Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Mar;1(3):302-314.
doi: 10.1038/s43018-020-0038-2. Epub 2020 Mar 9.

Bystander IFN-γ activity promotes widespread and sustained cytokine signaling altering the tumor microenvironment

Affiliations

Bystander IFN-γ activity promotes widespread and sustained cytokine signaling altering the tumor microenvironment

Ronan Thibaut et al. Nat Cancer. 2020 Mar.

Abstract

The cytokine IFN-γ produced by tumor-reactive T cells is a key effector molecule with pleiotropic effects during anti-tumor immune responses. While IFN-γ production is targeted at the immunological synapse, its spatiotemporal activity within the tumor remains elusive. Here, we report that while IFN-γ secretion requires local antigen recognition, IFN-γ diffuses extensively to alter the tumor microenvironment in distant areas. Using intravital imaging and a reporter for STAT1 translocation, we provide evidence that T cells mediate sustained IFN-γ signaling in remote tumor cells. Furthermore, tumor phenotypic alterations required several hours of exposure to IFN-γ, a feature that disfavored local IFN-γ activity over diffusion and bystander activity. Finally, single-cell RNA-seq data from melanoma patients also suggested bystander IFN-γ activity in human tumors. Thus, tumor-reactive T cells act collectively to create large cytokine fields that profoundly modify the tumor microenvironment.

PubMed Disclaimer

Conflict of interest statement

Competing interests statement The authors declare no competing interests.

