Literature DB >> 25790954

Prognostic Role of microRNA-21 Expression in Brain Tumors: a Meta-analysis.

Xiao-Yan He1, Yu-Dong Liao2, Xiao-Qing Guo1, Robin Wang3, Zhen-Yu Xiao4, Yan-Gang Wang5.   

Abstract

Many studies have shown that microRNAs have important roles in the development and progression of various cancers. Recent studies also showed that microRNA-21 expression may be associated with the prognosis of patients with several common cancers. However, there was still lack of evidence for the prognostic role of microRNA-21 expression in brain tumors. We performed a systemic review and meta-analysis of published and unpublished studies to assess the prognostic role of microRNA-21 expression in patients with brain tumors. PubMed, Embase, and Google Scholar databases were searched for eligible studies with data assessing the prognostic role of microRNA-21 expression in brain tumors. Pooled hazard ratios (HRs) of microRNA-21 expression for overall survival and 95% confidence intervals (CI) were calculated. Six studies from five publications were finally included into the meta-analysis. Those six studies included a total of 747 patients with brain tumors and 654 patients with gliomas. For overall survival, the pooled HR of higher microRNA-21 expression in patients with brain tumors was 1.82 (95% CI 1.29-2.58, P = 0.001). In patients with gliomas, the HR for overall survival of higher microRNA-21 expression was 1.83 (95% CI 1.09-3.09, P = 0.023). Sensitivity analysis by omitting one study by turns also showed there was no obvious influence of individual study on the pooled HRs. There was no obvious risk of publication bias in the meta-analysis. The present meta-analysis suggests that microRNA-21 is associated with the prognosis of patients with brain tumors, and high expression of microRNA-21 can predict poor prognosis in patients with brain tumors.

Entities:  

Keywords:  Brain tumors; Glioma; Survival; microRNA-21

Mesh:

Substances:

Year:  2015        PMID: 25790954     DOI: 10.1007/s12035-015-9140-3

Source DB:  PubMed          Journal:  Mol Neurobiol        ISSN: 0893-7648            Impact factor:   5.590


  32 in total

Review 1.  Regulation of microRNA biogenesis.

Authors:  Minju Ha; V Narry Kim
Journal:  Nat Rev Mol Cell Biol       Date:  2014-07-16       Impact factor: 94.444

2.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

Review 3.  MicroRNAs in the p53 network: micromanagement of tumour suppression.

Authors:  Heiko Hermeking
Journal:  Nat Rev Cancer       Date:  2012-08-17       Impact factor: 60.716

Review 4.  Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

Authors:  D F Stroup; J A Berlin; S C Morton; I Olkin; G D Williamson; D Rennie; D Moher; B J Becker; T A Sipe; S B Thacker
Journal:  JAMA       Date:  2000-04-19       Impact factor: 56.272

5.  MiRNA-196 is upregulated in glioblastoma but not in anaplastic astrocytoma and has prognostic significance.

Authors:  Yanlei Guan; Masahiro Mizoguchi; Koji Yoshimoto; Nobuhiro Hata; Tadahisa Shono; Satoshi O Suzuki; Yukie Araki; Daisuke Kuga; Akira Nakamizo; Toshiyuki Amano; Xinlong Ma; Kenshi Hayashi; Tomio Sasaki
Journal:  Clin Cancer Res       Date:  2010-07-02       Impact factor: 12.531

6.  MicroRNA-21 promotes glioblastoma tumorigenesis by down-regulating insulin-like growth factor-binding protein-3 (IGFBP3).

