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

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

Institutions

Publication Details

Journal
JCI Insight
Published
2025-03-06
DOI
https://doi.org/10.1172/jci.insight.183080
Citations
4
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
3.22
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Sabine Waigel, Julia H. Chariker, Eric Engelbrecht, Lewis C. Chew et al.
4 citations
JCI Insight
Single-cell and spatial transcriptomics
3.22
article

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

Sabine Waigel, Julia H. Chariker, Eric Engelbrecht, Lewis C. Chew, Kavitha Yaddanapudi, Eric C. Rouchka, Omar Sadi Sarkar, Corey T. Watson, Andrei Smolenkov, P. Harter, Jason Chesney, Kelly M. McMasters, Bryce F. Stamp
article en
4 citations

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.

JCI InsightVol. 10(7)
Howard Brown Health Center (US), University of Louisville (US), Bioinformatics Institute (RU), Society of Surgical Oncology (US), Molecular Oncology (United States) (US)
Zero hunger
Openalex Percentile: Top 9%
Single-cell and spatial transcriptomics
3.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.