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. 2013 Nov;123(11):4859-74.
doi: 10.1172/JCI65180.

Interferon-dependent IL-10 production by Tregs limits tumor Th17 inflammation

Interferon-dependent IL-10 production by Tregs limits tumor Th17 inflammation

C Andrew Stewart et al. J Clin Invest. 2013 Nov.

Abstract

The capacity of IL-10 and Tregs in the inflammatory tumor microenvironment to impair anticancer Th1 immunity makes them attractive targets for cancer immunotherapy. IL-10 and Tregs also suppress Th17 activity, which is associated with poor prognosis in several cancers. However, previous studies have overlooked their potential contribution to the regulation of pathogenic cancer-associated inflammation. In this study, we investigated the origin and function of IL-10–producing cells in the tumor microenvironment using transplantable tumor models in mice. The majority of tumor-associated IL-10 was produced by an activated Treg population. IL-10 production by Tregs was required to restrain Th17-type inflammation. Accumulation of activated IL-10+ Tregs in the tumor required type I IFN signaling but not inflammatory signaling pathways that depend on TLR adapter protein MyD88 or IL-12 family cytokines. IL-10 production limited Th17 cell numbers in both spleen and tumor. However, type I IFN was required to limit Th17 cells specifically in the tumor microenvironment, reflecting selective control of tumor-associated Tregs by type I IFN. Thus, the interplay of type I IFN, Tregs, and IL-10 is required to negatively regulate Th17 inflammation in the tumor microenvironment. Therapeutic interference of this network could therefore have the undesirable consequence of promoting Th17 inflammation and cancer growth.

