubMed |
description | BACKGROUND: Bladder cancer is one of the most common urinary malignancies, and has a high recurrence rate and poor outcomes. In order to identify novel diagnostic and prognostic biomarkers for bladder cancer, we conducted a meta-analysis to analyze the association between long non-coding RNA (lncRNA) expression and survival in bladder cancer. MATERIALS AND METHODS: We searched literature from databases using our inclusion and exclusion criteria. STATA 14.0 software was used to analyze the data from collected studies and to construct the forest plots. A different effect size was selected for each meta-analysis. RESULTS: After selection, 30 articles were found to be eligible. The present meta-analysis contains data from 13 articles about clinicopathological characteristics, six articles about diagnosis, and 16 articles about prognosis. In the present study, we found that many lncRNAs could function as potential diagnostic and prognostic markers in bladder cancer. Among these findings, UCA1 was expected to be a diagnostic biomarker for bladder cancer, while the aberrant expression of HOTAIR and GAS5 was associated with poor disease-free survival/recurrence-free survival/disease-specific survival. CONCLUSION: Overall, the present study is the first meta-analysis to assess the association between expression of lncRNAs and clinical value in patients with bladder cancer. LncRNAs hold promise as novel diagnostic and prognostic markers in bladder cancer. |
format | Online Article Text |
id | pubmed-6177400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61774002018-10-15 LncRNA as a diagnostic and prognostic biomarker in bladder cancer: a systematic review and meta-analysis Quan, Jing Pan, Xiang Zhao, Liwen Li, Zuwei Dai, Kangfu Yan, Fangli Liu, Suyue Ma, Hongfei Lai, Yongqing Onco Targets Ther Review BACKGROUND: Bladder cancer is one of the most common urinary malignancies, and has a high recurrence rate and poor outcomes. In order to identify novel diagnostic and prognostic biomarkers for bladder cancer, we conducted a meta-analysis to analyze the association between long non-coding RNA (lncRNA) expression and survival in bladder cancer. MATERIALS AND METHODS: We searched literature from databases using our inclusion and exclusion criteria. STATA 14.0 software was used to analyze the data from collected studies and to construct the forest plots. A different effect size was selected for each meta-analysis. RESULTS: After selection, 30 articles were found to be eligible. The present meta-analysis contains data from 13 articles about clinicopathological characteristics, six articles about diagnosis, and 16 articles about prognosis. In the present study, we found that many lncRNAs could function as potential diagnostic and prognostic markers in bladder cancer. Among these findings, UCA1 was expected to be a diagnostic biomarker for bladder cancer, while the aberrant expression of HOTAIR and GAS5 was associated with poor disease-free survival/recurrence-free survival/disease-specific survival. CONCLUSION: Overall, the present study is the first meta-analysis to assess the association between expression of lncRNAs and clinical value in patients with bladder cancer. LncRNAs hold promise as novel diagnostic and prognostic markers in bladder cancer. Dove Medical Press 2018-10-04 /pmc/articles/PMC6177400/ /pubmed/30323619 http://dx.doi.org/10.2147/OTT.S167853 Text en © 2018 Quan et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Review Quan, Jing Pan, Xiang Zhao, Liwen Li, Zuwei Dai, Kangfu Yan, Fangli Liu, Suyue Ma, Hongfei Lai, Yongqing LncRNA as a diagnostic and prognostic biomarker in bladder cancer: a systematic review and meta-analysis |
title | LncRNA as a diagnostic and prognostic biomarker in bladder cancer: a systematic review and meta-analysis |
title_full | LncRNA as a diagnostic and prognostic biomarker in bladder cancer: a systematic review and meta-analysis |
title_fullStr | LncRNA as a diagnostic and prognostic biomarker in bladder cancer: a systematic review and meta-analysis |
title_full_unstemmed | LncRNA as a diagnostic and prognostic biomarker in bladder cancer: a systematic review and meta-analysis |
title_short | LncRNA as a diagnostic and prognostic biomarker in bladder cancer: a systematic review and meta-analysis |
title_sort | lncrna as a diagnostic and prognostic biomarker in bladder cancer: a systematic review and meta-analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177400/ https://www.ncbi.nlm.nih.gov/pubmed/30323619 http://dx.doi.org/10.2147/OTT.S167853 |
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