Identification of PYGL as a key prognostic gene of glioma by integrated bioinformatics analysis

Future Oncol. 2022 Feb;18(5):579-596. doi: 10.2217/fon-2021-0759. Epub 2022 Jan 17.

Abstract

Aim: PYGL has been reported to have carcinogenic effects in a variety of tumors. This study is the first to reveal the relationship between PYGL and the prognosis of glioma. Materials & methods: Analyzing the Chinese Glioma Genome Atlas database, the authors revealed the expression status and prognostic value of PYGL in gliomas and used quantitative real-time PCR to verify PYGL expression again. Subsequently, they used Gene Set Enrichment Analysis to explore the biological pathways that PYGL may participate in. The authors also used the tumor immune estimation resource database to explore the relationship between PYGL and tumor immune cells. Results: PYGL is involved in the malignant progression of glioma. Conclusions: PYGL can be used as a new biomarker and molecular target for evaluating the prognosis and immunotherapy of glioma.

Keywords: MAPK signaling pathway; PYGL; VEGF signaling pathway; bioinformatics analysis; biomarker; glioma; immune; immunotherapy; notch signaling pathway; prognostic.

Publication types

  • Meta-Analysis

MeSH terms

  • Biomarkers, Tumor / genetics*
  • Brain Neoplasms / genetics*
  • Brain Neoplasms / metabolism
  • Computational Biology
  • Gene Expression Profiling*
  • Gene Expression Regulation, Neoplastic
  • Glioma / genetics*
  • Glycogen Phosphorylase, Liver Form / genetics*
  • Glycogen Phosphorylase, Liver Form / metabolism
  • Humans
  • MAP Kinase Signaling System
  • Prognosis
  • Receptors, Notch / metabolism
  • Signal Transduction
  • Survival Analysis
  • Tumor Cells, Cultured
  • Vascular Endothelial Growth Factor A / metabolism

Substances

  • Biomarkers, Tumor
  • Receptors, Notch
  • Vascular Endothelial Growth Factor A
  • Glycogen Phosphorylase, Liver Form
  • PYGL protein, human