Increased expression of microRNA-17 predicts poor prognosis in human glioma.
Increased expression of microRNA-17 predicts poor prognosis in human glioma.
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DOI:
10.1155/2012/970761
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发表时间:
2012
影响因子:
--
通讯作者:
Jiao B
中科院分区:
文献类型:
--
作者:
Lu S;Wang S;Geng S;Ma S;Liang Z;Jiao B
Aim. To investigate the clinical significance of microRNA-17 (miR-17) expression in human gliomas. Methods. Quantitative real-time polymerase chain reaction (qRT-PCR) analysis was used to characterize the expression patterns of miR-17 in 108 glioma and 20 normal brain tissues. The associations of miR-17 expression with clinicopathological factors and prognosis of glioma patients were also statistically analyzed. Results. Compared with normal brain tissues, miR-17 expression was significantly higher in glioma tissues (P < 0.001). In addition, the increased expression of miR-17 in glioma was significantly associated with advanced pathological grade (P = 0.006) and low Karnofsky performance score (KPS, P = 0.01). Moreover, Kaplan-Meier survival and Cox regression analyses showed that miR-17 overexpression (P = 0.008) and advanced pathological grade (P = 0.02) were independent factors predicting poor prognosis for gliomas. Furthermore, subgroup analyses showed that miR-17 expression was significantly associated with poor overall survival in glioma patients with high pathological grades (for grade III~IV: P < 0.001). Conclusions. Our data offer the convinced evidence that the increased expression of miR-17 may have potential value for predicting poor prognosis in glioma patients with high pathological grades, indicating that miR-17 may contribute to glioma progression and be a candidate therapeutic target for this disease.
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影响因子:
11.2
作者:
Katakowski M;Buller B;Wang X;Rogers T;Chopp M
通讯作者:
Chopp M
影响因子:
1.7
作者:
Treguer, Karine;Heinrich, Eva-Marie;Dimmeler, Stefanie
通讯作者:
Dimmeler, Stefanie
DOI:
10.1073/pnas.0809579106
发表时间:
2009-02-24
影响因子:
11.1
作者:
Uziel, Tamar;Karginov, Fedor V.;Roussel, Martine F.
通讯作者:
Roussel, Martine F.
影响因子:
8
作者:
Ernst, A.;Campos, B.;Radlwimmer, B.
通讯作者:
Radlwimmer, B.
影响因子:
11.2
作者:
Godlewski, Jakub;Nowicki, Michal O.;Lawler, Sean
通讯作者:
Lawler, Sean