High Expression of Fibronectin 1 Predicts a Poor Prognosis in Glioblastoma

• Published in: Current medical science 2022-10, Vol.42 (5), p.1055-1065
• Main Authors: Wu, Song, Liu, Chang, Wei, Xing, Nong, Wei-xia, Lin, Li-na, Li, Feng, Xie, Xiao-xun, Liao, Xing-sheng, Luo, Bin, Zhang, Qing-mei, Xiao, Shao-wen
• Format: Article
• Language: English
• Subjects: Medicine; Medicine & Public Health
• ISSN: 2096-5230; 2523-899X
• DOI: 10.1007/s11596-022-2638-9

Objective Glioblastoma multiforme (GBM), the most malignant intracranial neoplasm, is associated with a high mortality and recurrence rate due to the aggressive nature and heterogeneity of the tumor. Some of the molecular markers involved in the tumorigenesis of GBM are essential in prognosis, diagnosis, and treatment. Due to the limitations of therapeutic effects, this study aims to explore novel biomarkers with prognostic value and to provide new insights into therapeutic targets. Methods The expression profile of mRNAs in GBM was detected by RNA-sequencing, and differentially expressed genes were identified by integrating the data from RNA-seq results and the GEPIA2 database. Of the total 40 hub genes, FN1, P4HB, and PPIB showed prognostic significance based on both GEPIA2 and CGGA databases. The validation of FN1, P4HB, and PPIB expression by qPCR and correlation analysis with clinicopathological features were performed in 41 GBM tissues from our institution. Results Kaplan-Meier analysis revealed that FN1 and P4HB expressions levels were related to the overall survival (OS) of GBM patients ( P