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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 5

miR-155 expression is correlated with parameters associated with immunotherapy response.

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miR-155 expression is correlated with parameters associated with immunot...
(A) GSEA plot showing enrichment of IFN-γ–response gene signature in miR-155–high TCGA melanoma patients. Normalized enrichment score (NES) and adjusted P value are shown. (B) miR-155 expression is strongly correlated with an immune signature (IS) score (Ock et al.; ref. 32) that predicts immunotherapy response. (C) Histological assessment of 20 TCGA melanoma tumor samples with the highest and lowest miR-155 expression reveals a brisk lymphocyte infiltration in the miR-155-high subset. A (–) denotes tumor sections with no appreciable immune cell presence. A (+) indicates sections in which a non-brisk and localized lymphocyte infiltrate was observed. A (++) indicates sections with brisk and widespread lymphocyte infiltration were evident. Statistical comparison was performed by using χ2 test. ***P ≤ 0.001. (D) Representative H&E–stained tumor sections used for the quantification of lymphocyte infiltration in panel C. Five samples with the highest and 5 samples with the lowest miR-155 expression are shown. TCGA patient identifiers for these images are as follows (in descending order of miR-155 expression): TCGA-D9-A149-06A, TCGA-D3-A2JH-06A, TCGA-D3-A1QB-06A, TCGA-D3-A51F-06A, TCGA-D9-A6E9-06A, TCGA-EE-A3J8-06A, TCGA-YD-A89C-06A, TCGA-FS-A4F0-06A, TCGA-GN-A262-06A, and TCGA-WE-A8ZM-06A. Yellow arrowheads indicate lymphocyte infiltrates in the tumor. Images in D are from TCGA’s web interface (http://cancer.digitalslidearchive.net/).

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