Comprehensive tumour-immune profiling reveals TREM2+ tumour-associated macrophages facilitating lymph node metastasis in head and neck squamous cell carcinoma.

Lymph node (LN) metastasis is a well-established independent prognostic factor in head and neck squamous cell carcinoma (HNSCC). Formation of suppressive tumour immune microenvironment (TIME) is a major contributor to tumour immune evasion and metastasis. However, the TIME landscape underlying LN-metastatic HNSCC remains poorly elucidated.

A total of 688 866 single-cell transcriptomes across 212 HNSCC samples were integrated. Comprehensive bioinformatic analyses on single-cell RNA sequencing and microarray datasets revealed a TREM2+ tumour-associated macrophage (TAM) cluster associated with LN metastasis. The functional role of TREM2+ TAMs was investigated through multiplex immunohistochemistry (mIHC) staining in clinical HNSCC cohort and in vitro co-culture experiments. Furthermore, machine learning algorithms were employed to construct a prognostic model for HNSCC.

Integrative single-cell analysis revealed the immunosuppressive TIME of LN-metastatic HNSCC, characterised by high infiltration of exhausted CD8+ T cells (CD8+ Tex). We identified a specific TREM2+ TAM cluster that was strongly associated with CD8+ Tex infiltration and LN metastasis. In vitro experiment confirmed that TREM2+ TAMs promoted CD8+ T cell exhaustion. Mechanistically, TREM2+ TAMs exhibited a terminally differentiated phenotype driven by ETV5, and secreted SPP1 to interact with CD44 on CD8+ T cells, thus upregulating BHLHE40 to promote CD8+ Tex formation. Clinically, a prognostic model based on TREM2+ TAM signature genes was trained to independently predict HNSCC outcomes.

This study delineates the mechanism that TREM2+ TAMs promote LN metastasis in HNSCC by facilitating CD8+ T cells exhaustion via SPP1-CD44-BHLHE40 axis, proposing TREM2+ TAMs as potential therapeutic target for HNSCC.
Cancer
Care/Management
Policy

Authors

Wu Wu, Cheng Cheng, Li Li, Ren Ren, Cao Cao, Huang Huang, Wang Wang, Wu Wu, Lee Lee, Zhang Zhang, Zheng Zheng, Wang Wang
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