| Literature DB >> 25636684 |
Rui Zhang1, Bo Pang2, Tao Xin1, Hua Guo1, Yi Xing1, Shangchen Xu1, Bin Feng1, Bin Liu1, Qi Pang3.
Abstract
Glioma, the most common type of primary central nervous system cancers, was progressive with poor survival. MicroRNA, as a novel biomarker, was suspected to be novel biomarkers for glioma diagnosis and prognosis. The study aimed at investigating the diagnostic and predictive value of miR-221/222 family for glioma. In the first phase, we compared plasma miR-221/222 family levels between 50 glioma patients and 51 healthy controls by real-time qRT-PCR amplification. Meanwhile, a meta-analysis based on published studies and presents study was performed to explore the diagnostic performance of miR-221/222 family in human cancers. In the second phase, we correlated the miR-221/222 family expression level with prognosis of glioma using Kaplan-Meier survival curves. The plasma miR-221/222 family levels were found to be significantly upregulated in glioma patients (P = 0.001). The ROC curve analysis yielded an AUC values of 0.84 (95% confidence interval (CI): 0.74-0.93) for miR-221 and 0.92 (95% CI 0.87-0.94) for miR-222. In the meta-analysis, the summary receiver operating characteristic (sROC) was plotted with an AUC of 0.82 (95% CI 0.78-0.85) for miR-221/222 family. It was also demonstrated that high positive plasma miR-221 and miR-222 were both correlated with poor survival rate (miR-221: HR = 2.13; 95% CI, 1.05-4.31; miR-222: HR = 2.09; 95% CI, 1.00-4.37). This study demonstrated that the detection of the miRNA-221/222 family should be considered as a new additional tool to better characterize glioma.Entities:
Keywords: Glioma; Meta-analysis; Plasma; Prognosis; Screening; microRNA-221; microRNA-222
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Year: 2015 PMID: 25636684 DOI: 10.1007/s12035-014-9079-9
Source DB: PubMed Journal: Mol Neurobiol ISSN: 0893-7648 Impact factor: 5.590