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MicroRNA-21 and the clinical outcomes of various carcinomas: a systematic review and meta-analysis

BACKGROUND: MicroRNA-21 (miR-21) has been suggested to play a significant role in the prognosis of carcinoma. The recognition of novel biomarkers for the prediction of cancer outcomes is urgently required. However, the potential prognostic value of miR-21 in various types of human malignancy remains...

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Autores principales: Wang, Wenjia, Li, Jinhui, Zhu, Wei, Gao, Chen, Jiang, RuiJingfang, Li, Wenxue, Hu, Qiansheng, Zhang, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232634/
https://www.ncbi.nlm.nih.gov/pubmed/25376700
http://dx.doi.org/10.1186/1471-2407-14-819
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author Wang, Wenjia
Li, Jinhui
Zhu, Wei
Gao, Chen
Jiang, RuiJingfang
Li, Wenxue
Hu, Qiansheng
Zhang, Bo
author_facet Wang, Wenjia
Li, Jinhui
Zhu, Wei
Gao, Chen
Jiang, RuiJingfang
Li, Wenxue
Hu, Qiansheng
Zhang, Bo
author_sort Wang, Wenjia
collection PubMed
description BACKGROUND: MicroRNA-21 (miR-21) has been suggested to play a significant role in the prognosis of carcinoma. The recognition of novel biomarkers for the prediction of cancer outcomes is urgently required. However, the potential prognostic value of miR-21 in various types of human malignancy remains controversial. The present meta-analysis summarises and analyses the associations between miR-21 status and overall survival (OS) in a variety of tumours. METHODS: Eligible published studies were identified by searching the PubMed and Chinese Biomedicine databases. The patients’ clinical characteristics and survival results were pooled, and a pooled hazard ratio (HR) with 95% confidence intervals (95% CI) was used to calculate the strength of this association. A random-effects model was adopted, and then, meta-regression and subgroup analyses were performed. In addition, an analysis of publication bias was also conducted. RESULTS: Twenty-seven eligible articles (including 31 studies) were identified that included survival data for 3273 patients. The pooled HR suggested that high miR-21 was clearly related to worse overall survival (HR = 2.27, 95% CI: 1.81-2.86), with a heterogeneity measure index of I(2) = 76.0%, p = 0.001, showing that miR-21 might be a considerable prognostic factor for poor survival in cancer patients. CONCLUSIONS: MiR-21 might be a potentially useful biomarker for predicting cancer prognosis in future clinical applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2407-14-819) contains supplementary material, which is available to authorized users.
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spelling pubmed-42326342014-11-16 MicroRNA-21 and the clinical outcomes of various carcinomas: a systematic review and meta-analysis Wang, Wenjia Li, Jinhui Zhu, Wei Gao, Chen Jiang, RuiJingfang Li, Wenxue Hu, Qiansheng Zhang, Bo BMC Cancer Research Article BACKGROUND: MicroRNA-21 (miR-21) has been suggested to play a significant role in the prognosis of carcinoma. The recognition of novel biomarkers for the prediction of cancer outcomes is urgently required. However, the potential prognostic value of miR-21 in various types of human malignancy remains controversial. The present meta-analysis summarises and analyses the associations between miR-21 status and overall survival (OS) in a variety of tumours. METHODS: Eligible published studies were identified by searching the PubMed and Chinese Biomedicine databases. The patients’ clinical characteristics and survival results were pooled, and a pooled hazard ratio (HR) with 95% confidence intervals (95% CI) was used to calculate the strength of this association. A random-effects model was adopted, and then, meta-regression and subgroup analyses were performed. In addition, an analysis of publication bias was also conducted. RESULTS: Twenty-seven eligible articles (including 31 studies) were identified that included survival data for 3273 patients. The pooled HR suggested that high miR-21 was clearly related to worse overall survival (HR = 2.27, 95% CI: 1.81-2.86), with a heterogeneity measure index of I(2) = 76.0%, p = 0.001, showing that miR-21 might be a considerable prognostic factor for poor survival in cancer patients. CONCLUSIONS: MiR-21 might be a potentially useful biomarker for predicting cancer prognosis in future clinical applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2407-14-819) contains supplementary material, which is available to authorized users. BioMed Central 2014-11-07 /pmc/articles/PMC4232634/ /pubmed/25376700 http://dx.doi.org/10.1186/1471-2407-14-819 Text en © Wang et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wang, Wenjia
Li, Jinhui
Zhu, Wei
Gao, Chen
Jiang, RuiJingfang
Li, Wenxue
Hu, Qiansheng
Zhang, Bo
MicroRNA-21 and the clinical outcomes of various carcinomas: a systematic review and meta-analysis
title MicroRNA-21 and the clinical outcomes of various carcinomas: a systematic review and meta-analysis
title_full MicroRNA-21 and the clinical outcomes of various carcinomas: a systematic review and meta-analysis
title_fullStr MicroRNA-21 and the clinical outcomes of various carcinomas: a systematic review and meta-analysis
title_full_unstemmed MicroRNA-21 and the clinical outcomes of various carcinomas: a systematic review and meta-analysis
title_short MicroRNA-21 and the clinical outcomes of various carcinomas: a systematic review and meta-analysis
title_sort microrna-21 and the clinical outcomes of various carcinomas: a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232634/
https://www.ncbi.nlm.nih.gov/pubmed/25376700
http://dx.doi.org/10.1186/1471-2407-14-819
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