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The mycosis fungoides cutaneous microenvironment shapes dysfunctional cell trafficking, antitumor immunity, matrix interactions, and angiogenesis
Alyxzandria M. Gaydosik, Connor J. Stonesifer, Tracy Tabib, Robert Lafyatis, Larisa J. Geskin, Patrizia Fuschiotti
Alyxzandria M. Gaydosik, Connor J. Stonesifer, Tracy Tabib, Robert Lafyatis, Larisa J. Geskin, Patrizia Fuschiotti
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Research Article Dermatology Oncology

The mycosis fungoides cutaneous microenvironment shapes dysfunctional cell trafficking, antitumor immunity, matrix interactions, and angiogenesis

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Abstract

Malignant T lymphocyte proliferation in mycosis fungoides (MF) is largely restricted to the skin, implying that malignant cells are dependent on their specific cutaneous tumor microenvironment (TME), including interactions with non-malignant immune and stromal cells, cytokines, and other immunomodulatory factors. To explore these interactions, we performed a comprehensive transcriptome analysis of the TME in advanced-stage MF skin tumors by single-cell RNA sequencing. Our analysis identified cell-type compositions, cellular functions, and cell-to-cell interactions in the MF TME that were distinct from those from healthy skin and benign dermatoses. While patterns of gene expression were common among patient samples, high transcriptional diversity was also observed in immune and stromal cells, with dynamic interactions and crosstalk between these cells and malignant T lymphocytes. This heterogeneity mapped to processes such as cell trafficking, matrix interactions, angiogenesis, immune functions, and metabolism that affect cancer cell growth, migration, and invasion, as well as antitumor immunity. By comprehensively characterizing the transcriptomes of immune and stromal cells within the cutaneous microenvironment of individual MF tumors, we have identified patterns of dysfunction common to all tumors that represent a resource for identifying candidates with therapeutic potential as well as patient-specific heterogeneity that has important implications for personalized disease management.

Authors

Alyxzandria M. Gaydosik, Connor J. Stonesifer, Tracy Tabib, Robert Lafyatis, Larisa J. Geskin, Patrizia Fuschiotti

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Figure 5

Transcriptional profile of fibroblasts within individual MF tumors.

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Transcriptional profile of fibroblasts within individual MF tumors.
(A a...
(A and B) Transcriptomes of 9,533 COL1A1+ cells (8,748 from HC [n = 9] and 785 from MF [n = 7] samples) revealing grouping in each MF sample compared with all HC skin samples. Cells from each subject are indicated by different colors. (C) Dot plots showing the proportion of cells and the scaled average gene expression of signature genes (n = 5) from fibroblasts from individual tumors versus HC cells. (D) Average expression levels of marker genes for ECM proteins, matrix metalloproteinases, and cytokines/chemokines by fibroblasts across individual MF samples. (E) Heatmap shows average expression of genes (n = 165) commonly expressed by all MF samples. Each tumor was compared with the controls for significant differential expression (P value < 0.05, log fold change 0.1, minimum percentage 10%) to find common genes between tumors. Examples of commonly expressed genes are shown. (F) Heatmap depicts highly significant (P < 0.05) examples of upregulated pathways activated by fibroblasts from each MF sample; z scores are shown. (G) Multicolor immunofluorescence microscopy staining for αSMA and TNC in advanced MF (n = 7) and HC (n = 4) skin samples. Representative examples are shown (×1,000); inset zoomed ×2. DAPI stains nuclei.

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