Evidence map›Paper›PMID 42614551›Full record

ArticleFrontiers in immunology2026

Single-cell RNA sequencing reveals hypoxia-associated stress response signatures in the immune and stromal microenvironment of laryngeal squamous cell carcinoma.

Huihui Du, Yating Wang, Renyu Lin, Jiaqi Yu, Kuaiquan Zhu

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Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Huihui DuOtorhinolaryngology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, Zhejiang, China.
Yating WangDepartment of Otolaryngology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Renyu LinDepartment of Otolaryngology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jiaqi YuDepartment of Otolaryngology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Kuaiquan ZhuDepartment of Otolaryngology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Laryngeal squamous cell carcinoma (LSCC) remains a major clinical challenge with limited therapeutic options and unsatisfactory outcomes. Hypoxia-induced stress responses are known to contribute to tumor progression, immune remodeling, and therapeutic resistance. However, the cell type-specific hypoxia-associated transcriptional programs within the immune and stromal microenvironment of LSCC remain incompletely understood. Methods: We analyzed an immune-enriched LSCC single-cell RNA sequencing dataset (GSE150321, GSM4546858), generated by CD45-based magnetic bead sorting, to characterize hypoxia-associated stress response signatures across immune and stromal cell populations. The workflow included quality control, dimensionality reduction, unsupervised clustering, cell type annotation, pathway enrichment, hypoxia score assessment, robust rank aggregation, pseudotime trajectory inference, and cell-cell communication analysis. Representative hypoxia-associated genes were further validated experimentally in LSCC-related cell models. Results: Nine major cell populations were identified, including T cells, epithelial cells, B cells, macrophages, dendritic cells, cycling cells, fibroblasts, mast cells, and endothelial cells. Hypoxia-associated pathway activity was broadly enriched, with particularly strong activation in myeloid populations. Slingshot analysis using macrophages as the trajectory root revealed a monocyte-to-macrophage maturation trajectory, along which hypoxia scores were highest in macrophages and decreased toward lymphoid cells (Spearman R = -0.271, P = 1.78 × 10 Conclusions: This study characterizes hypoxia-associated transcriptional programs within the immune and stromal microenvironment of LSCC rather than providing a comprehensive malignant epithelial tumor atlas. The findings highlight myeloid-centered hypoxia adaptation as potential sources of biomarker candidates and therapeutic insight for LSCC. THP-1 monocytic cell validation provides functional support for myeloid-centered hypoxia adaptation.

Indexed as

Carcinoma, Squamous CellLaryngeal NeoplasmsSquamous Cell Carcinoma of Head and NeckStress, PhysiologicalTumor MicroenvironmentCell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansSequence Analysis, RNASingle-Cell AnalysisSingle-Cell Gene Expression AnalysisStromal CellsTranscriptomebiomarkersHIF-1 signalinghypoxiaimmune enrichmentlaryngeal squamous cell carcinomamyeloidsingle-cell RNA sequencingstress response

Identifiers

PMID42614551
PMCPMC13481874

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