Literature DB >> 33350775

Prognostic value of microRNA-21 in epithelial ovarian carcinoma: A protocol for systematic review and meta analysis.

Kun Ji1, Xiaohua Wang2, Anqi Zhang3, Hongwei Wen4.   

Abstract

BACKGROUD: The expression of microRNA-21 has been shown to be associated with the prognosis in patients with malignant tumors. However, its prognostic value in epithelial ovarian carcinoma (EOC) remains controversial. This meta-analysis aimed to synthesize available data to clarify the association between microRNA-21 expression levels and clinical prognosis in EOC patients.
METHODS: Eligible literatures were searched from Embase, Google Scholar, PubMed, Web of Science, Medline, Cochrane Library, China Scientific Journal Database, China National Knowledge Infrastructure, Chinese BioMedical Database and Wanfang Database to identify eligible studies. Papers in English or Chinese published from their inception to November 2020 will be included. Methodological quality for each eligible trial will be assessed by using the Newcastle-Ottawa Quality Assessment Scale. Odds ratios or hazards ratios with corresponding 95% confidence intervals were pooled to estimate the prognosis value of microRNA-21 by using Stata 14.0 and Review Manager 5.3 software.
RESULTS: This study will provide a high-quality evidence-based medical evidence of the correlations between microRNA-21 expression and overall survival and disease-free survival.
CONCLUSION: The findings of this systematic review will show the effect of high expression of microRNA-21 on the prognosis of EOC patients. TRIAL REGISTRATION NUMBER: INPLASY2020110064.
Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc.

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Year:  2020        PMID: 33350775      PMCID: PMC7769334          DOI: 10.1097/MD.0000000000023849

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.817


  35 in total

Review 1.  Optimizing treatment in recurrent epithelial ovarian cancer.

Authors:  Giacomo Corrado; Vanda Salutari; Eleonora Palluzzi; Maria Grazia Distefano; Giovanni Scambia; Gabriella Ferrandina
Journal:  Expert Rev Anticancer Ther       Date:  2017-11-06       Impact factor: 4.512

2.  Icariin regulates the proliferation and apoptosis of human ovarian cancer cells through microRNA-21 by targeting PTEN, RECK and Bcl-2.

Authors:  Jingwei Li; Kailei Jiang; Fujie Zhao
Journal:  Oncol Rep       Date:  2015-04-01       Impact factor: 3.906

Review 3.  Epithelial ovarian cancer.

Authors:  Stephanie Lheureux; Charlie Gourley; Ignace Vergote; Amit M Oza
Journal:  Lancet       Date:  2019-03-23       Impact factor: 79.321

Review 4.  Epidemiology and treatment patterns of epithelial ovarian cancer.

Authors:  Philip Jessmon; Talia Boulanger; Wei Zhou; Pallavi Patwardhan
Journal:  Expert Rev Anticancer Ther       Date:  2017-03-22       Impact factor: 4.512

5.  Quantifying publication bias in meta-analysis.

Authors:  Lifeng Lin; Haitao Chu
Journal:  Biometrics       Date:  2017-11-15       Impact factor: 2.571

Review 6.  Ovarian cancer: risk factors, treatment and management.

Authors:  Carolyn Rooth
Journal:  Br J Nurs       Date:  2013 Sep 12-25

7.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

8.  Quantifying the impact of between-study heterogeneity in multivariate meta-analyses.

Authors:  Dan Jackson; Ian R White; Richard D Riley
Journal:  Stat Med       Date:  2012-07-04       Impact factor: 2.373

9.  Serum MicroRNA-21 Negatively Relates to Expression of Programmed Cell Death-4 in Patients with Epithelial Ovarian Cancer

Authors:  Enas H Mahmoud; Amal Fawzy; Reham A A Elshimy
Journal:  Asian Pac J Cancer Prev       Date:  2018-01-27

10.  Impact of mirna-21 on survival prognosis in patients with pancreatic cancer: A protocol for systematic review and meta-analysis.

Authors:  Wei Zhang; Jing Chen; Guoqian He; Wenming Xu; Guolin He
Journal:  Medicine (Baltimore)       Date:  2020-08-28       Impact factor: 1.817

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  1 in total

1.  BPA Decreases PDCD4 in Bovine Granulosa Cells Independently of miR-21 Inhibition.

Authors:  Reem Sabry; Makenna Williams; Nicholas Werry; Jonathan LaMarre; Laura A Favetta
Journal:  Int J Mol Sci       Date:  2022-07-27       Impact factor: 6.208

  1 in total

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