机构：[1]Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 6 Tiantan Xili, Dongcheng District, Beijing 100050, China重点科室诊疗科室神经外科神经外科首都医科大学附属天坛医院[2]Department of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou 215123, China神经外科普外科苏州大学附属第二医院[3]Beijing Neurosurgical Institute, Capital Medical University, Beijing 100050, China研究所北京市神经外科研究所首都医科大学附属天坛医院[4]Department of Neurosurgery, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China[5]Chinese Glioma Cooperative Group (CGCG), Beijing, China[6]China National Clinical Research Center for Neurological Diseases, Beijing, China
Different gene expression and methylation profiles are identified in glioblastoma (GBM). To screen the differentially expressed genes affected by DNA methylation modification and further investigate their prognostic values for GBMs. We included The Cancer Genome Atlas (TCGA) RNA sequencing (676) and DNA methylation (Illumina Human Methylation 450K; 657) databases to detect the gene expression and methylation profiles. Chinese Glioma Genome Atlas (CGGA) RNA sequencing database and TCGA DNA methylation (Illumina Human Methylation 27K; 283) was included for validation. Gene expression and DNA methylation statues were identified using principal components analysis (PCA). A total of 3365 differentially expressed genes were identified. Among them, 2940 genes showed low methylation and high expression, while 425 genes showed high methylation and low expression in GBMs. An eight-gene (C9orf64, OSMR, MDK, MARVELD1, PTRF, MYD88, BIRC3, RPP25) signature was established to divide GBM patients into two groups based on the cut-off point (27.24). The high risk group had shorter overall survival (OS) than low risk group (median OS 15.77 vs. 10.61 months; P = 0.0002). Moreover, the different clinical and molecular features were shown between two groups. These findings could be validated in additional datasets. The differentially expressed genes affected by DNA methylation modification were detected. Our results showed that the eight-gene signature has independently prognostic value for GBM patients.
基金：
This work was supported by grants from Ministry of Science
and Technology of China Grant (2012CB825505, 2011BAI08B08);
National Key Technology Research and Development Program of
the Ministry of Science and Technology of China (2013BAI09B03,
2014BAI04B02); National High Technology Research and Development
Program (2012AA02A508); National Natural Science Foundation
of China (91229121); Beijing Municipal Administration of Hospitals’
Mission Plan (SML20150501); “13th Five-Year Plan” National Science
and Technology supporting plan (2015BAI09B04).
第一作者机构：[1]Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 6 Tiantan Xili, Dongcheng District, Beijing 100050, China[2]Department of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou 215123, China[5]Chinese Glioma Cooperative Group (CGCG), Beijing, China[6]China National Clinical Research Center for Neurological Diseases, Beijing, China
通讯作者：
通讯机构：[1]Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 6 Tiantan Xili, Dongcheng District, Beijing 100050, China[2]Department of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou 215123, China[6]China National Clinical Research Center for Neurological Diseases, Beijing, China
推荐引用方式(GB/T 7714)：
Wen Wang,Zheng Zhao,Fan Wu,et al.Bioinformatic analysis of gene expression and methylation regulation in glioblastoma[J].JOURNAL OF NEURO-ONCOLOGY.2018,136(3):495-503.doi:10.1007/s11060-017-2688-1.
APA：
Wen Wang,Zheng Zhao,Fan Wu,Haoyuan Wang,Jiangfei Wang...&Jizong Zhao.(2018).Bioinformatic analysis of gene expression and methylation regulation in glioblastoma.JOURNAL OF NEURO-ONCOLOGY,136,(3)
MLA：
Wen Wang,et al."Bioinformatic analysis of gene expression and methylation regulation in glioblastoma".JOURNAL OF NEURO-ONCOLOGY 136..3(2018):495-503
