国家神经系统疾病临床医学研究中心数据管理与共享系统

Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

《国家中心数据管理与共享系统操作说明书 —— 研究者部分》

Predicting the likelihood of postoperative seizure status based on mRNA sequencing in low-grade gliomas

第一作者：Wang Zheng,Yang Pei, Pei

通讯作者：JiangTao, Zhang Chuan-Bao, Chuan-Bao

low-grade glioma mRNA-seq postoperative seizure pr

基本信息

2018-03-01

已发表文章

发表杂志：Future Oncol

发表类型: Research Article

影响因子(IF): 3.404

PMID: 29206064 Pubmed原文链接 全文下载

主要研究背景及目的

方法

mRNA-seq data and corresponding postoperative seizure status of 109 low-grade glioma samples were obtained from Chinese Glioma Genome Atlas database and divided into two sets randomly. Logistic regression and receiver operating characteristic analysis with risk score method were used to develop a ten-gene prediction model.

结论

This is the first prediction model for postoperative seizures in gliomas, integrating multiple genes. Clinical application may help patients with postoperative seizure control.

主要结果

Considering gene number and area under the curve of receiver operating characteristic, a ten-gene model was generated which showed an area under the curve of 0.9965 in training set. Patients with high-risk scores had higher probability of postoperative seizure compared with those with low-risk scores.