Fig. 8 | Scientific Reports

Fig. 8

From: Integrative bioinformatics and machine learning identify key crosstalk genes and immune interactions in head and neck cancer and Hodgkin lymphoma

Fig. 8

Bioinformatics analysis on scRNA-seq data in lymphoid tissues and HNSCC microenvironments. (a) UMAP clustering of cell types from lymphoid tissue and HNSCC samples. (b) A bar plot displaying the relative proportions of different cell types in lymphoid tissues and HNSCC. HNSCC samples are dominated by epithelial cells and MPs, whereas lymphoid tissues are primarily composed of lymphocytes. (c) Dot plot representing the expression levels of hub genes across various cell types, comparing lymphoid tissues (LYMPH) and HNSCC samples. Epithelial cells, fibroblasts, and MPs in HNSCC show elevated levels of these genes. (d–f) Spatial gene expression patterns for hub genes across cell types, with significant upregulation in macrophages and epithelial cells in HNSCC compared to lymphoid tissues. (g) Interaction networks between different cell types in lymphoid tissues (left) and HNSCC (right). Tumor tissues exhibit stronger, more complex interactions, particularly between epithelial cells, fibroblasts, and MPs, highlighting the enhanced cellular communication that supports tumor growth and metastasis.

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