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MicroRNA-155 coordinates the immunological landscape within murine melanoma and correlates with immunity in human cancers
H. Atakan Ekiz, Thomas B. Huffaker, Allie H. Grossmann, W. Zac Stephens, Matthew A. Williams, June L. Round, Ryan M. O’Connell
H. Atakan Ekiz, Thomas B. Huffaker, Allie H. Grossmann, W. Zac Stephens, Matthew A. Williams, June L. Round, Ryan M. O’Connell
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Research Article Immunology Oncology

MicroRNA-155 coordinates the immunological landscape within murine melanoma and correlates with immunity in human cancers

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Abstract

miR-155 has recently emerged as an important promoter of antitumor immunity through its functions in T lymphocytes. However, the impact of T cell–expressed miR-155 on immune cell dynamics in solid tumors remains unclear. In the present study, we used single-cell RNA sequencing to define the CD45+ immune cell populations at different time points within B16F10 murine melanoma tumors growing in either wild-type or miR-155 T cell conditional knockout (TCKO) mice. miR-155 was required for optimal T cell activation and reinforced the T cell response at the expense of infiltrating myeloid cells. Further, myeloid cells from tumors growing in TCKO mice were defined by an increase in wound healing genes and a decreased IFN-γ–response gene signature. Finally, we found that miR-155 expression predicted a favorable outcome in human melanoma patients and was associated with a strong immune signature. Moreover, gene expression analysis of The Cancer Genome Atlas (TCGA) data revealed that miR-155 expression also correlates with an immune-enriched subtype in 29 other human solid tumors. Together, our study provides an unprecedented analysis of the cell types and gene expression signatures of immune cells within experimental melanoma tumors and elucidates the role of miR-155 in coordinating antitumor immune responses in mammalian tumors.

Authors

H. Atakan Ekiz, Thomas B. Huffaker, Allie H. Grossmann, W. Zac Stephens, Matthew A. Williams, June L. Round, Ryan M. O’Connell

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Figure 2

T cell–intrinsic expression of miR-155 is necessary for optimal antitumor T cell activation.

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T cell–intrinsic expression of miR-155 is necessary for optimal antitumo...
(A) Proportions of cells expressing T cell and activation markers in the SCseq data set (4 mice pooled per group). (B) Flow cytometric analysis of the B16F10-OVA tumor-infiltrating immune cells on day 12 showing elevated levels of CD8+ T cells in tumors of WT mice, and higher levels of IFN-γ production by these cells. Two-tailed t test was used for statistical comparisons. *P ≤ 0.05; ns, P > 0.05. (C) Expression levels of T cell activation markers and effector genes within the CD3+CD8+ cells are shown. Sell, Pdcd1, and Tnfrsf9 encode CD62L, PD-1, and 4-1BB respectively. In these plots, each dot represents a single cell. Normalized expression values were used, and random noise was added to show the distribution of data points. The box plots show interquartile range and the median value (bold horizontal bar). Average expression value per sample is indicated by the red points. Wilcoxon’s test was used for statistical comparisons. *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001, ****P ≤ 0.0001; ns, P > 0.05. (D) Gene set enrichment analysis (GSEA) of CD3+CD8+ cells in SCseq data on day 12. Normalized enrichment score (NES) and adjusted P value are shown. WT CD8+ T cells were enriched for cell cycle genes and genes upregulated in effector CD8+ T cells (gene sets were derived from MSigDB) (33). (E) Analysis of activation markers within activated CD8+ T cell cluster (as defined in Figure 1) showing a more robust activation phenotype in WT T cells. (F) Analysis of the miR-155 target gene expression in activated CD8+ T cell clusters on day 9. The x axis of the stacked histograms indicates the normalized expression values of target genes and the y axis indicates the scaled frequency of cells. To account for differences in cell numbers per sample, the frequency of cells with no expression of the indicated genes was scaled to 1. Dashed lines indicate the average expression values in each group. (G) Analysis of miR-155 targets in activated CD8+ T cell clusters on day 12. Data were scaled similarly to panel F.

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