Myeloid-driven immunosuppression in head and neck cancer: single-cell ATAC/RNA and spatial transcriptomic perspectives

Head and neck squamous cell carcinoma (HNSCC) remains a prevalent epithelial malignancy. Immune-checkpoint inhibitors have reshaped first-line therapy for recurrent/metastatic disease; yet durable benefit is confined to a subset, reflecting myeloid-centric mechanisms-SPP1<sup>+</sup> TAM barriers, cDC1/IL-12 insufficiency, and CXCL8-CXCR1/2-driven neutrophil trafficking-distinct from, and complementary to, classical lymphoid exhaustion. In this review we summarize advances from single-cell RNA and ATAC profiling and spatial transcriptomics that resolve macrophage, dendritic-cell and neutrophil programs, and appraise translational opportunities spanning myeloid reprogramming, innate-adaptive combinations and spatial biomarkers. We also discuss enduring challenges-including HPV-status heterogeneity, limited assay standardization and a scarcity of predictive metrics-that temper implementation. By integrating myeloid-informed readouts (e.g., SPP1-TAM burden, cDC1 competency, serum IL-8) with PD-1-based regimens, EGFR-directed antibodies and myeloid checkpoints (CD47-SIRPα, PI3Kγ, CXCR1/2), emerging strategies aim to restore antigen presentation, improve lymphocyte trafficking and remodel tumor-stroma interfaces. Our synthesis provides an appraisal of the evolving landscape of myeloid-informed precision immuno-oncology in HNSCC and outlines pragmatic standards and avenues for clinical translation. We hope these insights will assist researchers and clinicians as they endeavor to implement more effective, individualized regimens.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-12-18
DOI
https://doi.org/10.3389/fonc.2025.1693152
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Myeloid-driven immunosuppression in head and neck cancer: single-cell ATAC/RNA and spatial transcriptomic perspectives

Ray Luo, Ziping Cao, Jianzheng Yang, B. Li
Frontiers in Oncology
Single-cell and spatial transcriptomics
article

Myeloid-driven immunosuppression in head and neck cancer: single-cell ATAC/RNA and spatial transcriptomic perspectives

Ray Luo, Ziping Cao, Jianzheng Yang, B. Li
article en

Abstract

Head and neck squamous cell carcinoma (HNSCC) remains a prevalent epithelial malignancy. Immune-checkpoint inhibitors have reshaped first-line therapy for recurrent/metastatic disease; yet durable benefit is confined to a subset, reflecting myeloid-centric mechanisms-SPP1<sup>+</sup> TAM barriers, cDC1/IL-12 insufficiency, and CXCL8-CXCR1/2-driven neutrophil trafficking-distinct from, and complementary to, classical lymphoid exhaustion. In this review we summarize advances from single-cell RNA and ATAC profiling and spatial transcriptomics that resolve macrophage, dendritic-cell and neutrophil programs, and appraise translational opportunities spanning myeloid reprogramming, innate-adaptive combinations and spatial biomarkers. We also discuss enduring challenges-including HPV-status heterogeneity, limited assay standardization and a scarcity of predictive metrics-that temper implementation. By integrating myeloid-informed readouts (e.g., SPP1-TAM burden, cDC1 competency, serum IL-8) with PD-1-based regimens, EGFR-directed antibodies and myeloid checkpoints (CD47-SIRPα, PI3Kγ, CXCR1/2), emerging strategies aim to restore antigen presentation, improve lymphocyte trafficking and remodel tumor-stroma interfaces. Our synthesis provides an appraisal of the evolving landscape of myeloid-informed precision immuno-oncology in HNSCC and outlines pragmatic standards and avenues for clinical translation. We hope these insights will assist researchers and clinicians as they endeavor to implement more effective, individualized regimens.

Frontiers in OncologyVol. 15
Third People 's Hospital of Chongqing (CN), Hegang People's Hospital (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), First People's Hospital of Chongqing (CN), Chongqing Medical University (CN)
Openalex Percentile: Top 63%
Single-cell and spatial transcriptomics
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