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Background <p>Glioma exhibits significant molecular heterogeneity, necessitating improved understanding of molecular subtypes for personalized treatment strategies.</p> Methods <p>This study integrated bulk RNA sequencing (GSE35169) to derive transcriptome-defined groups and single-cell RNA sequencing (GSE131928) to characterize cellular heterogeneity and EGFR-associated malignant cell programs. Differential gene expression analysis identified subtype-specific biomarkers. Single-cell analysis included cell-type annotation, pseudotime trajectory, and cell–cell communication inference, with malignant cells stratified by EGFR expression to interrogate EGFR-associated programs. Key findings were validated by qRT-PCR in glioma cell lines (LN229, U251) and normal astrocytes (NHA).</p> Results <p>Two transcriptome-defined groups were identified from bulk RNA-seq.&#xa0;In scRNA-seq, the EGFR-high malignant cell state showed enrichment of ECM-related genes (IGFBP2, COL1A1) and enhanced PI3K-AKT, focal adhesion, and angiogenic signaling, with predominant stromal-to-tumor communication (EGF/AREG→EGFR, TGFB1→TGFBR2). The EGFR-low malignant cell state exhibited higher expression of immune-related genes (CXCL10, IL6, STAT1). Functional enrichment analysis based on differentially expressed genes (FDR &lt; 0.05) indicated significant enrichment of interferon signaling and JAK-STAT pathway–related gene sets in the EGFR-low group. Pseudotime analysis revealed gradual transcriptional transitions between proliferation, hypoxia, and immune programs. qRT-PCR validation confirmed elevated EGFR, IGFBP2, and COL1A1 in U251 cells, and higher CXCL10, IL6, and STAT1 in LN229 cells.</p> Conclusion <p>This study identifies bulk transcriptome-defined groups and reveals EGFR-associated malignant cell programs linked to distinct microenvironmental interaction patterns. The EGFR-high malignant cell state features proliferative and angiogenic programs, while the EGFR-low malignant cell state shows enhanced immune infiltration. These findings provide molecular evidence for precision classification and subtype-specific therapeutic strategies.</p>

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Integrated bulk and single-cell transcriptomic analyses identify transcriptome-defined groups and EGFR-associated microenvironmental programs in glioma

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月8日

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  • Yuanhan Wang,
  • Long Li,
  • Xing Hu,
  • Longhu Han,
  • Yihan Zhang,
  • Zhisen Zhou,
  • Wei Liu,
  • Song Yang

摘要

Background

Glioma exhibits significant molecular heterogeneity, necessitating improved understanding of molecular subtypes for personalized treatment strategies.

Methods

This study integrated bulk RNA sequencing (GSE35169) to derive transcriptome-defined groups and single-cell RNA sequencing (GSE131928) to characterize cellular heterogeneity and EGFR-associated malignant cell programs. Differential gene expression analysis identified subtype-specific biomarkers. Single-cell analysis included cell-type annotation, pseudotime trajectory, and cell–cell communication inference, with malignant cells stratified by EGFR expression to interrogate EGFR-associated programs. Key findings were validated by qRT-PCR in glioma cell lines (LN229, U251) and normal astrocytes (NHA).

Results

Two transcriptome-defined groups were identified from bulk RNA-seq. In scRNA-seq, the EGFR-high malignant cell state showed enrichment of ECM-related genes (IGFBP2, COL1A1) and enhanced PI3K-AKT, focal adhesion, and angiogenic signaling, with predominant stromal-to-tumor communication (EGF/AREG→EGFR, TGFB1→TGFBR2). The EGFR-low malignant cell state exhibited higher expression of immune-related genes (CXCL10, IL6, STAT1). Functional enrichment analysis based on differentially expressed genes (FDR < 0.05) indicated significant enrichment of interferon signaling and JAK-STAT pathway–related gene sets in the EGFR-low group. Pseudotime analysis revealed gradual transcriptional transitions between proliferation, hypoxia, and immune programs. qRT-PCR validation confirmed elevated EGFR, IGFBP2, and COL1A1 in U251 cells, and higher CXCL10, IL6, and STAT1 in LN229 cells.

Conclusion

This study identifies bulk transcriptome-defined groups and reveals EGFR-associated malignant cell programs linked to distinct microenvironmental interaction patterns. The EGFR-high malignant cell state features proliferative and angiogenic programs, while the EGFR-low malignant cell state shows enhanced immune infiltration. These findings provide molecular evidence for precision classification and subtype-specific therapeutic strategies.