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
. 2015 May 1;8(5):4943-52.
eCollection 2015.

Up-regulation of microRNA-15b correlates with unfavorable prognosis and malignant progression of human glioma

Affiliations

Up-regulation of microRNA-15b correlates with unfavorable prognosis and malignant progression of human glioma

Chao Pang et al. Int J Clin Exp Pathol. .

Abstract

Recent studies have demonstrated that microRNA-15b (miR-15b) regulates cell cycle progression, proliferationnd apoptosis in glioma cells by targeting Cyclins. However, the clinical significance of miR-15b in human glioma remains unclear. Therefore, the aim of this study was to investigate the significance of miR-15b expression in diagnosis, prognosis and malignant progression of glioma. Quantitative real-time reverse transcriptive-PCR (qRT-PCR) was performed to examine miR-15b expression levels in 76 glioma tissues (13 grade II, 13 grade III and 50 grade IV gliomas) and seven glioma cell lines, as well as 10 non-neoplastic brain tissues and human astrocyte as control. MiR-15b showed significant increased expression in high-grade gliomas (P≤0.001) and glioma cells (fold change 2.8-7.6) relative to non-neoplastic brains and astrocyte, respectively. Additionally, high miR-15b expression was significantly associated with advanced WHO grade (P≤0.001), advanced patient age (P≤0.001) and low Karnofsky performance score (KPS, P≤0.001). Furthermore, Kaplan-Meier survival analysis and Cox regression analysis showed that patients with high miR-15b expression had significantly poor overall survival rate (P≤0.001) and miR-15b expression was an independent prognosis-predicting factor for glioma patients (P≤0.001; risk ratio=5.6), respectively. Moreover, miR-15b expression was examined in seven independent patients with primary grade II or III gliomas that spontaneously progressed to grade III or IV gliomas. Statistically significant higher expression (P=0.01) in the recurrent tumor compared with the corresponding primary tumor was observed in all of the seven patients. Our results suggest that miR-15b may be a prognostic predictor and be involved in malignant progression of glioma.

Keywords: glioma; malignant progression; miRNA-15b; microRNA; prognosis; up-regulation.

PubMed Disclaimer

Figures

Figure 1
Figure 1
miR-15b expression in 76 glioma tissues (50 primary GBMs, 13 AAs and 13 DAs), 10 non-neoplastic brain tissues, 7 glioma cell lines (U87, U251, U373, T98G, LN18, LN229 and SF295) and normal human astrocyte detected by quantitative reverse transcriptive real-time polymerase chain reaction (qRT-PCR) analysis. A. Dots indicate log2 of the relative quantification (RQ) values of miR-15b expression levels, normalized by RNU6B. Bars indicate log2 of the average RQ values for each group. The expression level of miR-15b was found to be remarkably increased in glioma tissues compared to non-neoplastic tissues (P ≤ 0.001). Both primary GBMs and AAs showed significantly higher expression of miR-15b than non-neoplastic brains tissues (P ≤ 0.001, respectively). Expression of miR-15b showed a distinctly upward tendency along with the increasing malignancy degree of gliomas. B. Columns indicate RQ values of miR-15b expression levels in human astrocyte and glioma cell lines. Glioma cell lines showed about 3- to 7.5-fold higher expression of miR-15b in comparison with normal human astrocyte.
Figure 2
Figure 2
Kaplan-Meier survival curves for glioma patients with high and low expression levels of miR-15b. A. Among 76 glioma patients (50 primary GBMs, 13 AAs and 13 DAs), those with high miR-15b expression (left, dotted line, n = 33) had significantly shorter survival periods than did patients with low miR-15b expression (right, solid line, n = 43; P ≤ 0.001). B. Among 63 high-grade glioma patients (50 primary GBMs and 13 AAs), those with high miR-15b expression (left, dotted line, n = 33) had significantly shorter survival periods than did patients with low miR-15b expression (right, solid line, n = 30; P ≤ 0.001).
Figure 3
Figure 3
Expression levels of miR-15b in seven patients with primary lower-grade glioma that recurred as higher-grade glioma. MiR-15b showed an about 1.3- to 41.6-fold higher expression in the recurrent glioma as compared to the corresponding primary tumor. Patient numbers 1-7 encode the individual patient; Gray and black columns indicate expression levels of miR-15b in primary and recurrent tumors, respectively. P, primary tumor; R, recurrent tumor.
Figure 4
Figure 4
Validation experiment for miR-15b expression in an independent series of 9 DAs, 8 AAs and 8 secondary-GBMs. miR-15b showed a significant progression-associated up-regulation in gliomas with different pathological-grade (P = 0.015, 0.016 and ≤ 0.001 for grade III vs. II, grade IV vs. III and grade IV vs. II, respectively).

References

    1. Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, Burger PC, Jouvet A, Scheithauer BW, Kleihues P. The 2007 WHO classification of tumors of central nervous system. Acta Neuropathol. 2007;114:97–109. - PMC - PubMed
    1. Ohgaki H, Kleihues P. Epidemiology and etiology of gliomas. Acta Neuropathol. 2005;109:93–108. - PubMed
    1. Verhaak RG, Hoadley KA, Purdom E, Wang V, Qi Y, Wilkerson MD, Miller CR, Ding L, Golub T, Mesirov JP, Alexe G, Lawrence M, O’Kelly M, Tamayo P, Weir BA, Gabriel S, Winckler W, Gupta S, Jakkula L, Feiler HS, Hodgson JG, James CD, Sarkaria JN, Brennan C, Kahn A, Spellman PT, Wilson RK, Speed TP, Gray JW, Meyerson M, Getz G, Perou CM, Hayers DN Cancer Genome Atlas Research Network. Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR and NF1. Cancer Cell. 2010;17:98–110. - PMC - PubMed
    1. Houshmehr H, Weisenberger DJ, Diefes K, Phillips HS, Pujara K, Berman BP, Pan F, Pelloski CE, Sulman EP, Bhat KP, Verhaak RG, Hoadley KA, Hayes DN, Perou CM, Schmidt HK, Ding L, Wilson RK, Van Den Berg D, Shen H, Bengtsson H, Neuvial P, Cope LM, Buckley J, Herman JG, Baylin SB, Laird PW, Aldape K Cancer Genome Atlas Research Network. Identification of a CpG island methlator phenotype that defines a distinct subgroup of glioma. Cancer Cell. 2010;17:510–22. - PMC - PubMed
    1. Inui M, Martello G, Piccolo S. MicroRNA control of signal transduction. Nat Rev Mol Cell Biol. 2010;11:252–63. - PubMed

Publication types

MeSH terms

LinkOut - more resources