Figures

Figure 1
Figure 1. T cell-derived IFN-γ induces phenotypic changes in the tumor micro-environment.
a-b IFN-γ induces phenotypic changes in tumor cells in vitro. Eμ-myc B lymphoma (a) or B16.F10 melanoma (b) cells were stimulated with indicated IFN-γ concentrations in vitro for 24h. H2-Kb (left), H2-Db (middle) and PD-L1 (right) surface expression was then analyzed by flow cytometry. Each dot represents the mean of 3 technical replicates. Representative of 2 (B16.F10) or 3 (Eμ-myc) independent experiments. c-g T cell-derived IFN-γ increases MHC class I and PD-L1 levels in tumor and tumor-infiltrating immune cells. c Experimental set-up. Rag2-/- mice were injected i.v with OVA-expressing Eμ-myc B lymphoma cells. On day 12-13, in vitro activated WT or IFN-γ -deficient OT-I CD8+ T cells were injected i.v. Two days later, the recipient bone marrow was harvested and analyzed by flow cytometry. d Intracellular IFN-γ staining was performed in the absence of in vitro restimulation. Dot plots showing IFN-γ production by intratumoral WT OT-I T cells but not IFN-γ -deficient OT-I T cells. Data are representative of n=6 mice per group. e Representative example of histograms showing H2-Kb surface expression on tumor cells isolated from the bone marrow of mice that were left untreated (filled grey) or injected with either WT OT-I T cells (line, blue) or IFN-γ -deficient OT-I T cells (line, red). Data are representative of two independent experiments with n=6 mice per group. f H2-Kb (left), H2-Db (middle) and PD-L1 (right) surface expression on tumor cells isolated from mice treated or not with the indicated OT-I T cell population, as assessed by flow cytometry. Each dot represents one mouse. Red lines indicate mean values. Data are representative of two independent experiments with n=6 mice per group. (** P< 0.01, two-tailed Mann Whitney U-test). g H2-Kb surface expression on NK cells (left), monocytes (middle) and neutrophils (right) isolated from mice treated or not with the indicated OT-I T cells, as assessed by flow cytometry. Red lines indicate mean values. Data are representative of two independent experiments with n=6 mice per group. (* P<0.05, ** P< 0.01, two-tailed Mann Whitney U-test). h Recipients with established Eμ-myc B cell lymphoma were treated with anti-CD19 CAR T cells and analyzed 2 days later. H2-Kb (left) and PD-L1 (right) surface expression on tumor cells isolated from mice left untreated or treated with WT or IFN-γ -deficient CAR T cells. Red lines indicate mean values. Data are representative of 2 independent experiments with n=3 mice per group. (****, P<0.0001, ANOVA, with Tukey's test for multiple comparisons).
Figure 2
Figure 2. Tumor antigen expression drives the selective accumulation and arrest of intratumoral T cells
a Experimental set-up. Rag2-/- mice were injected with a 1:1 mixture of OVA-expressing and non-expressing Eμ-myc B lymphoma cells, labeled with CFP and YFP, respectively. On day 12-13, mice were injected with activated GFP+ OT-I T cells. Two days later, intravital imaging of the bone marrow was performed. Scale bar: 50μm b-g CD8+ OT-I T cells specifically accumulate and arrest in antigen-expressing cellular patches of mosaic tumors. b Left. Representative image of OVA+ (blue) or OVA- (orange) tumor patches infiltrated with OT-I T cells (green). Scale bar: 50 μm. Right. Time lapse images (corresponding to the dashed squares) showing OT-I T cells (pointed by arrows) forming stable contacts with OVA+ Eμ-myc cells but not with OVA- Eμ-myc cells. Scale bar: 15 μm. Representative of two independent experiments with n=3 mice in each experiment. c Individual tracks of OT-I T cells located either in OVA+ tumor patches (blue) or OVA- tumor patches (orange). Numbers indicate distance in μm. d-f Graphs show mean speed (d), straightness (e) and arrest coefficient (f) of individual OT-I T cells located in OVA+ or OVA- tumor patches. Only tracks that were at least 5 min long were considered. g Maximal duration of interaction of individual OT-I T cells with OVA+ or OVA- Eμ-myc cells measured during 45 min long movies. Results in c-g are from 5 movies obtained in two independent experiments with 3 mice per experiment. In d-g, each dot represents one individual track (n=75 OT-I tracks in OVA+ tumor patches, n= 103 OT-I tracks in OVA- tumor patches). Red lines indicate mean values. (****, P<0.0001, two-tailed Mann Whitney U-test).
Figure 3
Figure 3. Extensive bystander IFN-γ activity in the tumor microenvironment
a-f Bystander activity of IFN-γ in the tumor microenvironment of B cell lymphomas. Rag2-/- mice were injected with either Eμ-myc alone or a 1:1 mixture of Eμ-myc and OVA-expressing Eμ-myc B lymphoma cells (labeled with different fluorescent proteins). On day 12-13, recipients were injected with OT-I T cells or left untreated. Two days later, the bone marrow of the mice was recovered and analyzed by flow cytometry. a Representative histograms of H2-Kb and PD-L1 surface expression on OVA-expressing (left) or non-expressing (right) Eμ-myc B lymphoma cells isolated from mice bearing mosaic tumors and injected with OT-I T cells (blue line) or left untreated (filled grey). Data are representative of 3 independent experiments with n=4 mice per group in each experiment. b-d H2-Kb, H2-Db and PD-L1 surface expression on tumor cells from mice injected with Eμ-myc cells only (black) or a 1:1 mixture of OVA-expressing (blue) and non-expressing (orange) Eμ-myc cells. Each dot represents one mouse. Black lines indicate mean values. Data are representative of 3 independent experiments with n=4 mice per group in each experiment. (* P<0.05, two-tailed Mann Whitney U-test). e Proposed models for IFN-γ diffusion in the tumor microenvironment. See text for details. f Representative histograms of surface expression of H2-Db and H2-Kb on OVA-expressing tumor cells isolated from mice either left untreated (filled grey) or injected with 2x106 (light blue line) or 20x106 (dark blue line) OT-I T cells. Data are representative of n=5 mice per group. g-i Bystander activity of IFN-γ in solid tumors. Rag2-/- mice were injected with a 1:1 mixture B16 and OVA-expressing B16 cells (labeled with different fluorescent proteins). After one week, recipients were injected with OT-I T cells or left untreated. Two days later, tumors were digested and analyzed by flow cytometry. H2-Kb, H2-Db and PD-L1 surface expression on tumor cells from mice injected with a mixture of OVA-expressing (blue) and non-expressing (orange) B16.F10 cells. Each dot represents one mouse. Black lines indicate mean values. Data are representative of 2 independent experiments with n=4 mice per group in each experiment. (* P<0.05, two-tailed Mann Whitney U-test).
Figure 4
Figure 4. T cells mediate widespread and sustained STAT1 activity in the tumor microenvironment.
a-b Male Eμ-myc B lymphoma cells were transduced to express a STAT1-GFP reporter and a nuclear mCherry protein. Measurement of STAT1 activity on Eμ-myc B cells cultured in the absence or presence of recombinant IFN-γ. a Images and graphs depict the quantification of STAT1-GFP (yellow) and nuclear mCherry (red) fluorescence intensity across the indicated lines for a representative cell prior to (upper panels) or after (lower panels) IFN-γ exposure. Scale bar, 5 μm. b Translocation score was computed automatically for cells prior to or after IFN-γ exposure. Each dot represents one cell (unstimulated n=106 cells, IFN-γ n=135 cells). (***, P<0.001, two-sided Tukey range test). Error bars indicate mean±SD. c-g Recipient female Rag2-/- mice were injected with H-Y+ Eμ-myc B lymphoma cells expressing the STAT1-GFP reporter and a nuclear mCherry protein. After 3 weeks, activated CD8+ T cells bearing the anti-H-Y MataHari TCR were injected i.v. Three days later, recipients were subjected to intravital imaging of the bone marrow. c-e Detection of nuclear STAT1-GFP in T cell-infiltrated tumors. c Representative two-photon images (scale bar: 20μm), highlighting three specific regions (insets, scale bar: 10μm) of the tumor in mice transferred or not with MataHari T cells. d Quantification of STAT1-GFP (yellow) and nuclear mCherry (red) fluorescence intensity across the indicated line for a representative tumor cell in mice left untreated (upper panels) or transferred with MataHari T cells (lower panels). Scale bar, 5 μm. e Translocation score was computed automatically from two-photon images obtained in mice left untreated (no T cells) or transferred with MataHari T cells. Each dot represents one tumor cell (no T cell n=92 cells, MataHari T cells n=115 cells). (***, P<0.001, two-sided Tukey range test). Error bars indicate mean±SD. f STAT1 translocation in tumor cells is largely independent of the distance to the nearest T cells. The translocation score is graphed for each tumor cell as a function of the calculated distance to the nearest T cell. Each dot represents one cell (n=115 cells; R represents Pearson's correlation coefficient, statistical significance was assessed using a Fisher test). g STAT1-GFP translocation is sustained in vivo. Representative time-lapse images showing the maintenance of STAT1-GFP translocation during the imaging period (scale bar: 5μm). Data shown in b-g are representative of two independent experiments with 3 mice per group in each experiment.
Figure 5
Figure 5. Sustained signaling is required to alter tumor cell phenotype.
a Experimental set-up. Eμ-myc B lymphoma cells were stimulated with 5 ng.mL-1 IFN-γ. At 1h or 6h, the stimulation was blocked by adding 50 μg.mL-1 anti-IFN-γ mAb. At 24h, cells were recovered for mRNA sequencing. b Heatmap of differentially expressed genes. Gene expression is normalized by row. c Venn diagrams of differentially expressed genes between the various stimulated and control samples. d-e Tumor cells were stimulated with 5 ng.mL-1 IFN-γ. At 1h or 6h, the stimulation was blocked by adding 50 μg.mL-1 anti-IFN-γ mAb. At 24h, cells were recovered and analyzed by flow cytometry. Graphs represent H2-Kb (left), H2-Db (middle) and PD-L1 (right) surface expression after indicated durations of stimulation on Eμ-myc (d) and B16.F10 (e) models. Each dot represents the mean of 3 technical replicates. Representative of 3 independent experiments. f-g Normalized Enrichment Score of the ten most enriched motifs for the differentially expressed genes between 6h-stimulated (f) and 24h-stimulated (g) samples and control samples.
Figure 6
Figure 6. Assessing IFN-γ bystander activity in human melanoma samples
Measurement of IFNG signature in the tumor microenvironment of melanoma patients using single-cell RNA-seq. a Contribution of distinct cell clusters to IFNG production. Data are compiled from all patients analyzed (n=8). b Gene contribution to the IFNG signature in the monocyte/macrophage cluster. c Association between the percentage of IFNG+ cells among CD8+ cells and the IFNG score in monocytes/macrophages. (R represents Pearson's correlation coefficient, statistical significance was assessed using a Fisher test). d Distribution of IFNG signature in monocytes/macrophages from three different patients harboring distinct indicated frequencies of IFNG+ CD8+ T cells. e Gene contribution to the IFNG signature in the neutrophil cluster. f Association between the percentage of IFNG+ cells among CD8+ cells and the IFNG score in neutrophils. (R represents Pearson's correlation coefficient, statistical significance was assessed using a Fisher test). g Distribution of IFNG signature in neutrophils from three different patients harboring distinct indicated frequencies of IFNG+ CD8+ T cells.
None
None
None
None
None
None
None
None
None
None

