Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Observational Study
. 2020 Jul 31;40(7):BSR20201449.
doi: 10.1042/BSR20201449.

Plasma microRNA-720 may predict prognosis and diagnosis in glioma patients

Peng Chen  1 , Guangying Zhang  2 , Qin Zhou  2 , Zhanzhan Li  2
Affiliations
Observational Study

Plasma microRNA-720 may predict prognosis and diagnosis in glioma patients

Peng Chen et al. Biosci Rep. .

Abstract

We enrolled 122 patients with glioma who received surgery treatment in our hospital from June 2010 to May 2012, and 60 healthy individuals. We found that the plasma miR-720 in the glioma group was significantly higher than that in the healthy control group (3.19 ± 1.26 vs 0.98 ± 0.65, P<0.001). The sensitivity and specificity were 71.3% (95%CI: 62.4-79.1%) and 83.3% (71.5-91.7%), respectively. The results indicated that the plasma miR-720 level was associated with tumor grade (t = 104.418, P<0.001). The advanced tumor tended to have higher miR-720 expression level. No significant association was found between miR-720 and age, sex, tumor size, KPS and tumor position (P=0.438, 0.514, 0.518, 0.058, 0.226). The multivariate cox analysis indicated that the high expression of miR-720 (HR = 1.48, 95%CI: 1.12-2.97, P=0.023) was independently predictors of adverse prognosis in patients with glioma. The high expression of miR-720 was also associated with recurrence or development in patients with glioma (HR = 1.47, 95%CI: 1.18-3.14, P=0.012). Plasma miR-720 has a moderate diagnostic ability in early diagnostic of glioma and may be a potential tumor biomarker. The high plasma miR-720 was related to adverse prognosis in patients with glioma and could be a prognosis predictor of glioma patients.

Keywords: Diagnosis; Glioma; Micro RNA; Prognosis.

PubMed Disclaimer

Conflict of interest statement

The authors declare that there are no competing interests associated with the manuscript.

Figures

Figure 1
Figure 1. The receiver operating characteristic curve of miR-720 for glioma (AUC = 0.773, sensitivity: 71.3%, specificity: 83.3%, positive predictive value: 89.7%, negative predictive value: 58.8%, cut-off: 3.19)
Figure 2
Figure 2. Comparison of overall survival rate between high expression and low expression of miR-720 (mean > 3.19 vs mean ≤ 3.19)
Figure 3
Figure 3. Comparison of disease-free survival rate between high expression and low expression of miR-720 (mean > 3.19 vs mean ≤ 3.19)
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Li Z., Zhou Q., Li Y., Yan S., Fu J., Huang X. et al. . (2017) Mean cerebral blood volume is an effective diagnostic index of recurrent and radiation injury in glioma patients: A meta-analysis of diagnostic test. Oncotarget 8, 15642–15650, 10.18632/oncotarget.14922 - DOI - PMC - PubMed
    1. Miller J.J. and Wen P.Y. (2016) Emerging targeted therapies for glioma. Expert Opin. Emerg. Drugs 21, 441–452 10.1080/14728214.2016.1257609 - DOI - PubMed
    1. Small E.M. and Olson E.N. (2011) Pervasive roles of microRNAs in cardiovascular biology. Nature 469, 336–342 10.1038/nature09783 - DOI - PMC - PubMed
    1. Jun F., Hong J., Liu Q., Guo Y., Liao Y., Huang J. et al. . (2017) Epithelial membrane protein 3 regulates TGF-beta signaling activation in CD44-high glioblastoma. Oncotarget 8, 14343–14358 10.18632/oncotarget.11102 - DOI - PMC - PubMed
    1. Kalkan R. and Atli E.I. (2016) The Impacts of miRNAs in Glioblastoma Progression. Crit. Rev. Eukaryot. Gene Expr. 26, 137–142 10.1615/CritRevEukaryotGeneExpr.2016015964 - DOI - PubMed

Publication types

MeSH terms