Identification of differentially expressed microRNAs and the potential of microRNA‑455‑3p as a novel prognostic biomarker in glioma

Wang,Wei; Mu,Shuwen; Zhao,Qingshuang; Xue,Liang; Wang,Shousen

doi:10.3892/ol.2019.10927

Identification of differentially expressed microRNAs and the potential of microRNA‑455‑3p as a novel prognostic biomarker in glioma

Authors:
- Wei Wang
- Shuwen Mu
- Qingshuang Zhao
- Liang Xue
- Shousen Wang
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Affiliations: Department of Neurosurgery, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, Fujian 350025, P.R. China, Department of Neurosurgery, Dongfang Affiliated Hospital of Xiamen University, Fuzhou, Fujian 350025, P.R. China, Department of Neurosurgery, 900 Hospital of The Joint Logistics Team, Fuzhou, Fujian 350025, P.R. China
Published online on: September 27, 2019 https://doi.org/10.3892/ol.2019.10927
Pages: 6150-6156
Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Glioma is an aggressive central nervous system malignancy. MicroRNAs (miRNAs/miRs) have been reported to be involved in the tumorigenesis of numerous types of cancer, including glioma. The present study aimed to identify the differentially expressed miRNAs in glioma, and further explore the clinical value of miR‑455‑3p in patients with glioma. GEO2R was used for the identification of the differentially expressed miRNAs according to the miRNA expression profiles obtained from the Gene Expression Omnibus database. OncomiR was used to analyze the relationship of miRNAs with the survival outcomes of the patients with glioma. A total of 108 patients with glioma were recruited to examine the expression levels of miR‑455‑3p and further explore its clinical value. The bioinformatics analysis results suggested that a total of 64 and 48 differentially expressed miRNAs were identified in the GSE90603 and GSE103229 datasets, respectively. There were 12 miRNAs in the overlap of the two datasets, of which three were able to accurately predict overall cancer survival, namely hsa‑miR‑7‑5p, hsa‑miR‑21‑3p and hsa‑miR‑455‑3p. In patients with glioma, miR‑455‑3p was determined to be significantly upregulated (P<0.001). Additionally, patients with high miR‑455‑3p expression had significantly lower 5‑year overall survival than those with low miR‑455‑3p expression (log‑rank test, P=0.001). Cox regression analysis further determined that miR‑455‑3p was an independent prognostic indicator for overall survival in patients with glioma (hazard ratio=2.136; 95% CI=1.177‑3.877; P=0.013). In conclusion, the present study revealed a series of miRNAs with potential functional roles in the pathogenesis of glioma, and provides findings that indicate miR‑455‑3p as a promising biomarker for the prognosis of glioma.

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