Identification of COL6A1 as the Key Gene Associated with Antivascular Endothelial Growth Factor Therapy in Glioblastoma Multiforme

• Published in: Genetic testing and molecular biomarkers
• Main Authors: Lin, Han, Yang, Yong, Hou, Chongxian, Zheng, Jiantao, Lv, Guangzhao, Mao, Rui, Xu, Peihong, Chen, Shanwei, Zhou, Yujun, Wang, Peng, Zhou, Dong
• Format: Journal Article
• Language: English
• Published: United States 01.05.2021
• Subjects: glioblastoma; WGCNA; prognosis; VEGF; COL6A1
• ISSN: 1945-0257
• DOI: 10.1089/gtmb.2020.0279

Vascular endothelial growth factors (VEGFs) are important for glioblastoma multiforme (GBM) growth and development. However, the effects of VEGF-targeting drugs in primary GBM remain poorly understood. We aimed to explore the key genes correlated with VEGF expression and prognosis and elucidate their potential implications in GBM anti-VEGF therapy. RNA-seq data with the corresponding clinicopathological information was retrieved from The Cancer Genome Atlas and the Chinese Glioma Genome Atlas. Weighted gene coexpression network analyses was performed on differentially expressed genes to construct coexpression modules and investigate their correlation with VEGFs. Functional enrichment analyses were performed based on the coexpressed genes from the most promising modules. CytoHubba and Kaplan-Meier analyses were implemented to identify the key genes in the modules of interest. The oncomine database, quantitative reverse transcription PCR, and the Human Protein Atlas were used to investigate the expression characteristics of the identified key genes. Four modules (cyan, green, purple, and tan) correlated significantly with VEGF expression. Enrichment analyses suggested that extracellular matrix-receptor interaction, growth factor binding, and the PI3K-Akt pathways were involved in VEGF expression. Four hub genes ( , , , ) associated with VEGF member were identified. Among them, was regarded as the key gene associated with anti-VEGF therapy. Further, was upregulated in GBM compared to that in normal brain tissues. overexpression predicted a worse prognosis. was identified as the key gene associated with anti-VEGF therapy and may provide novel insight into GBM targeted therapy.