Single‐Cell Profiling Reveals Conserved Differentiation and Partial <scp>EMT</scp> Programs Orchestrating Ecosystem‐Level Antagonisms in Head and Neck Cancer

Head and neck squamous cell carcinoma (HNSC) exhibits profound intratumoral heterogeneity, driven by dynamic interactions between malignant cells and the tumour microenvironment (TME). Using consensus non-negative matrix factorisation (cNMF) on multi-site HNSC single-cell transcriptomes, we resolving conserved meta-programs define cellular ecosystems. Six major epithelial programmes emerged, including a differentiation-associated programme (Epi_Diff) correlated with SPDEF activity and favourable patient prognosis, and an invasive programme (Epi_pEMT) potentially controlled by TEAD4-mediated ECM remodelling, exhibiting partial EMT markers (VIM, TGFB1). Compartment-specific crosstalk analysis revealed Epi_pEMT cells may coordinate with mCAF1 fibroblasts and TAM(SPP1) through COL1A1-CD44 and SPP1-CD44 signalling, suggesting potential formation of a pro-invasive niche. Conversely, Epi_Diff cells may interact with NK/T cells through CEACAM5-CD8A and CCL5-ACKR2, and may contribute to inhibit immune infiltration. Multi-compartment correlation analysis revealed three ecosystem-level patterns: (1) Inverse association between Epi_Diff and Epi_pEMT (Spearman R = -0.43); (2) Negative correlation between mCAF1 abundance and cCAF frequency (R = -0.48); (3) TAM(SPP1) dominance inversely correlating with both TAM(C1Q) (R = -0.43) and NK/T infiltration (R = -0.36). These axes suggest a potential hierarchical ecology framework where lineage-specific polarisation and inter-compartment synergies may collectively govern disease progression.

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Publication Details

Journal
Journal of Cellular and Molecular Medicine
Published
2025-05-01
DOI
https://doi.org/10.1111/jcmm.70575
Citations
3
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
2.42

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article

Single‐Cell Profiling Reveals Conserved Differentiation and Partial EMT Programs Orchestrating Ecosystem‐Level Antagonisms in Head and Neck Cancer

Yuanyuan Deng, Yong Tang, Wu Xiaoguang, Zhiqiang Wang et al.
3 citations
Journal of Cellular and Molecular Medicine
Single-cell and spatial transcriptomics
2.42
article

Single‐Cell Profiling Reveals Conserved Differentiation and Partial EMT Programs Orchestrating Ecosystem‐Level Antagonisms in Head and Neck Cancer

Yuanyuan Deng, Yong Tang, Wu Xiaoguang, Zhiqiang Wang, Li He, Xi Yang, Xiaoguang He, Donghui Jiang
article en
3 citations

Abstract

Head and neck squamous cell carcinoma (HNSC) exhibits profound intratumoral heterogeneity, driven by dynamic interactions between malignant cells and the tumour microenvironment (TME). Using consensus non-negative matrix factorisation (cNMF) on multi-site HNSC single-cell transcriptomes, we resolving conserved meta-programs define cellular ecosystems. Six major epithelial programmes emerged, including a differentiation-associated programme (Epi_Diff) correlated with SPDEF activity and favourable patient prognosis, and an invasive programme (Epi_pEMT) potentially controlled by TEAD4-mediated ECM remodelling, exhibiting partial EMT markers (VIM, TGFB1). Compartment-specific crosstalk analysis revealed Epi_pEMT cells may coordinate with mCAF1 fibroblasts and TAM(SPP1) through COL1A1-CD44 and SPP1-CD44 signalling, suggesting potential formation of a pro-invasive niche. Conversely, Epi_Diff cells may interact with NK/T cells through CEACAM5-CD8A and CCL5-ACKR2, and may contribute to inhibit immune infiltration. Multi-compartment correlation analysis revealed three ecosystem-level patterns: (1) Inverse association between Epi_Diff and Epi_pEMT (Spearman R = -0.43); (2) Negative correlation between mCAF1 abundance and cCAF frequency (R = -0.48); (3) TAM(SPP1) dominance inversely correlating with both TAM(C1Q) (R = -0.43) and NK/T infiltration (R = -0.36). These axes suggest a potential hierarchical ecology framework where lineage-specific polarisation and inter-compartment synergies may collectively govern disease progression.

Journal of Cellular and Molecular MedicineVol. 29(9)
Kunming Medical University (CN), First Affiliated Hospital of Kunming Medical University (CN)
Kunming Medical University, Universidade de Macau, Yunnan Provincial Science and Technology Department
Life in Land
Openalex Percentile: Top 12%
Single-cell and spatial transcriptomics
2.42
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