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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 7

Integration of single-cell data sets from MF and benign dermatoses.

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Integration of single-cell data sets from MF and benign dermatoses.
(A) ...
(A) t-SNE plot showing fibroblast, keratinocyte, B cell, myeloid cell, and EC identifications resulting from reciprocal principal component analysis integration (see Figure 1, C and D, and Methods). Clusters belonging to each cell type are color coded (13). (B) t-SNE plot showing grouping in each MF sample (n = 7) compared with AD (n = 4) and PS (n = 4) skin samples for the cell types of interest. Cells from each subject are indicated by different colors. (C) Proportion of the cell types identified in A by individual MF, AD, or PS samples. Statistics by Student’s t test. (D) Top panel: Transcriptomes of AIF1+ myeloid cells revealing grouping in each MF sample compared with all AD/PS skin samples combined. Cells from each subject are indicated by different colors. Bottom panel: Dot plot shows examples of MF-specific gene expression. (E–G) t-SNE plots depicting the transcriptional profile of keratinocytes (E), fibroblasts (F), and ECs (G) from MF and AD/PS skin samples (top panels). Corresponding heatmaps (lower panels) depict average expression of select genes commonly expressed by all MF samples and highly significant (P < 0.05) examples of upregulated pathways activated by the indicated cell types from MF versus AD/PS samples; z scores are shown.

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