A 4-gene panel predicting the survival of patients with glioblastoma.
J Cell Biochem
; 120(9): 16037-16043, 2019 09.
Article
em En
| MEDLINE
| ID: mdl-31081973
ABSTRACT
BACKGROUND:
To identify independently prognostic gene panel in patients with glioblastoma (GBM). MATERIALS ANDMETHODS:
The Cancer Genome Atlas (TCGA)-GBM was used as a training set and a test set. GSE13041 was used as a validation set. Survival associated differentially expression genes (DEGs), derived between GBM and normal brain tissue, was obtained using univariate Cox proportional hazards regression model and then was included in a least absolute shrinkage and selection operator penalized Cox proportional hazards regression model. Thus, a 4-gene prognostic panel was developed based on the risk score for each patient in that model. The prognostic role of the 4-gene panel was validated using univariate and multivariable Cox proportional hazards regression model.RESULTS:
A total of 686 patients with GBM were included in our study; 724 DEGs was identified, 133 of which was significantly correlated with the overall survival (OS) of patients with GBM. A 4-gene panel including NMB, RTN1, GPC5, and epithelial membrane protein 3 (EMP3) was developed. Kaplan-Meier survival analysis suggested that patients in the 4-gene panel low risk group had significantly better OS than those in the 4-gene panel high risk group in the training set (hazard ratio [HR] = 0.3826; 95% confidence interval [CI] 0.2751-0.532; P < 0.0001), test set (HR = 0.718; 95% CI 0.5282-0.9759; P = 0.033) and the independent validation set (HR = 0.6898; 95% CI 0.4872-0.9766; P = 0.035). Both univariate and multivariable Cox proportional hazards regression analysis suggested that the 4-gene panel was independent prognostic factor for GBM in the training set.CONCLUSION:
We developed and validated 4-gene panel that was independently correlated with the survival of patients with GBM.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Encefálicas
/
Biomarcadores Tumorais
/
Glioblastoma
/
Perfilação da Expressão Gênica
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Female
/
Humans
/
Male
Idioma:
En
Revista:
J Cell Biochem
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
China