Decoding the associations between cell functional states in head and neck cancer based on single-cell transcriptome.

Area of Science:

• Oncology
• Cancer Biology
• Immunology

Background:

• Identifying cancer cell functional states and their interactions is vital for understanding cancer pathogenesis.
• Head and neck squamous cell carcinoma (HNSCC) presents complex cellular heterogeneity.

Purpose of the Study:

• To systematically identify and characterize cancer-related functional states in HNSCC.
• To define the association patterns between these states and their correlation with clinical outcomes.

Main Methods:

• Utilized single-cell RNA-sequencing (scRNA-seq) to identify six key cancer-related states in HNSCC.
• Analyzed association patterns between states, including epithelial-mesenchymal transition (EMT) and immune response.
• Integrated scRNA-seq data with four independent HNSCC cohorts and immune cell data.

Main Results:

• Six functional states were identified: EMT, immune response, epithelial differentiation, stress, G1/S, and G2/M phases.
• Association patterns between states varied, influencing immune response and EMT activity.
• A negative correlation between EMT and immune response, linked to an activated immune microenvironment, predicted longer survival.

Conclusions:

• The study provides insights into functional state associations in HNSCC.
• Observed correlations between state associations, immune microenvironment, and patient prognosis.
• Findings may aid in understanding cancer cell-immune system interactions during HNSCC progression.