Transcriptomic analysis of EGFR co-expression and activation in glioblastoma reveals associations with its ligands

Santoesha A Ghisai1, Nastaran Barin2,1, Levi van Hijfte3,1

  • 1Department of Neurology, Erasmus Medical Center Cancer Institute, Rotterdam, The Netherlands.

Neuro-Oncology Advances
|February 17, 2025
PubMed
Abstract

Insights

Epidermal growth factor receptor (EGFR) regulation differs between glioblastoma (GBM) and lung adenocarcinoma (LUAD). Ligands like BTC and EREG negatively correlate with EGFR expression in GBM, suggesting a role in treatment stratification.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Glioblastomas (GBMs) often have EGFR amplification, with mutations leading to ligand-hypersensitivity or independence.
  • EGFR inhibitors have not improved survival in GBM, unlike in lung adenocarcinoma (LUAD), indicating unknown molecular differences.
  • This study investigates the distinct molecular mechanisms of EGFR activation and regulation between GBM and LUAD.

Purpose of the Study:

  • To elucidate the molecular mechanisms underlying differential EGFR activation and regulation in GBM compared to LUAD.
  • To identify key genes and pathways co-regulated with EGFR in GBM.
  • To compare EGFR signaling patterns between GBM and LUAD.

Main Methods:

  • RNA-sequencing (RNA-seq) was used to identify EGFR co-regulated genes and pathways in GBM.
  • Comparative analysis of EGFR signaling patterns between GBM and LUAD was performed.
  • Single-cell RNA-seq data was analyzed to determine the cellular origins of gene expression signals.

Main Results:

  • Two ligands, BTC and EREG, were identified as significant EGFR predictors in GBM and inversely correlated with EGFR amplification and ligand-sensitive mutations.
  • Ligands (BTC, EREG) were expressed by nonmalignant cells, with distinct primary sources (neurons for BTC, myeloid for EREG).
  • Distinct transcriptional profiles were observed between GBM and LUAD in tumors with activating EGFR mutations, with lower MDM2 and CDK4 expression in EGFR-amplified GBMs with ligand-sensitive mutations.

Conclusions:

  • BTC and EREG expression negatively associates with EGFR expression in GBM, highlighting their regulatory role.
  • EGFR activation in GBM is modulated by EGFR amplification levels, receptor sensitivity to ligands, and ligand expression.
  • Ligand expression levels and EGFR mutations may refine patient stratification for EGFR-targeted therapies in GBM.