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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.
Background:
Approximately half of the isocitrate dehydrogenase (IDH)-wildtype glioblastomas (GBMs) exhibit EGFR amplification. Additionally, genomic changes that occur in the extracellular domain of EGFR can lead to ligand-hypersensitivity (R108K/A289V/G598V) or ligand-independence (EGFRvIII). Unlike in lung adenocarcinoma (LUAD), clinical trials with epidermal growth factor receptor (EGFR) inhibitors showed no survival benefit for GBM and it remains unclear why. We aimed to elucidate differences in molecular mechanisms of EGFR activation and regulation between GBM and LUAD.
Methods:
We used RNA-sequencing (RNA-seq) data to find EGFR co-regulated genes and pathways in GBM and compare EGFR signaling patterns between GBM and LUAD. Cellular origins of expression signals were determined by analyzing single-cell RNA-seq data.
Results:
We identified 2 ligands (BTC/EREG) among the significant EGFR predictor genes (TCGA-GBM: n = 169, Intellance-2: n = 166). Their expression was inversely correlated with EGFR amplification and incidence of ligand-sensitive mutations. Ligands were expressed by nonmalignant cells and differed in their primary source of expression (BTC: neurons, EREG: myeloid). High expression of MDM2 and CDK4 was less common in EGFR-amplified GBMs with ligand-sensitive mutations compared with those without these mutations. Our analyses revealed distinct transcriptional profiles between GBM and LUAD when comparing tumors carrying activating mutations.
Conclusions:
BTC and EREG are negatively associated with EGFR expression in GBM. These findings emphasize the role of ligands in regulating EGFR, where EGFR activation seems to be modulated by the highly varying levels of EGFR amplification, the sensitivity of the receptor toward ligands, and ligand expression levels. Ligand expression levels and EGFR mutations could refine patient stratification for EGFR-targeted therapies in GBM.
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.
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