Comment in

  • Carpet-bombing tumors with IFN-γ.
    Hu KH, Krummel MF. Hu KH, et al. Nat Cancer. 2020 Mar;1(3):270-272. doi: 10.1038/s43018-020-0042-6. Nat Cancer. 2020. PMID: 35122031 No abstract available.

References

    1. Kaplan DH, et al. Demonstration of an interferon gamma-dependent tumor surveillance system in immunocompetent mice. Proc Natl Acad Sci US A. 1998;95:7556–7561. - PMC - PubMed
    1. Street SE, Cretney E, Smyth MJ. Perforin and interferon-gamma activities independently control tumor initiation, growth, and metastasis. Blood. 2001;97:192–197. - PubMed
    1. Dunn GP, Koebel CM, Schreiber RD. Interferons, immunity and cancer immunoediting. Nat Rev Immunol. 2006;6:836–848. - PubMed
    1. Garris CS, et al. Successful Anti-PD-1 Cancer Immunotherapy Requires T Cell-Dendritic Cell Crosstalk Involving the Cytokines IFN-gamma and IL-12. Immunity. 2018;49:1148–1161 e1147. - PMC - PubMed
    1. Gao J, et al. Loss of IFN-gamma Pathway Genes in Tumor Cells as a Mechanism of Resistance to Anti-CTLA-4 Therapy. Cell. 2016;167:397–404 e399. - PMC - PubMed

Publication types