Unknown

Dataset Information

0

Identification of hub genes related to prognosis in glioma.


ABSTRACT: Glioma, a common malignant tumor of the central nervous system, has high invasiveness. The objective of the present study was to identify genes playing an important role in the development of glioma and to reveal their potential research value. Conjoint analysis on the GSE16011 dataset in the Gene Expression Omnibus (GEO) database and the 'Messenger RNA Expression Microarray of Diffuse Gliomas and Controls' dataset and 'RNA sequencing of Diffuse Gliomas' dataset in the Chinese Glioma Genome Atlas (CGGA) database is carried out in the study. The weighted correlation network analysis (WGCNA) was used to carry out co-expression analysis on the GSE16011. Finally, 24 genes significantly related to grade and prognosis were obtained. In addition, there is no report about CACNG2, JPH3, TUBB6 (tubulin ? 6 class V), NRSN1, FAM19A2, NALCN, CDH18, GNAL on glioma.

SUBMITTER: Zhang D 

PROVIDER: S-EPMC7253401 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Identification of hub genes related to prognosis in glioma.

Zhang Delong D   Zhao Jinxia J   Han Chengzheng C   Liu Xiaocen X   Liu Jun J   Yang Hui H  

Bioscience reports 20200501 5


Glioma, a common malignant tumor of the central nervous system, has high invasiveness. The objective of the present study was to identify genes playing an important role in the development of glioma and to reveal their potential research value. Conjoint analysis on the GSE16011 dataset in the Gene Expression Omnibus (GEO) database and the 'Messenger RNA Expression Microarray of Diffuse Gliomas and Controls' dataset and 'RNA sequencing of Diffuse Gliomas' dataset in the Chinese Glioma Genome Atla  ...[more]

Similar Datasets

| S-EPMC8084191 | biostudies-literature
| S-EPMC7780890 | biostudies-literature
| S-EPMC9239823 | biostudies-literature
| S-EPMC6513982 | biostudies-literature
| S-EPMC5725130 | biostudies-literature
| S-EPMC7867449 | biostudies-literature