Identification of SLC2A1 as a predictive biomarker for survival and response to immunotherapy in lung squamous cell carcinoma
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Summary
This summary is machine-generated.Solute carrier family 2 member 1 (SLC2A1), or glucose transporter-1 (GLUT1), is upregulated in lung squamous cell carcinoma, correlating with poor survival and immunotherapy response. Inhibiting GLUT1 may offer new treatment strategies for LUSC patients.
Area Of Science
- Oncology
- Molecular Biology
- Immunology
Background
- Lung squamous cell carcinoma (LUSC) is a major subtype of non-small cell lung cancer with limited advanced-stage treatment options.
- Identifying genes linked to survival and immunotherapy efficacy is crucial for LUSC patient management.
Purpose Of The Study
- To investigate the role of solute carrier family 2 member 1 (SLC2A1), encoding glucose transporter-1 (GLUT1), in LUSC progression and response to therapy.
- To explore the association between SLC2A1 expression, tumor microenvironment, and patient outcomes.
Main Methods
- Differential gene expression analysis using TCGA LUSC bulk and single-cell RNA-sequencing data.
- Prognostic gene identification, protein expression validation, and survival analyses.
- In vitro experiments to elucidate mechanisms of SLC2A1 in macrophage polarization and response to immunochemotherapy.
Main Results
- SLC2A1 (GLUT1) was upregulated in LUSC tissues and identified as an independent prognostic factor.
- High SLC2A1 expression correlated with enriched glycolysis, increased protein lactylation, and SPP1+ macrophage abundance.
- GLUT1 inhibition affected HIF-1α-induced macrophage polarization; SLC2A1 expression inversely correlated with immune checkpoint molecules (PD-1, TIGIT, CTLA4, LAG3).
Conclusions
- Elevated GLUT1 expression in LUSC is linked to worse survival and poor pathological response to immunotherapy.
- GLUT1 promotes M2 macrophage polarization, impacting the tumor microenvironment and treatment efficacy.
- Targeting GLUT1 could inform personalized immunotherapy strategies for LUSC patients.

