A five-miRNA signature with prognostic and predictive value for MGMT promoter-methylated glioblastoma patients

被引:50
作者
Cheng, Wen [1 ]
Ren, Xiufang [2 ]
Cai, Jinquan [3 ]
Zhang, Chuanbao [4 ,5 ]
Li, Mingyang [4 ,5 ]
Wang, Kuanyu [6 ]
Liu, Yang [1 ]
Han, Sheng [1 ]
Wu, Anhua [1 ]
机构
[1] China Med Univ, Hosp 1, Dept Neurosurg, Shenyang 110001, Peoples R China
[2] China Med Univ, Shengjing Hosp, Dept Pathol, Shenyang 110001, Peoples R China
[3] Harbin Med Univ, Affiliated 2, Dept Neurosurg, Harbin, Peoples R China
[4] Beijing Neurosurg Inst, Beijing, Peoples R China
[5] Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, Beijing, Peoples R China
[6] Dalian Med Univ, Affiliated Hosp 1, Dept Neurosurg, Dalian, Peoples R China
基金
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词
glioblastoma; MGMT promoter methylation; miRNA; prognosis; predictive model; MICRORNA EXPRESSION SIGNATURE; RADIOTHERAPY PLUS CONCOMITANT; RANDOMIZED PHASE-III; ADJUVANT TEMOZOLOMIDE; GLIOMA; MULTIFORME; SURVIVAL; INVASIVENESS; THERAPY; ENHANCE;
D O I
10.18632/oncotarget.4978
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:29285 / 29295
页数:11
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