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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 1

Grouping of MF and HC skin populations.

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Grouping of MF and HC skin populations.
Transcriptomes of 51,468 cells (...
Transcriptomes of 51,468 cells (27,146 from HC [n = 9] and 24,322 from MF [n = 7] skin samples) were analyzed using Seurat (18, 19). (A) H&E staining of skin biopsies from representative healthy control skin (HC) and the 7 MF tumor samples analyzed by scRNA-Seq (top row at ×200, bottom zoomed 3 times). (B) Two-dimensional t-distributed stochastic neighbor embedding (t-SNE) shows dimensional reduction of reads from single cells, revealing grouping in each MF sample compared with all HC skin samples. Cells from each subject are indicated by different colors. All samples are combined. (C) Distinct gene expression signatures are represented by the clustering of known markers for multiple cell types and visualized using t-SNE (see Methods). Clusters belonging to each cell type are color coded (13). (D) Cell types in skin cell suspensions were identified by cell-specific markers as previously described (13); examples are shown. Intensity of purple color indicates the normalized level of gene expression. (E and F) Proportion of the major cell types identified in C and D by individual MF or HC samples (E) and in all MF or all HC samples combined (F). Statistics by unpaired 2-tailed Student’s t test (F).

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