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Figures

Figure 1
Figure 1. Tumor Tregs are a predominant source of Il10.
(A and C) Expression of IL-10eGFP in leukocyte populations (A) and CD4+ T cells (C) from MC38 tumor grown in VERT-X mice (black line) or B6 WT (gray) mice. Statistics show percentage of cells in each quadrant for 1 representative experiment of 3 or more. (B) Definition of tumor CD4+ Tregs by intracellular staining of FoxP3 (black line) or isotype (gray) staining. Percentage of gated cells is shown. (D) Real-time quantitative PCR for Il10 on sorted cell populations from MC38 tumor, normalized to Hprt. Experiment is representative of 3. (E) Il10 expression in MC38 tumor from T cell–conditional Il10-knockout mice (Il10T cellΔ/Δ). RNA was extracted from unprocessed MC38 tumors from indicated strains of mice and real-time quantitative PCR performed for Il10. Relative expression of Il10 to Hprt is shown in a box-and-whiskers plot (ND, not detected). Data were combined from 2 independent experiments and statistical analysis performed by mixed-effects ANOVA (Tukey-Kramer). Mean ± SEM and n are also shown.
Figure 2
Figure 2. Expression of IL-10eGFP by CD4+CD25+ Tregs in tumor-associated tissue.
Expression of IL-10eGFP was analyzed in VERT-X mice with B16-F10 melanoma, Lewis lung carcinoma (LLC), or MC38 colon carcinoma in subcutaneous (A and B) or lung-associated (C) tissue by flow cytometry. Numbers indicate percentages of positive cells in the associated gate. FoxP3 (A) and IL-10eGFP (B) staining are indicated for subcutaneous tumor tissue, spleen, and tumor-draining (inguinal) lymph node. Results are representative of 2 experiments. (C) Lungs from mice with B16-F10 tumor nodules were dissected into tumor-associated and non–tumor-associated tissue, followed by processing, staining, and flow cytometry. Data show 1 tumor-bearing mouse of 2 analyzed (individually displaying 27% or 16% IL-10eGFP+ cells in the CD4+CD25+ Treg population of B16-F10 nodule-associated tissue).
Figure 3
Figure 3. Expression of Il17a and frequencies of IL-17–producing cells in MC38 tumor from T cell–conditional Il10-knockout mice.
(A) Tumor mass, leukocyte frequency, and FoxP3+ Treg frequencies are similar between WT and Il10–/– mice. (B) Frequencies of CD4+ and CD8+ T cells, and frequencies of IL-17, TNF, or IFN-γ–producing cells following PMA and ionomycin stimulation of MC38 tumor cells from T cell–conditional Il10-knockout mice (Il10T cellΔ/Δ), littermates (Il10fl/fl), Il10–/– mice, or WT mice. Cell frequencies as percentage of leukocytes and mean ± SEM are shown with statistics from 2-tailed Student’s t test with Welch’s correction. (C) Representative contour plot of tumor CD45+CD4+ T cells from FACS analysis used to identify IL-17A+ Th17 cells as quantitated in B. Percentages of gated cells are given. (D) Real-time quantitative PCR for Il17a on whole MC38 tumor tissue from indicated strains of mice. Box-and-whiskers plot is shown with mean ± SEM, n, and P values for mixed-effects ANOVA on combined data from 2 independent experiments (each showing significance).
Figure 4
Figure 4. Expression of IL-10 by Tregs is associated with a T cell activation signature.
(A) Heat map showing genes with significant differences in expression between IL-10eGFP+ and IL-10eGFP Tregs from MC38 tumor in VERT-X mice. Genes are ranked according to fold change between IL-10eGFP+ and IL-10eGFP Tregs and expression level indicated by color. Expression of genes by CD4+FoxP3EGFP+ Tregs from MC38 tumor and tumor-free spleen in FoxP3EGFP mice is shown for comparison. (B) nCounter analysis (Nanostring) of gene expression on independent flow-sorted samples of Tregs from MC38 tumor in VERT-X and FoxP3-EGFP mice. Each point derives from a pool of tumors in an independent experiment. Graphs show mean ± SEM with P values from 2-tailed Student’s t test with Welch’s correction except for Ccr6 (Mann-Whitney).
Figure 5
Figure 5. Ifnar1 and Stat1 are required for expression of IL-10 and Stat1.
(A) Strategy for identification of CD4+ T cell subsets. Plots show intracellular staining of CD4, FoxP3, and either IL-10, IL-17A, or IFN-γ on single-cell suspensions of MC38 tumors following stimulation with PMA and ionomycin. Percentages of gated cells are given. (B) Frequencies of IL-10+FoxP3+CD4+ T cells, FoxP3+CD4+ T cells, and CD4+ T cells in MC38 tumor are given as percentage of CD4+ T cells or percentage of leukocytes from Ifnar1–/–, Stat1–/–, and WT mice. Mean ± SEM and P values compared with WT are shown for 5 independent experiments combined. (C) Real-time quantitative PCR for Il10 on whole MC38 tumor from Ifnar1–/–, Stat1–/–, and WT mice, normalized to Ptprc (CD45). Box-and-whiskers plots with mean ± SEM, n, and P values compared with WT using combined data from 4 (Ifnar1–/–) or 1 (Stat1–/–) independent experiments.
Figure 6
Figure 6. Type I IFN signaling is required for tumor Treg activation.
(A) nCounter gene expression analysis of flow-sorted tumor Tregs from Ifnar1–/– or WT mice. Data points show tumor Tregs from pools of mice flow sorted in independent experiments. Data show mean ± SEM and P value. (B) Western analysis of STAT1 protein on whole spleen lysates of mice from indicated strains. Numbers above blot show STAT1 band intensities after normalization to β-actin. (C) Frequencies of Treg infiltrates in MC38 tumors from bone marrow chimeric mice and nonirradiated controls. Donor-to-host relationship (indicated with arrows) and cell frequencies are given with mean ± SEM. P values are given for indicated comparisons (by bar) of total Treg frequencies.
Figure 7
Figure 7. Ifnar1 and Il10 suppress Th17-associated gene expression by tumor CD4+ T cells.
CD4+CD25 T cells were sorted from MC38 tumor of indicated strain, and gene expression was analyzed by nCounter analysis. Each data point derives from an independent experiment using pools of mice. Mean ± SEM and P-values are shown for Student’s t test with Welch’s correction compared with WT cells.
Figure 8
Figure 8. Th17-associated gene expression is limited by Il10, Ifnar1, and Stat1 in the TME.
(A) Real-time quantitative PCR for Ptprc (CD45) normalized to Hprt from whole-tumor tissue from indicated strains. Data from 4 to 6 independent experiments (4, Il10–/–; 4, Ifnar1–/–; 1, Stat1–/–; 6, WT) were combined and analyzed by mixed-effects ANOVA on log-transformed data. (B) Day 13 tumor volume. Statistics show mean ± SEM and Student’s t test with Welch’s correction. (C) Real-time quantitative PCR on whole-tumor cDNA for indicated genes normalized to Ptprc. Data from 4 to 6 independent experiments (4, Il10–/–; 4, Ifnar1–/–; 1, Stat1–/–; 6, WT) were combined and analyzed by mixed-effects ANOVA on log-transformed data. Geometric mean ± 95% CI and P values for mixed-effects ANOVA (using Dunnett’s method) are given for comparison with WT.
Figure 9
Figure 9. Frequencies of CD4+ T cells, Th1, Th17, and Tregs in spleens from tumor-free Il10–/–, Ifnar1–/–, and WT mice.
Single-cell suspensions from spleens of indicated strains of tumor-free mice were stimulated with PMA and ionomycin, and frequencies of IFN-γ+FoxP3CD4+ Th1 cells, IL17A+FoxP3CD4+ Th17 cells, and IL-10+FoxP3+ Tregs were enumerated. Data are combined from 2 independent experiments. Frequencies are given as percentage of CD45+ leukocytes. Statistics show mean and P values for 2-tailed unpaired Student’s t test with Welch’s correction.

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