Effect of differential hypoxia-related gene expression on glioblastoma

作者：Lin, Chao-Qun; Chen, Lu-Kui^*

来源：Journal of International Medical Research, 2021, 49(5): 03000605211013774.

DOI：10.1177/03000605211013774

• Glioblastoma
• the Cancer Genome Atlas
• hypoxia
• prognostic
• nomogram
• risk scoring model

Objective @@@ Glioblastoma (GB) is a refractory malignancy with a high rate of recurrence and treatment resistance. Hypoxia-related genes are promising prognostic indicators for GB, so we herein developed a reliable hypoxia-related gene risk scoring model to predict the prognosis of patients with GB. @@@ Method @@@ Gene expression profiles and corresponding clinicopathological features of patients with GB were obtained from the Cancer Genome Atlas (TCGA; n = 160) and Gene Expression Omnibus (GEO) GSE7696 (n = 80) databases. Univariate and multivariate Cox regression analyses of differentially expressed hypoxia-related genes were performed using R 3.5.1 software. @@@ Result @@@ Fourteen prognosis-related genes were identified and used to construct a risk signature. Patients with high-risk scores had significantly lower overall survival (OS) than those with low-risk scores. The median risk score was used as a critical value and for OS prediction in an independent external verification GSE7696 cohort. Risk score was not significantly affected by clinical-related factors. We also developed a prediction nomogram based on the TCGA training set to predict survival rates, and included six independent prognostic parameters in the TCGA prediction model. @@@ Conclusion @@@ We determined a reliable hypoxia-related gene risk scoring model for predicting the prognosis of patients with GB.

• 单位
  南方医科大学