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Single-cell characterization of anti–LAG-3 and anti–PD-1 combination treatment in patients with melanoma
Jani Huuhtanen, … , Anna Kreutzman, Satu Mustjoki
Jani Huuhtanen, … , Anna Kreutzman, Satu Mustjoki
Published January 31, 2023
Citation Information: J Clin Invest. 2023;133(6):e164809. https://doi.org/10.1172/JCI164809.
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Clinical Research and Public Health Immunology Oncology

Single-cell characterization of anti–LAG-3 and anti–PD-1 combination treatment in patients with melanoma

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Abstract

Background Relatlimab plus nivolumab (anti–lymphocyte-activation gene 3 plus anti–programmed death 1 [anti–LAG-3+anti–PD-1]) has been approved by the FDA as a first-line therapy for stage III/IV melanoma, but its detailed effect on the immune system is unknown.Methods We evaluated blood samples from 40 immunotherapy-naive or prior immunotherapy–refractory patients with metastatic melanoma treated with anti–LAG-3+anti–PD-1 in a phase I trial using single-cell RNA and T cell receptor sequencing (scRNA+TCRαβ-Seq) combined with other multiomics profiling.Results The highest LAG3 expression was noted in NK cells, Tregs, and CD8+ T cells, and these cell populations underwent the most significant changes during the treatment. Adaptive NK cells were enriched in responders and underwent profound transcriptomic changes during the therapy, resulting in an active phenotype. LAG3+ Tregs expanded, but based on the transcriptome profile, became metabolically silent during the treatment. Last, higher baseline TCR clonality was observed in responding patients, and their expanding CD8+ T cell clones gained a more cytotoxic and NK-like phenotype.Conclusion Anti–LAG-3+anti–PD-1 therapy has profound effects on NK cells and Tregs in addition to CD8+ T cells.Trial registration ClinicalTrials.gov (NCT01968109)Funding Cancer Foundation Finland, Sigrid Juselius Foundation, Signe and Ane Gyllenberg Foundation, Relander Foundation, State funding for university-level health research in Finland, a Helsinki Institute of Life Sciences Fellow grant, Academy of Finland (grant numbers 314442, 311081, 335432, and 335436), and an investigator-initiated research grant from BMS.

Authors

Jani Huuhtanen, Henna Kasanen, Katriina Peltola, Tapio Lönnberg, Virpi Glumoff, Oscar Brück, Olli Dufva, Karita Peltonen, Johanna Vikkula, Emmi Jokinen, Mette Ilander, Moon Hee Lee, Siru Mäkelä, Marta Nyakas, Bin Li, Micaela Hernberg, Petri Bono, Harri Lähdesmäki, Anna Kreutzman, Satu Mustjoki

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Figure 2

LAG3 is expressed at high levels in Tregs and CMV-associated adaptive NK cells.

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LAG3 is expressed at high levels in Tregs and CMV-associated adaptive N...
(A) UMAP representation of CD45+-sorted cells in 18 scRNA+TCRαβ-Seq samples from 6 patients with melanoma before and after 4 weeks and 12 weeks of anti–LAG-3+anti–PD-1 treatment, profiled with scRNA+TCRαβ-Seq. (B) Scaled expression (expr) of selected differentially expressed markers (Padj < 0.05, Bonferroni-corrected t test) used to annotate clusters. The top row shows the log2 fold change (log2fc) of population abundances between patients with (CR/PR, n = 3) and without (PD, n = 3) a response at baseline. CM, central memory; Co-stim, costimulation; Co-inh, coinhibition; EM, effector memory; Mono, monocyte. (C) LAG3 expression at baseline as scaled, log2(× + 1) transformed values. The adjusted P value (Bonferroni-corrected t test) indicates the difference between adaptive NK cells and the other cell types. exh, exhausted. (D) scRNA-Seq population abundances between patients with (CR/PR, n = 3) and without (PD, n = 3) a response at baseline. P values were calculated with a Fisher’s 2-sided exact test, and significant values needed to have at least a |log2 fold change| >1. ***P < 0.001. (E) Proportion of CD56dimNKG2C+ adaptive NK cells among NK cells in IO-naive (CR/PR n = 7; SD/PD n = 4) and IO-refractory (CR/PR n = 3; SD/PD n = 26) groups at baseline. P values were calculated with the 2-sided Mann-Whitney U test. (F) Focused UMAP of NK cells, where the superimposed line corresponds to the predicted pseudotime maturation trajectory and scaled expression of markers used to identify the subpopulations. max, maximum; min, minimum. (G) UMAP representation of cells from 131 scRNA-Seq tumor biopsies or bone marrow aspirate samples from 10 different cancers profiled with 10× technology. Annotation was done with SingleR. (H) Proportion of LAG3+ cells across different cancers. P values were calculated with the Kruskal-Wallis test.

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