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

First author：Wang Zheng,Yang Pei, Pei

Corresponding author：JiangTao, Zhang Chuan-Bao, Chuan-Bao

low-grade glioma mRNA-seq postoperative seizure pr

essential_information

2018-03-01

Published articles

Journal：Future Oncol

Publication type: Research Article

IF(IF): 3.404

PMID: 29206064 Link To Pubmed Full text Download

Background And Purpose

Method

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.

Conclusion

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

Main results

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.