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Targeting tumor-resident mast cells for effective anti-melanoma immune responses
Susanne Kaesler, Florian Wölbing, Wolfgang Eberhard Kempf, Yuliya Skabytska, Martin Köberle, Thomas Volz, Tobias Sinnberg, Teresa Amaral, Sigrid Möckel, Amir Yazdi, Gisela Metzler, Martin Schaller, Karin Hartmann, Benjamin Weide, Claus Garbe, Hans-Georg Rammensee, Martin Röcken, Tilo Biedermann
Susanne Kaesler, Florian Wölbing, Wolfgang Eberhard Kempf, Yuliya Skabytska, Martin Köberle, Thomas Volz, Tobias Sinnberg, Teresa Amaral, Sigrid Möckel, Amir Yazdi, Gisela Metzler, Martin Schaller, Karin Hartmann, Benjamin Weide, Claus Garbe, Hans-Georg Rammensee, Martin Röcken, Tilo Biedermann
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Research Article Immunology Oncology

Targeting tumor-resident mast cells for effective anti-melanoma immune responses

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Abstract

Immune checkpoint blockade has revolutionized cancer treatment. Patients developing immune mediated adverse events, such as colitis, appear to particularly benefit from immune checkpoint inhibition. Yet, the contributing mechanisms are largely unknown. We identified a systemic LPS signature in melanoma patients with colitis following anti–cytotoxic T lymphocyte–associated antigen 4 (anti–CTLA-4) checkpoint inhibitor treatment and hypothesized that intestinal microbiota–derived LPS contributes to therapeutic efficacy. Because activation of immune cells within the tumor microenvironment is considered most promising to effectively control cancer, we analyzed human and murine melanoma for known sentinels of LPS. We identified mast cells (MCs) accumulating in and around melanomas and showed that effective melanoma immune control was dependent on LPS-activated MCs recruiting tumor-infiltrating effector T cells by secretion of CXCL10. Importantly, CXCL10 was also upregulated in human melanomas with immune regression and in patients with colitis induced by anti–CTLA-4 antibody. Furthermore, we demonstrate that CXCL10 upregulation and an MC signature at the site of melanomas are biomarkers for better patient survival. These findings provide conclusive evidence for a “Trojan horse treatment strategy” in which the plasticity of cancer-resident immune cells, such as MCs, is used as a target to boost tumor immune defense.

Authors

Susanne Kaesler, Florian Wölbing, Wolfgang Eberhard Kempf, Yuliya Skabytska, Martin Köberle, Thomas Volz, Tobias Sinnberg, Teresa Amaral, Sigrid Möckel, Amir Yazdi, Gisela Metzler, Martin Schaller, Karin Hartmann, Benjamin Weide, Claus Garbe, Hans-Georg Rammensee, Martin Röcken, Tilo Biedermann

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Figure 6

Immune checkpoint inhibitor treatment and complementation with LPS orchestrate effective melanoma immune defense.

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Immune checkpoint inhibitor treatment and complementation with LPS orche...
(A) The protocol shown in Figure 2A was extended by additional application of α–CTLA-4 antibodies. Tumor volume in WT C57BL/6 mice over time (left) and as bars at the endpoint (right) (n = 20 per group). (B and C) Flow cytometry analysis of melanomas from WT C57BL/6 mice treated with α–CTLA-4 and/or LPS. (B) TILs determined as CD45+CD3+ cells, (C) activated CD4+ TCs (CD45+CD3+CD4+CD44+CD62L–, black bars), and CD8+ TCs (CD45+CD3+CD8+CD44+CD62L–, gray bars) (n = 3 per group). P values were calculated with 2-way ANOVA (A) or with 1-way ANOVA (B and C) followed by Tukey’s test. Means ± SEM are shown. (D) Changes in CXCL10 serum levels in patients with melanoma before (“pre α–CTLA-4”) and with ipilimumab-provoked enterocolitis (“post α–CTLA-4”). P value was calculated with Wilcoxon’s test; n = 8. The box plots depict the minimum and maximum values (whiskers), the upper and lower quartiles, and the median. The length of the box represents the interquartile range. (E) Representative example of human melanoma with areas of inflammation (first and second rows) merging into immune regression (second and fourth rows) stained with H&E (first column) and immunohistochemically (red dye) for tryptase identifying MCs (second column), CXCL10 (third column) and CD3+ marking TCs (fourth column). Fifth row shows healthy skin at the rim of the excision. Infiltrating lymphocytes are marked by red arrows; black arrows refer to melanoma cells. Scale bars: 100 μm (first, third, and fifth rows), 50 μm (second and fourth rows). (F) Kaplan-Meier analyses of TCGA data set of 454 melanoma patients with high (black curve) and low (red curve) CXCL10 levels based on the 50th percentile of gene expression showed significantly better patient survival in patients with high CXCL10 levels (P < 0.001). Statistical analysis was done with log-rank test using R software. *, #P < 0.05; **, ##P < 0.005; ###P < 0.0005; ‡‡‡‡P < 0.0001.

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