High Expression of Fibronectin 1 Predicts a Poor Prognosis in Glioblastoma

Curr Med Sci. 2022 Oct;42(5):1055-1065. doi: 10.1007/s11596-022-2638-9. Epub 2022 Oct 19.

Abstract

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<0.05). Multivariate analysis showed that FN1 overexpression (HR=9.199, P=0.002) was an independent and unfavorable prognostic factor for GBM patients. The median survival time was 8.5 months and 21 months for high and low expressions of FN1, respectively.

Conclusion: It was suggested that FN1 could be an ideal target for prognosis and a potential therapeutic target in GBM.

Keywords: FN1; glioblastoma; overall survival; prognosis.

MeSH terms

  • Biomarkers
  • Fibronectins / genetics
  • Glioblastoma* / genetics
  • Glioblastoma* / metabolism
  • Humans
  • Prognosis
  • RNA

Substances

  • Fibronectins
  • Biomarkers
  • RNA