Literature DB >> 25139099

Prognostic role of microRNA-31 in various cancers: a meta-analysis.

Shuwei Wang1, Jun Hu, Dongsheng Zhang, Juan Li, Qiang Fei, Yueming Sun.   

Abstract

To date, many studies have shown that microRNAs (miRNA) exhibit altered expression levels in various cancers and may play a potential role as diagnostic and prognostic biomarkers of cancers. This meta-analysis was designed to evaluate the exact role of microRNA-31 (miR-31) for survival and discuss the possibility of utilizing miR-31 to predict the prognosis of patients with various human cancers. Electronic literature databases including PubMed, Web of Science, and Embase were searched for articles published until May 2014. The articles only written in English were considered. Data were extracted from studies comparing overall survival (OS), cancer-specific survival (CSS), or postoperative survival (PS) in patients with multiple cancers, which showed higher miR-31 expression than with similar patients. Pooled hazard ratios (HRs) of miR-31 for survival and 95 % confidence intervals (CI) were calculated. Ten studies with a total of 1,648 participants were included for the meta-analysis. For OS, the pooled HRs of higher miR-31 expression in cancers indicated significant predictor poorer survival in general cancers in either univariate analysis (HR=2.34, 95 % CI=1.15-3.52, P<0.05) or multivariate analysis (HR=1.15, 95 % CI=1.04-1.26, P<0.05). For CSS, elevated miR-31 was also a significant predictor to general cancers in multivariate analysis (HR=1.77, 95 % CI=1.06-2.47, P<0.05). And, no association was found between miR-31 expression and PS. In conclusion, the present findings indicate that high miR-31 expression is associated with poor OS and CSS in patients with general cancers and miR-31 may be a useful clinical prognostic biomarker.

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Year:  2014        PMID: 25139099     DOI: 10.1007/s13277-014-2492-x

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  33 in total

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Journal:  Clin Cancer Res       Date:  2011-09-02       Impact factor: 12.531

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Journal:  Carcinogenesis       Date:  2013-11-15       Impact factor: 4.944

9.  The breast cancer oncogene EMSY represses transcription of antimetastatic microRNA miR-31.

Authors:  Emmanuelle Viré; Christina Curtis; Veronica Davalos; Anna Git; Samuel Robson; Alberto Villanueva; August Vidal; Isaia Barbieri; Samuel Aparicio; Manel Esteller; Carlos Caldas; Tony Kouzarides
Journal:  Mol Cell       Date:  2014-02-27       Impact factor: 17.970

Review 10.  Candidate microRNA biomarkers of pancreatic ductal adenocarcinoma: meta-analysis, experimental validation and clinical significance.

Authors:  Ming-Zhe Ma; Xiang Kong; Ming-Zhe Weng; Kun Cheng; Wei Gong; Zhi-Wei Quan; Cheng-Hong Peng
Journal:  J Exp Clin Cancer Res       Date:  2013-09-28
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Journal:  Mol Biol Rep       Date:  2014-09-05       Impact factor: 2.316

2.  Development of a 4-miRNA prognostic signature for endometrial cancer.

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3.  Integrated Interaction Network of MicroRNA Target Genes in Keloid Scarring.

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5.  Integrating DNA methylation and microRNA biomarkers in sputum for lung cancer detection.

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Journal:  Clin Epigenetics       Date:  2016-10-19       Impact factor: 6.551

6.  MicroRNA profiling associated with non-small cell lung cancer: next generation sequencing detection, experimental validation, and prognostic value.

Authors:  Sandra Gallach; Eloisa Jantus-Lewintre; Silvia Calabuig-Fariñas; David Montaner; Sergio Alonso; Rafael Sirera; Ana Blasco; Marta Usó; Ricardo Guijarro; Miguel Martorell; Carlos Camps
Journal:  Oncotarget       Date:  2017-06-22

7.  Circulating miR-31 as an effective biomarker for detection and prognosis of human cancer: a meta-analysis.

Authors:  Yingjun Ma; Yunfang Chen; Jinbo Lin; Yi Liu; Kai Luo; Yong Cao; Tieqiang Wang; Hongwei Jin; Zhan Su; Haolin Wu; Xiaoliang Chen; Jinquan Cheng
Journal:  Oncotarget       Date:  2017-04-25

8.  miR-31 affects colorectal cancer cells by inhibiting autophagy in cancer-associated fibroblasts.

Authors:  Xiaodong Yang; Xiaohui Xu; Junjia Zhu; Shuyu Zhang; Yong Wu; Yongyou Wu; Kui Zhao; Chungen Xing; Jianping Cao; Hong Zhu; Ming Li; Zhenyu Ye; Wei Peng
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9.  The transcriptome of lung tumor-infiltrating dendritic cells reveals a tumor-supporting phenotype and a microRNA signature with negative impact on clinical outcome.

Authors:  Lotte Pyfferoen; Elisabeth Brabants; Celine Everaert; Nancy De Cabooter; Kelly Heyns; Kim Deswarte; Manon Vanheerswynghels; Sofie De Prijck; Glenn Waegemans; Melissa Dullaers; Hamida Hammad; Olivier De Wever; Pieter Mestdagh; Jo Vandesompele; Bart N Lambrecht; Karim Y Vermaelen
Journal:  Oncoimmunology       Date:  2016-11-08       Impact factor: 8.110

10.  MicroRNA expression profiles predict progression and clinical outcome in lung adenocarcinoma.

Authors:  Kang Lin; Tao Xu; Bang-Shun He; Yu-Qin Pan; Hui-Ling Sun; Hong-Xin Peng; Xiu-Xiu Hu; Shu-Kui Wang
Journal:  Onco Targets Ther       Date:  2016-09-15       Impact factor: 4.147

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