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Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019
Expression level of human miR-34a correlates with glioma grade and prognosis
Haifeng Gao1, Hongyang Zhao, Wei Xiang
1Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Wuhan, 430022, Hubei, People's Republic of China.
Abstract:
The aim of this study is to investigate the expression level of microRNA-34a (miR-34a) in glioma patients and its significance for predicting the prognosis of glioma. In this study, we examined the expression of miR-34a in glioma tissues of various World Health Organization (WHO) grades and explored the association between miR-34a expression and clinical and pathological parameters of glioma patients. We found that the tissues from high-grade gliomas (grade III and IV) had much lower miR-34a expression compared to normal brain tissues. The results of a 72-month follow-up in 146 glioma patients further demonstrated that miR-34a expression levels positively correlated with tumor WHO grades. Additionally, in the patients with grade III and IV gliomas, lower miR-34a expression correlated with worse progression-free survival and overall survival. Univariate and multivariate analysis revealed that miR-34a was an independent prognostic indicator for glioma. Additionally, we explored the correlation between miR-34a expression and p53 status and Bcl-2 expression in grade III and IV glioma tissues. Wild-type p53 tumors displayed significantly higher miR-34a expression level than mutant p53 tumors. In addition, glioma tissues with high miR-34a expression had dramatically lower Bcl-2 expression levels than tissues with low miR-34a expression. These findings indicate the role of miR-34a in tumor progression may be closely associated with p53 mutation and inversely correlated to Bcl-2 expression. In conclusion, our work presents comprehensive evidence for miR-34a expression as a novel and potentially useful signature for predicting prognosis of glioma.
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