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lncRNA-UCA1 in the diagnosis of bladder cancer: A meta-analysis

BACKGROUND: The main purpose of this study is to systematically evaluate the diagnostic value of long-chain non-coding RNA urothelial carcinoembryonic antigen 1 (lncRNA-UCA1) for bladder cancer, and to provide a scientific basis for the diagnosis of bladder cancer. METHODS: By searching PubMed, Web...

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Autores principales: Ding, Zhenshan, Ying, Wenwei, He, Yuhui, Chen, Xing, Jiao, Yangtian, Wang, Jianfeng, Zhou, Xiaofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982181/
https://www.ncbi.nlm.nih.gov/pubmed/33725946
http://dx.doi.org/10.1097/MD.0000000000024805
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author Ding, Zhenshan
Ying, Wenwei
He, Yuhui
Chen, Xing
Jiao, Yangtian
Wang, Jianfeng
Zhou, Xiaofeng
author_facet Ding, Zhenshan
Ying, Wenwei
He, Yuhui
Chen, Xing
Jiao, Yangtian
Wang, Jianfeng
Zhou, Xiaofeng
author_sort Ding, Zhenshan
collection PubMed
description BACKGROUND: The main purpose of this study is to systematically evaluate the diagnostic value of long-chain non-coding RNA urothelial carcinoembryonic antigen 1 (lncRNA-UCA1) for bladder cancer, and to provide a scientific basis for the diagnosis of bladder cancer. METHODS: By searching PubMed, Web of Science, EMBASE, CNKI, Wanfang, Weipu and other databases, in order to collect relevant literature of lncRNA-UCA1 for diagnosis of bladder cancer. The starting and ending time of the search is from the establishment of the database to December 31, 2019. Screen documents and extract data according to inclusion and exclusion criteria. QUADAS entry tool was used to evaluate the quality of literature. Meta-Disc 1.4 and Stata 12.0 software were used for statistical analysis, and UCA1 was combined for the statistics of bladder cancer diagnosis. RESULTS: A total of 7 articles were included in this study, including 954 cases of bladder cancer patients and 482 cases of non-bladder cancer patients. The receiver operating characteristic curve (ROC) curve AUC of lncRNA-UCA1 used to diagnose bladder cancer was 0.86. The sensitivity was 0.83 (95% CI: 0.80–0.85), and the specificity was 0.86 (95% CI: 0.82–0.89). The positive likelihood ratio is 6.38 (95% CI: 3.01–13.55), and the negative likelihood ratio is 0.20 (95% CI: 0.13–0.31). The diagnostic odds ratio is 33.13 (95% CI: 11.16–98.33). CONCLUSION: lncRNA-UCA1 has a high value of clinical auxiliary diagnosis for bladder cancer, and it can be further promoted and applied clinically.
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spelling pubmed-79821812021-03-23 lncRNA-UCA1 in the diagnosis of bladder cancer: A meta-analysis Ding, Zhenshan Ying, Wenwei He, Yuhui Chen, Xing Jiao, Yangtian Wang, Jianfeng Zhou, Xiaofeng Medicine (Baltimore) 7300 BACKGROUND: The main purpose of this study is to systematically evaluate the diagnostic value of long-chain non-coding RNA urothelial carcinoembryonic antigen 1 (lncRNA-UCA1) for bladder cancer, and to provide a scientific basis for the diagnosis of bladder cancer. METHODS: By searching PubMed, Web of Science, EMBASE, CNKI, Wanfang, Weipu and other databases, in order to collect relevant literature of lncRNA-UCA1 for diagnosis of bladder cancer. The starting and ending time of the search is from the establishment of the database to December 31, 2019. Screen documents and extract data according to inclusion and exclusion criteria. QUADAS entry tool was used to evaluate the quality of literature. Meta-Disc 1.4 and Stata 12.0 software were used for statistical analysis, and UCA1 was combined for the statistics of bladder cancer diagnosis. RESULTS: A total of 7 articles were included in this study, including 954 cases of bladder cancer patients and 482 cases of non-bladder cancer patients. The receiver operating characteristic curve (ROC) curve AUC of lncRNA-UCA1 used to diagnose bladder cancer was 0.86. The sensitivity was 0.83 (95% CI: 0.80–0.85), and the specificity was 0.86 (95% CI: 0.82–0.89). The positive likelihood ratio is 6.38 (95% CI: 3.01–13.55), and the negative likelihood ratio is 0.20 (95% CI: 0.13–0.31). The diagnostic odds ratio is 33.13 (95% CI: 11.16–98.33). CONCLUSION: lncRNA-UCA1 has a high value of clinical auxiliary diagnosis for bladder cancer, and it can be further promoted and applied clinically. Lippincott Williams & Wilkins 2021-03-19 /pmc/articles/PMC7982181/ /pubmed/33725946 http://dx.doi.org/10.1097/MD.0000000000024805 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle 7300
Ding, Zhenshan
Ying, Wenwei
He, Yuhui
Chen, Xing
Jiao, Yangtian
Wang, Jianfeng
Zhou, Xiaofeng
lncRNA-UCA1 in the diagnosis of bladder cancer: A meta-analysis
title lncRNA-UCA1 in the diagnosis of bladder cancer: A meta-analysis
title_full lncRNA-UCA1 in the diagnosis of bladder cancer: A meta-analysis
title_fullStr lncRNA-UCA1 in the diagnosis of bladder cancer: A meta-analysis
title_full_unstemmed lncRNA-UCA1 in the diagnosis of bladder cancer: A meta-analysis
title_short lncRNA-UCA1 in the diagnosis of bladder cancer: A meta-analysis
title_sort lncrna-uca1 in the diagnosis of bladder cancer: a meta-analysis
topic 7300
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982181/
https://www.ncbi.nlm.nih.gov/pubmed/33725946
http://dx.doi.org/10.1097/MD.0000000000024805
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