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
Jiao B
中科院分区:
其他
文献类型:
--
作者:
Lu S;Wang S;Geng S;Ma S;Liang Z;Jiao B

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瞄准探讨microRNA-17(miR-17)在人脑胶质瘤中的表达及其临床意义。方法.采用实时定量聚合酶链反应(qRT-PCR)分析108例胶质瘤和20例正常脑组织中miR-17的表达模式。统计分析miR-17表达与胶质瘤患者临床病理因素及预后的关系。结果与正常脑组织相比,胶质瘤组织中miR-17的表达明显增高(P < 0.001)。此外,miR-17在胶质瘤中的高表达与病理分级(P = 0.006)和Karnofsky评分(KPS,P = 0.01)相关。Kaplan-Meier生存分析和考克斯回归分析显示,miR-17过表达(P = 0.008)和病理分级(P = 0.02)是胶质瘤预后不良的独立预测因素。此外,亚组分析显示,miR-17表达与高病理分级胶质瘤患者的总生存率显著相关(对于III~IV级:P < 0.001)。结论.我们的数据提供了令人信服的证据表明,miR-17的表达增加可能对预测高病理分级胶质瘤患者的不良预后具有潜在价值,表明miR-17可能有助于胶质瘤的进展,并可能成为该疾病的候选治疗靶点。
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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