Bioinformatics analysis identifies GLUD1 as a prognostic indicator for clear cell renal cell carcinoma

Eur J Med Res. 2024 Jan 20;29(1):70. doi: 10.1186/s40001-024-01649-2.

Abstract

Background: Renal cell carcinoma (RCC) is a common primary tumor of the kidney and is divided into three major subtypes, of which clear cell renal cell carcinoma (ccRCC) has the highest incidence. Glutamate dehydrogenase 1 (GLUD1) encodes glutamate dehydrogenase 1, which catalyzes the oxidative deamination of glutamate.

Methods: We analyzed TCGA data using R language software and used multiple online databases to explore the relationship of GLUD1 with signaling pathways and drug sensitivity as well as GLUD1 protein expression and methylation.

Results: The results showed that GLUD1 mRNA expression was reduced in tumor tissues and correlated with the progression of ccRCC. Univariate and multivariate Cox analysis showed that GLUD1 could be used as a prognostic marker for ccRCC. GLUD1 expression in ccRCC was associated with immune cells infiltration and multiple classical signaling pathways. In addition, GLUD1 mRNA expression was related to drug sensitivity.

Conclusions: These findings provide new ideas for finding new prognostic molecular markers and therapeutic targets for ccRCC.

Keywords: Bioinformatics; GLUD1; Renal cell carcinoma; TCGA.

MeSH terms

  • Carcinoma, Renal Cell* / genetics
  • Carcinoma, Renal Cell* / pathology
  • Computational Biology
  • Glutamate Dehydrogenase
  • Humans
  • Kidney Neoplasms* / genetics
  • Kidney Neoplasms* / metabolism
  • Kidney Neoplasms* / pathology
  • Prognosis
  • RNA, Messenger / metabolism

Substances

  • Glutamate Dehydrogenase
  • RNA, Messenger
  • GLUD1 protein, human