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MicroRNA-200 and microRNA-30 family as prognostic molecular signatures in ovarian cancer: A meta-analysis
BACKGROUND: MicroRNAs (miRs) play a vital role in the occurrence, development, and progression of human cancers, but its role in the prognosis of ovarian cancer is unclear. METHODS: We performed a meta-analysis by searching PubMed, Embase, and Web of Science databases for eligible studies. The poole...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133642/ https://www.ncbi.nlm.nih.gov/pubmed/30095616 http://dx.doi.org/10.1097/MD.0000000000011505 |
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author | Shi, Min Mu, Yulan Zhang, Hui Liu, Ming Wan, Jipeng Qin, Xiaoyan Li, Changzhong |
author_facet | Shi, Min Mu, Yulan Zhang, Hui Liu, Ming Wan, Jipeng Qin, Xiaoyan Li, Changzhong |
author_sort | Shi, Min |
collection | PubMed |
description | BACKGROUND: MicroRNAs (miRs) play a vital role in the occurrence, development, and progression of human cancers, but its role in the prognosis of ovarian cancer is unclear. METHODS: We performed a meta-analysis by searching PubMed, Embase, and Web of Science databases for eligible studies. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were used to explore the association between miRs expression and overall survival (OS) and progression-free survival (PFS) on ovarian cancer patients. We also used Kaplan–Meier to analyze the relationship between miRs and OS in OncoLnc dataset. RESULTS: A total of 15 records were included into the meta-analysis. The expression level of miR-200 family showed significant association with OS (HR = 0.78, 95% CI: 0.64–0.94) and insignificant association with PFS (HR = 0.72, 95% CI: 0.50–1.03). Subgroup analysis revealed that an increased expression level of miR-200c was associated with better OS (HR = 0.59, 95% CI: 0.45–0.74). An increased expression level of miR-200a, miR-200c, and miR-141 was associated with better PFS (miR-200a, HR = 0.59, 95% CI: 0.42–0.75; miR-200c, HR = 0.50, 95% CI: 0.14–0.87, miR-141, HR = 0.38, 95% CI: 0.12–0.63). Similarly, higher expression of miR-30 family was associated with elevated OS/PFS for ovarian cancer (OS, HR = 0.43, 95% CI: 0.13–0.74; PFS, HR = 0.76, 95% CI: 0.64–0.87). The OncoLnc dataset presented that elevated expression level of miR-30d-5p was associated with better OS (n = 470, P = .0197). CONCLUSION: The meta-analysis reveals that miR-200 family and miR-30 family could be promising prognostic biomarkers of ovarian cancer. |
format | Online Article Text |
id | pubmed-6133642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-61336422018-09-19 MicroRNA-200 and microRNA-30 family as prognostic molecular signatures in ovarian cancer: A meta-analysis Shi, Min Mu, Yulan Zhang, Hui Liu, Ming Wan, Jipeng Qin, Xiaoyan Li, Changzhong Medicine (Baltimore) Research Article BACKGROUND: MicroRNAs (miRs) play a vital role in the occurrence, development, and progression of human cancers, but its role in the prognosis of ovarian cancer is unclear. METHODS: We performed a meta-analysis by searching PubMed, Embase, and Web of Science databases for eligible studies. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were used to explore the association between miRs expression and overall survival (OS) and progression-free survival (PFS) on ovarian cancer patients. We also used Kaplan–Meier to analyze the relationship between miRs and OS in OncoLnc dataset. RESULTS: A total of 15 records were included into the meta-analysis. The expression level of miR-200 family showed significant association with OS (HR = 0.78, 95% CI: 0.64–0.94) and insignificant association with PFS (HR = 0.72, 95% CI: 0.50–1.03). Subgroup analysis revealed that an increased expression level of miR-200c was associated with better OS (HR = 0.59, 95% CI: 0.45–0.74). An increased expression level of miR-200a, miR-200c, and miR-141 was associated with better PFS (miR-200a, HR = 0.59, 95% CI: 0.42–0.75; miR-200c, HR = 0.50, 95% CI: 0.14–0.87, miR-141, HR = 0.38, 95% CI: 0.12–0.63). Similarly, higher expression of miR-30 family was associated with elevated OS/PFS for ovarian cancer (OS, HR = 0.43, 95% CI: 0.13–0.74; PFS, HR = 0.76, 95% CI: 0.64–0.87). The OncoLnc dataset presented that elevated expression level of miR-30d-5p was associated with better OS (n = 470, P = .0197). CONCLUSION: The meta-analysis reveals that miR-200 family and miR-30 family could be promising prognostic biomarkers of ovarian cancer. Wolters Kluwer Health 2018-08-10 /pmc/articles/PMC6133642/ /pubmed/30095616 http://dx.doi.org/10.1097/MD.0000000000011505 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | Research Article Shi, Min Mu, Yulan Zhang, Hui Liu, Ming Wan, Jipeng Qin, Xiaoyan Li, Changzhong MicroRNA-200 and microRNA-30 family as prognostic molecular signatures in ovarian cancer: A meta-analysis |
title | MicroRNA-200 and microRNA-30 family as prognostic molecular signatures in ovarian cancer: A meta-analysis |
title_full | MicroRNA-200 and microRNA-30 family as prognostic molecular signatures in ovarian cancer: A meta-analysis |
title_fullStr | MicroRNA-200 and microRNA-30 family as prognostic molecular signatures in ovarian cancer: A meta-analysis |
title_full_unstemmed | MicroRNA-200 and microRNA-30 family as prognostic molecular signatures in ovarian cancer: A meta-analysis |
title_short | MicroRNA-200 and microRNA-30 family as prognostic molecular signatures in ovarian cancer: A meta-analysis |
title_sort | microrna-200 and microrna-30 family as prognostic molecular signatures in ovarian cancer: a meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133642/ https://www.ncbi.nlm.nih.gov/pubmed/30095616 http://dx.doi.org/10.1097/MD.0000000000011505 |
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