MicroRNA-200 and microRNA-30 family as prognostic molecular signatures in ovarian cancer: A meta-analysis.
Medicine (Baltimore)
; 97(32): e11505, 2018 Aug.
Article
em En
| MEDLINE
| ID: mdl-30095616
ABSTRACT
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 (HRâ=â0.78, 95% CI 0.64-0.94) and insignificant association with PFS (HRâ=â0.72, 95% CI 0.50-1.03). Subgroup analysis revealed that an increased expression level of miR-200c was associated with better OS (HRâ=â0.59, 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, HRâ=â0.59, 95% CI 0.42-0.75; miR-200c, HRâ=â0.50, 95% CI 0.14-0.87, miR-141, HRâ=â0.38, 95% CI 0.12-0.63). Similarly, higher expression of miR-30 family was associated with elevated OS/PFS for ovarian cancer (OS, HRâ=â0.43, 95% CI 0.13-0.74; PFS, HRâ=â0.76, 95% CI 0.64-0.87). The OncoLnc dataset presented that elevated expression level of miR-30d-5p was associated with better OS (nâ=â470, Pâ=â.0197).CONCLUSION:
The meta-analysis reveals that miR-200 family and miR-30 family could be promising prognostic biomarkers of ovarian cancer.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Ovarianas
/
MicroRNAs
Tipo de estudo:
Prognostic_studies
/
Systematic_reviews
Limite:
Adult
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Female
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Humans
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Middle aged
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article