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Prognostic significance of microRNA-100 in solid tumors: an updated meta-analysis
OBJECTIVE: The aim of this study was to identify prognostic significance of microRNA-100 (miR-100) in solid tumor. METHODS: Literature search was conducted in databases such as PubMed, Embase, and Web of Science, using the following words “(microRNA-100 OR miR-100 OR mir100) AND (tumor OR neoplasm O...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5271396/ https://www.ncbi.nlm.nih.gov/pubmed/28176958 http://dx.doi.org/10.2147/OTT.S122774 |
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author | Wang, Jiangfeng Yu, Miao Guan, Shanghui Zhang, Guangyu Wang, Jianbo Cheng, Yufeng |
author_facet | Wang, Jiangfeng Yu, Miao Guan, Shanghui Zhang, Guangyu Wang, Jianbo Cheng, Yufeng |
author_sort | Wang, Jiangfeng |
collection | PubMed |
description | OBJECTIVE: The aim of this study was to identify prognostic significance of microRNA-100 (miR-100) in solid tumor. METHODS: Literature search was conducted in databases such as PubMed, Embase, and Web of Science, using the following words “(microRNA-100 OR miR-100 OR mir100) AND (tumor OR neoplasm OR cancer OR carcinoma OR malignancy).” The search was updated up until July 10, 2016. Newcastle–Ottawa scale was used to evaluate the quality of studies. Pooled hazard ratio (HR) with 95% confidence interval (CI) for patients’ survival was calculated by using a fixed-effects or a random-effects model on the basis of heterogeneity. Subgroup analysis, sensitive analysis, and meta-regression were used to investigate the sources of heterogeneity. Publication bias was evaluated by using Begg’s and Egger’s tests. RESULTS: A total of 16 articles with 1,501 patients were included in the present meta-analysis. It was demonstrated that a lower expression of miR-100 plays a negative role in the overall survival (OS) of patients with solid tumor (HR =1.92; 95% CI =1.25–2.94). In addition, the association between miR-100 and prognosis was also revealed in the following subgroups: non-small-cell lung cancer (NSCLC; HR =2.46; 95% CI =1.98–3.06), epithelial ovarian cancer (EOC; HR =2.29, 95% CI =1.72–3.04), and bladder cancer (BC; HR =4.14, 95% CI =1.85–9.27). CONCLUSION: This meta-analysis indicates that lower expression of miR-100 is related to poorer OS in patients with solid tumor, especially in those with NSCLC, EOC, and BC. MiR-100 is a promising prognosis predictor and may be a potential target for therapy in the future. |
format | Online Article Text |
id | pubmed-5271396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-52713962017-02-07 Prognostic significance of microRNA-100 in solid tumors: an updated meta-analysis Wang, Jiangfeng Yu, Miao Guan, Shanghui Zhang, Guangyu Wang, Jianbo Cheng, Yufeng Onco Targets Ther Original Research OBJECTIVE: The aim of this study was to identify prognostic significance of microRNA-100 (miR-100) in solid tumor. METHODS: Literature search was conducted in databases such as PubMed, Embase, and Web of Science, using the following words “(microRNA-100 OR miR-100 OR mir100) AND (tumor OR neoplasm OR cancer OR carcinoma OR malignancy).” The search was updated up until July 10, 2016. Newcastle–Ottawa scale was used to evaluate the quality of studies. Pooled hazard ratio (HR) with 95% confidence interval (CI) for patients’ survival was calculated by using a fixed-effects or a random-effects model on the basis of heterogeneity. Subgroup analysis, sensitive analysis, and meta-regression were used to investigate the sources of heterogeneity. Publication bias was evaluated by using Begg’s and Egger’s tests. RESULTS: A total of 16 articles with 1,501 patients were included in the present meta-analysis. It was demonstrated that a lower expression of miR-100 plays a negative role in the overall survival (OS) of patients with solid tumor (HR =1.92; 95% CI =1.25–2.94). In addition, the association between miR-100 and prognosis was also revealed in the following subgroups: non-small-cell lung cancer (NSCLC; HR =2.46; 95% CI =1.98–3.06), epithelial ovarian cancer (EOC; HR =2.29, 95% CI =1.72–3.04), and bladder cancer (BC; HR =4.14, 95% CI =1.85–9.27). CONCLUSION: This meta-analysis indicates that lower expression of miR-100 is related to poorer OS in patients with solid tumor, especially in those with NSCLC, EOC, and BC. MiR-100 is a promising prognosis predictor and may be a potential target for therapy in the future. Dove Medical Press 2017-01-23 /pmc/articles/PMC5271396/ /pubmed/28176958 http://dx.doi.org/10.2147/OTT.S122774 Text en © 2017 Wang 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 | Original Research Wang, Jiangfeng Yu, Miao Guan, Shanghui Zhang, Guangyu Wang, Jianbo Cheng, Yufeng Prognostic significance of microRNA-100 in solid tumors: an updated meta-analysis |
title | Prognostic significance of microRNA-100 in solid tumors: an updated meta-analysis |
title_full | Prognostic significance of microRNA-100 in solid tumors: an updated meta-analysis |
title_fullStr | Prognostic significance of microRNA-100 in solid tumors: an updated meta-analysis |
title_full_unstemmed | Prognostic significance of microRNA-100 in solid tumors: an updated meta-analysis |
title_short | Prognostic significance of microRNA-100 in solid tumors: an updated meta-analysis |
title_sort | prognostic significance of microrna-100 in solid tumors: an updated meta-analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5271396/ https://www.ncbi.nlm.nih.gov/pubmed/28176958 http://dx.doi.org/10.2147/OTT.S122774 |
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