Authors:  Chuan He Yang; Junming Yue; Susan R Pfeffer; Meiyun Fan; Elena Paulus; Amira Hosni-Ahmed; Michelle Sims; Sohail Qayyum; Andrew M Davidoff; Charles R Handorf; Lawrence M Pfeffer
Journal:  J Biol Chem       Date:  2014-07-24       Impact factor: 5.157

7.  MiR-21 expression in the tumor cell compartment holds unfavorable prognostic value in gliomas.

Authors:  Simon Kjær Hermansen; Rikke Hedegaard Dahlrot; Boye Schnack Nielsen; Steinbjørn Hansen; Bjarne Winther Kristensen
Journal:  J Neurooncol       Date:  2012-10-28       Impact factor: 4.130

8.  Prognostic role of circulating microRNA-21 in cancers: evidence from a meta-analysis.

Authors:  Yinlong Yang; Jinxian Qian; Yizuo Chen; Yifei Pan
Journal:  Tumour Biol       Date:  2014-03-25

9.  MicroRNA-21 expression is associated with overall survival in patients with glioma.

Authors:  Lin Wu; Gang Li; Dayun Feng; Huaizhou Qin; Li Gong; Jian Zhang; Zhiguo Zhang
Journal:  Diagn Pathol       Date:  2013-12-10       Impact factor: 2.644

10.  Identification of a core miRNA-pathway regulatory network in glioma by therapeutically targeting miR-181d, miR-21, miR-23b, β-Catenin, CBP, and STAT3.

Authors:  Ronghong Li; Xiang Li; Shangwei Ning; Jingrun Ye; Lei Han; Chunsheng Kang; Xia Li
Journal:  PLoS One       Date:  2014-07-09       Impact factor: 3.240

View more
  7 in total

1.  Role of microRNA-21 in uveal melanoma cell invasion and metastasis by regulating p53 and its downstream protein.

Authors:  Ying-Chih Wang; Xuan Yang; Wen-Bin Wei; Xiao-Lin Xu
Journal:  Int J Ophthalmol       Date:  2018-08-18       Impact factor: 1.779

2.  As Evidence-Based Tumorigenic Role of Epstein-Barr Virus miR-BART1-3p in Neurological Tumors.

Authors:  Mohammad Karimzadeh; Alireza Tabibzadeh; Mohsen Moghoofei; Saeedeh Abbasi; Javid Sadri Nahand; Farzin Sadeghii; Mohammad Hadi Karbalaie Niya; Hossin Keyvani; Farah Bokharaei-Salim; Moein Esghaei; Maryam Esghaei
Journal:  Asian Pac J Cancer Prev       Date:  2021-01-01

Review 3.  Considering Exosomal miR-21 as a Biomarker for Cancer.

Authors:  Jian Shi
Journal:  J Clin Med       Date:  2016-03-29       Impact factor: 4.241

4.  Differential expression of miR16 in glioblastoma and glioblastoma stem cells: their correlation with proliferation, differentiation, metastasis and prognosis.

Authors:  R Tian; J Wang; H Yan; J Wu; Q Xu; X Zhan; Z Gui; M Ding; J He
Journal:  Oncogene       Date:  2017-06-19       Impact factor: 9.867

5.  Prognostic Significance of MicroRNAs in Glioma: A Systematic Review and Meta-Analysis.

Authors:  Yanming Zhang; Jigang Chen; Qiang Xue; Junyu Wang; Liang Zhao; Kaiwei Han; Danfeng Zhang; Lijun Hou
Journal:  Biomed Res Int       Date:  2019-03-26       Impact factor: 3.411

6.  Application of Bidirectional Generative Adversarial Networks to Predict Potential miRNAs Associated With Diseases.

Authors:  Long Xu; Xiaokun Li; Qiang Yang; Long Tan; Qingyuan Liu; Yong Liu
Journal:  Front Genet       Date:  2022-07-12       Impact factor: 4.772

Review 7.  MicroRNAs in the prognosis of triple-negative breast cancer: A systematic review and meta-analysis.

Authors:  Lingshuang Lü; Xuhua Mao; Peiyi Shi; Biyu He; Kun Xu; Simin Zhang; Jianming Wang
Journal:  Medicine (Baltimore)       Date:  2017-06       Impact factor: 1.889

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.