Identification of hub genes related to prognosis in glioma | Zendy

Delong Zhang | Zendy; Jinxia Zhao | Zendy; Chengzheng Han | Zendy; Xiaocen Liu | Zendy; Jun Liu | Zendy; Hui Yang | Zendy

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Identification of hub genes related to prognosis in glioma

Author(s) -

Delong Zhang,

Jinxia Zhao,

Chengzheng Han,

Xiaocen Liu,

Jun Liu,

Hui Yang

Publication year - 2020

Publication title -

bioscience reports

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.938

H-Index - 77

eISSN - 1573-4935

pISSN - 0144-8463

DOI - 10.1042/bsr20193377

Subject(s) - glioma , gene , biology , genome , microarray , microarray analysis techniques , computational biology , gene expression , dna microarray , genetics

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 β 6 class V), NRSN1, FAM19A2, NALCN, CDH18, GNAL on glioma.

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