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Single-cell transcriptomics of melanoma sentinel lymph nodes identifies immune cell signatures associated with metastasis
Eric Engelbrecht, Bryce F. Stamp, Lewis Chew, Omar Sadi Sarkar, Phillip Harter, Sabine J. Waigel, Eric C. Rouchka, Julia Chariker, Andrei Smolenkov, Jason Chesney, Kelly McMasters, Corey T. Watson, Kavitha Yaddanapudi
Eric Engelbrecht, Bryce F. Stamp, Lewis Chew, Omar Sadi Sarkar, Phillip Harter, Sabine J. Waigel, Eric C. Rouchka, Julia Chariker, Andrei Smolenkov, Jason Chesney, Kelly McMasters, Corey T. Watson, Kavitha Yaddanapudi
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Research Article Immunology Oncology

Single-cell transcriptomics of melanoma sentinel lymph nodes identifies immune cell signatures associated with metastasis

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Abstract

The sentinel lymph node (SLN) is the first lymph node encountered by a metastatic cancer cell and serves as a predictor of poor prognosis, as cases with clinically occult SLN metastases are classified as stage III with elevated rates of recurrence and diminished overall survival. However, the dynamics of immune infiltrates in SLNs remain poorly characterized. Here, using an unbiased cellular indexing of transcriptomes and epitopes by sequencing technique, we profiled 97,777 cells from SLN tissues obtained from patients with stages I/II and III cutaneous melanoma. We described the transcriptional programs of a multitude of T, B, and myeloid cell subtypes in SLNs. Based on the proportions of cell types, we determined that SLN subtypes stratified along a naive → activated axis; patients with a “high activated” signature score appeared to be undergoing a robust melanoma antigen–driven adaptive immune response and, thus, could be responsive to immunotherapy. Additionally, we identified transcriptomic signatures of SLN-infiltrating dendritic cell subsets that compromise antitumor immune responses. Our analyses provide valuable insights into tumor-driven immune changes in the SLN tissue, offering a powerful tool for the informed design of immune therapies for patients with high-risk melanoma.

Authors

Eric Engelbrecht, Bryce F. Stamp, Lewis Chew, Omar Sadi Sarkar, Phillip Harter, Sabine J. Waigel, Eric C. Rouchka, Julia Chariker, Andrei Smolenkov, Jason Chesney, Kelly McMasters, Corey T. Watson, Kavitha Yaddanapudi

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Figure 3

A dysfunctional CD4+ T cell cluster with features of migratory and cytotoxic activity is enriched in melanoma-bearing SLNs.

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A dysfunctional CD4+ T cell cluster with features of migratory and cytot...
(A) UMAP plot with CD4+ cells highlighted. (B) Heatmap of cell surface (left) and dot plot of RNA (right) expression for selected genes upregulated in CD4+ T cell clusters. (C) Box plot (median with interquartile range) showing the frequency of CD4+ T cell clusters among all T cells. (D) Bar plot of the number of genes upregulated (log2 fold-change > 0.4 and Padj < 5.0 × 10–7) in indicated clusters. (E) RNA expression dot plot of selected genes markedly upregulated in CD4_mem,act.1 cells. (F) Slingshot analysis of CD4+ T cell clusters (top) and RNA expression of indicated genes (bottom). Dashed ovals indicate a subpopulation of migratory/memory CD4+ T cells that express high levels of the cytolytic genes CCL5 and GZMA. (G) Heatmap showing expression of all transcripts that are differentially expressed (P value < 0.01 and |log2 fold-change| > 0.8) between stage I and stage III SLN samples in CD4_mem,mig cells. Red arrows in G indicate genes that are associated with CD4+ Th1 and Th17 differentiation and activation/exhaustion. Two-group comparisons done by 2-tailed Student’s t tests.

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ISSN 2379-3708

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