Guan Yanlei, Chen Ling, Bao Yijun, Li Zhipeng, Cui Run, Li Guangyu, Wang Yunjie
Department of Neurosurgery, First Affiliated Hospital of China Medical University Shenyang, Liaoning, P.R. China.
Department of Geriatric Medicine, First Affiliated Hospital of China Medical University Shenyang, Liaoning, P.R. China.
Int J Clin Exp Med. 2015 Jul 15;8(7):10855-64. eCollection 2015.
Glioma is the most common and aggressive brain tumor with poor clinical outcome. Identification and development of new biomarkers could be beneficial for diagnosis and prognosis of glioma patients. Recent studies have showed evidences that dysregulation of microRNAs (miRNAs) is involved in glioma tumorigenesis. Therefore, we attempted to identify specific miRNAs as prognostic and predictive markers for glioma. We statistically compared expression profile of 365 miRNAs between WHO grade IV and grade III gliomas, by qRT-PCR. MiR-105 was identified as a remarkably decreased miRNA in grade IV gliomas compared with grade III gliomas (P=0.012, fold change =0.04). We subsequently examined its expression levels in an independent series of gliomas, and statistically analyzed the associations between miR-105 expression and clinicopathological characteristics and survivals of these glioma patients. MiR-105 showed remarkably decreased expression in gliomas as compared to non-neoplastic brains. And grade IV gliomas had significantly lower miR-105 expression compared with grade III and II gliomas (both P<0.001). Additionally, low miR-105 expression was statistically associated with advanced tumor grade, advanced patient's age and low pre-operative Karnofsky performance score (all P<0.001). Furthermore, patients with low miR-105 expression had significantly poorer survival by Kaplan-Meier method (P<0.001). Multivariate analysis indicated miR-105 as an independent prognostic indicator for glioma patients (P=0.018, risk ratio =4.2). Our results suggested that low expression of miR-105 may correlate with unfavorable clinical outcome and be involved in tumorigenesis and aggressive progression of glioma. And miR-105 may be a novel biomarker in prognostic prediction for glioma.
胶质瘤是最常见且侵袭性最强的脑肿瘤,临床预后较差。识别和开发新的生物标志物可能有助于胶质瘤患者的诊断和预后评估。最近的研究表明,微小RNA(miRNA)失调与胶质瘤的发生发展有关。因此,我们试图确定特定的miRNA作为胶质瘤的预后和预测标志物。我们通过qRT-PCR对365种miRNA在世界卫生组织(WHO)IV级和III级胶质瘤之间的表达谱进行了统计学比较。与III级胶质瘤相比,miR-105在IV级胶质瘤中被确定为显著下调的miRNA(P=0.012,倍数变化=0.04)。随后,我们在另一组独立的胶质瘤中检测了其表达水平,并对miR-105表达与这些胶质瘤患者的临床病理特征及生存率之间的关联进行了统计学分析。与非肿瘤性脑相比,miR-105在胶质瘤中的表达显著降低。IV级胶质瘤的miR-105表达明显低于III级和II级胶质瘤(均P<0.001)。此外,miR-105低表达与肿瘤分级高、患者年龄大及术前卡氏评分低在统计学上相关(均P<0.001)。此外,通过Kaplan-Meier法分析,miR-105低表达的患者生存率明显较差(P<0.001)。多变量分析表明,miR-105是胶质瘤患者的独立预后指标(P=0.018,风险比=4.2)。我们的结果表明,miR-105低表达可能与不良临床预后相关,并参与胶质瘤的发生和侵袭性进展。而且miR-105可能是胶质瘤预后预测中的一种新型生物标志物。