Cheng Wen, Ren Xiufang, Cai Jinquan, Zhang Chuanbao, Li Mingyang, Wang Kuanyu, Liu Yang, Han Sheng, Wu Anhua
Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China.
Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, China.
Oncotarget. 2015 Oct 6;6(30):29285-95. doi: 10.18632/oncotarget.4978.
Although O(6)-methylguanine DNA methyltransferase (MGMT) promoter methylation status is an important marker for glioblastoma multiforme (GBM), there is considerable variability in the clinical outcome of patients with similar methylation profiles. The present study aimed to refine the prognostic and predictive value of MGMT promoter status in GBM by identifying a micro (mi)RNA risk signature. Data from The Cancer Genome Atlas was used for this study, with MGMT promoter-methylated samples randomly divided into training and internal validation sets. Data from The Chinese Glioma Genome Atlas was used for independent validation. A five miRNA-based risk signature was established for MGMT promoter-methylated GBM to distinguish cases as high- or low-risk with distinct prognoses, which was confirmed using internal and external validation sets. Importantly, the prognostic value of the signature was significant in different cohorts stratified by clinicopathologic factors and alkylating chemotherapy, and a multivariate Cox analysis found it to be an independent prognostic marker along with age and chemotherapy. Based on these three factors, we developed a quantitative model with greater accuracy for predicting the 1-year survival of patients with MGMT promoter-methylated GBM. These results indicate that the five-miRNA signature is an independent risk predictor for GBM with MGMT promoter methylation and can be used to identify patients at high risk of unfavorable outcome and resistant to alkylating chemotherapy, underscoring its potential for personalized GBM management.
尽管O(6)-甲基鸟嘌呤DNA甲基转移酶(MGMT)启动子甲基化状态是多形性胶质母细胞瘤(GBM)的重要标志物,但具有相似甲基化谱的患者临床结局存在相当大的差异。本研究旨在通过识别一种微小(mi)RNA风险特征来优化MGMT启动子状态在GBM中的预后和预测价值。本研究使用了来自癌症基因组图谱(The Cancer Genome Atlas)的数据,将MGMT启动子甲基化样本随机分为训练集和内部验证集。来自中国胶质瘤基因组图谱(The Chinese Glioma Genome Atlas)的数据用于独立验证。为MGMT启动子甲基化的GBM建立了基于5种miRNA的风险特征,以区分预后不同的高风险或低风险病例,并使用内部和外部验证集进行了确认。重要的是,该特征在按临床病理因素和烷化化疗分层的不同队列中的预后价值显著,多变量Cox分析发现它与年龄和化疗一样是独立的预后标志物。基于这三个因素,我们开发了一个准确性更高的定量模型,用于预测MGMT启动子甲基化GBM患者的1年生存率。这些结果表明,5-miRNA特征是MGMT启动子甲基化GBM的独立风险预测指标,可用于识别预后不良和对烷化化疗耐药的高风险患者,突显了其在GBM个性化管理中的潜力。