Literature DB >> 27173192

Prognostic significance of microRNA-10b overexpression in breast cancer: a meta-analysis.

N Wang1, P Chen1, L P Huang1, T Z Wang2.   

Abstract

Many microRNAs (miRNAs) exhibit altered expression levels in cancers, and they may be considered as valuable prognostic biomarkers for cancers. Here we aimed to summarize the recent advances in miR-10b involvement in human breast cancer and analyze the predicting role of miR-10b for survival. We searched, Embase, and Wanfang databases to identify studies on the prognostic role of miR-10b expression in breast cancer. A total of 770 patients from 7 eligible studies were included in the analysis. Pooled risk ratios (RRs) with 95% confidence interval (95%CI) were calculated to estimate the effect. Our results showed that high miR-10b expression in patients with breast cancer was significantly associated with poor disease-free survival (DFS) (RR = 1.53; 95%CI = 1.06-2.21; P = 0.02). However, no significant association between miR-10b and overall survival was found in overall studies. Subgroup analysis indicated that high expression of miR-10b was significantly correlated with DFS in Asia (RR = 2.94; 95%CI = 1.71-5.05). The present meta-analysis demonstrated that high expression of miR-10b might predict poor survival in patients with breast cancer. Larger clinical studies are required to further evaluate the role of miR-10b in clinical practice.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27173192     DOI: 10.4238/gmr.15027350

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  4 in total

1.  Screening of miRNAs associated with lymph node metastasis in Her-2-positive breast cancer and their relationship with prognosis.

Authors:  En-Qi Qiao; Hong-Jian Yang; Xi-Ping Zhang
Journal:  J Zhejiang Univ Sci B       Date:  2020-06       Impact factor: 3.066

2.  Diagnostic value of strand-specific miRNA-101-3p and miRNA-101-5p for hepatocellular carcinoma and a bioinformatic analysis of their possible mechanism of action.

Authors:  Xia Yang; Yu-Yan Pang; Rong-Quan He; Peng Lin; Jie-Mei Cen; Hong Yang; Jie Ma; Gang Chen
Journal:  FEBS Open Bio       Date:  2017-12-20       Impact factor: 2.693

3.  Dysregulated lncRNA-miRNA-mRNA Network Reveals Patient Survival-Associated Modules and RNA Binding Proteins in Invasive Breast Carcinoma.

Authors:  Yu Dong; Yang Xiao; Qihui Shi; Chunjie Jiang
Journal:  Front Genet       Date:  2020-01-15       Impact factor: 4.599

Review 4.  Preclinical Imaging Evaluation of miRNAs' Delivery and Effects in Breast Cancer Mouse Models: A Systematic Review.

Authors:  Francesca Maria Orlandella; Luigi Auletta; Adelaide Greco; Antonella Zannetti; Giuliana Salvatore
Journal:  Cancers (Basel)       Date:  2021-11-30       Impact factor: 6.639

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.