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一种用于预测MGMT启动子甲基化胶质母细胞瘤患者预后的三基因特征。

A three-gene signature for prognosis in patients with MGMT promoter-methylated glioblastoma.

作者信息

Wang Wen, Zhang Lu, Wang Zheng, Yang Fan, Wang Haoyuan, Liang Tingyu, Wu Fan, Lan Qing, Wang Jiangfei, Zhao Jizong

机构信息

Department of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, China.

Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

出版信息

Oncotarget. 2016 Oct 25;7(43):69991-69999. doi: 10.18632/oncotarget.11726.

Abstract

Glioblastoma is the most malignant tumor and has high mortality rate. The methylated prompter of MGMT results in chemotherapy sensitivity for these patients. However, there are still other factors that affected the prognosis for the glioblastoma patients with similar MGMT methylation status. We developed a signature with three genes screened from the whole genome mRNA expression profile from Chinese Glioma Genome Atlas (CGGA) and RNAseq data from The Cancer Genome Atlas (TCGA). Patients with MGMT methylation in low risk group had longer survival than those in high risk group (median overall survival 1074 vs. 372 days; P = 0.0033). Moreover, the prognostic value of the signature was significant difference in cohorts stratified by MGMT methylation and chemotherapy (P=0.0473), while there is no significant difference between low and high risk group or unmethylated MGMT patients without chemotherapy. Multivariate analysis indicated that the risk score was an independent prognosis factor (P = 0.004). In conclusion, our results showed that the signature has prognostic value for patients with MGMT promoter-methylated glioblastomas based on bioinformatics analysis.

摘要

胶质母细胞瘤是最恶性的肿瘤,死亡率很高。MGMT启动子甲基化导致这些患者对化疗敏感。然而,仍有其他因素影响具有相似MGMT甲基化状态的胶质母细胞瘤患者的预后。我们从中国胶质瘤基因组图谱(CGGA)的全基因组mRNA表达谱和癌症基因组图谱(TCGA)的RNAseq数据中筛选出三个基因,构建了一个特征模型。低风险组中MGMT甲基化的患者比高风险组的患者生存期更长(中位总生存期1074天对372天;P = 0.0033)。此外,在按MGMT甲基化和化疗分层的队列中,该特征模型的预后价值存在显著差异(P = 0.0473),而在低风险组和高风险组之间或未接受化疗的MGMT未甲基化患者之间没有显著差异。多因素分析表明,风险评分是一个独立的预后因素(P = 0.004)。总之,我们的结果表明,基于生物信息学分析,该特征模型对MGMT启动子甲基化的胶质母细胞瘤患者具有预后价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9809/5342529/8b6014a68412/oncotarget-07-69991-g001.jpg

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