Literature DB >> 23103713

Correlation of microRNA-375 downregulation with unfavorable clinical outcome of patients with glioma.

Chongwang Chang1, Hangyu Shi, Chao Wang, Jing Wang, Ning Geng, Xue Jiang, Xuelian Wang.   

Abstract

BACKGROUND AND AIM: MicroRNA-375 (miR-375) is frequently demonstrated to be frequently dysregulated and functions as a tumor suppressor or an oncogene in different cancer types. However, its roles in human gliomas have not been reported. The aim of this study was to investigate the expression pattern and clinical significance of miR-375 in patients with gliomas.
METHODS: Real-time quantitative RT-PCR assay was performed to detect miR-375 expression in human gliomas and non-neoplastic brain tissues. Then, the association of miR-375 expression with clinicopathological factors and prognosis of glioma patients was also statistically analyzed.
RESULTS: miR-375 expression was significantly decreased on average in glioma tissues relative to non-neoplastic brain tissues (P<0.0001) with ascending pathological grade. Then, the low miR-375 expression in glioma tissues was significantly associated with advanced pathological grade (P=0.003) and low Karnofsky performance score (KPS, P=0.01). Moreover, both univariate and multivariate Cox regression analyses determined that loss of miR-375 expression effectively predicted the decreased overall survival in patients with gliomas.
CONCLUSIONS: These findings offer the first convinced evidence that the downregulation of miR-375 expression in human gliomas may play an inhibitory role during the tumor development. This miRNA might function as a candidate unfavorable prognostic marker for human gliomas.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 23103713     DOI: 10.1016/j.neulet.2012.10.021

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  28 in total

1.  Identification of conserved and novel microRNAs in cerebral ischemia-reperfusion injury of rat using deep sequencing.

Authors:  Chunmei Wang; Yanyou Pan; Baohua Cheng; Jing Chen; Bo Bai
Journal:  J Mol Neurosci       Date:  2014-07-26       Impact factor: 3.444

2.  The microRNA-375 as a potentially promising biomarker to predict the prognosis of patients with head and neck or esophageal squamous cell carcinoma: a meta-analysis.

Authors:  Peng Wang; LiangLiang Xu; Lian Li; ShengSheng Ren; JianWei Tang; Ming Zhang; MingQing Xu
Journal:  Eur Arch Otorhinolaryngol       Date:  2019-02-12       Impact factor: 2.503

3.  Circulating miR-375 and miR-199a-3p as potential biomarkers for the diagnosis of hepatocellular carcinoma.

Authors:  Jian Yin; Peng Hou; Zhiqiang Wu; Tao Wang; Yanxiao Nie
Journal:  Tumour Biol       Date:  2015-01-25

4.  MicroRNA-375 Suppresses Extracellular Matrix Degradation and Invadopodial Activity in Head and Neck Squamous Cell Carcinoma.

Authors:  Lizandra Jimenez; Ved P Sharma; John Condeelis; Thomas Harris; Thomas J Ow; Michael B Prystowsky; Geoffrey Childs; Jeffrey E Segall
Journal:  Arch Pathol Lab Med       Date:  2015-07-14       Impact factor: 5.534

5.  MicroRNA-375 functions as a tumor suppressor in osteosarcoma by targeting PIK3CA.

Authors:  Zhi-cai Shi; Xue-rong Chu; Yun-gang Wu; Jin-hui Wu; Chun-wen Lu; Run-xiao Lü; Mu-chen Ding; Ning-fang Mao
Journal:  Tumour Biol       Date:  2015-06-03

Review 6.  MicroRNA as potential biomarkers in Glioblastoma.

Authors:  Zammam Areeb; Stanley S Stylli; Rachel Koldej; David S Ritchie; Tali Siegal; Andrew P Morokoff; Andrew H Kaye; Rodney B Luwor
Journal:  J Neurooncol       Date:  2015-09-21       Impact factor: 4.130

Review 7.  Drug resistance mediated by AEG-1/MTDH/LYRIC.

Authors:  Xiangbing Meng; Kristina W Thiel; Kimberly K Leslie
Journal:  Adv Cancer Res       Date:  2013       Impact factor: 6.242

8.  Upregulation of microRNA-375 is associated with poor prognosis in pediatric acute myeloid leukemia.

Authors:  Zhengyan Wang; Ze Hong; Feng Gao; Weijing Feng
Journal:  Mol Cell Biochem       Date:  2013-07-18       Impact factor: 3.396

9.  MicroRNA-650 expression in glioma is associated with prognosis of patients.

Authors:  Boqian Sun; Bo Pu; Dake Chu; Xiaodan Chu; Wei Li; Dun Wei
Journal:  J Neurooncol       Date:  2013-09-24       Impact factor: 4.130

Review 10.  Developing epigenetic diagnostics and therapeutics for brain disorders.

Authors:  Irfan A Qureshi; Mark F Mehler
Journal:  Trends Mol Med       Date:  2013-10-18       Impact factor: 11.951

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