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

Author:

Wang Zheng1,Yang Pei2,You Gan2,Zhang Wei2,Bao Zhao-shi2,Jiang Tao1234,Zhang Chuan-bao1

Affiliation:

1. Beijing Neurosurgical Institute, Capital Medical University, Beijing, PR China

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

3. China National Clinical Research Center for Neurological Diseases, Beijing, PR China

4. Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing, PR China

Abstract

Aim: No comprehensive and objective methods yet exist for predicting postoperative seizure. Patients & methods: 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. 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. Conclusion: This is the first prediction model for postoperative seizures in gliomas, integrating multiple genes. Clinical application may help patients with postoperative seizure control.

Publisher

Future Medicine Ltd

Subject

Cancer Research,Oncology,General Medicine

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