» Articles » PMID: 29961579

Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment

Abstract

Knowledge of immune cell phenotypes in the tumor microenvironment is essential for understanding mechanisms of cancer progression and immunotherapy response. We profiled 45,000 immune cells from eight breast carcinomas, as well as matched normal breast tissue, blood, and lymph nodes, using single-cell RNA-seq. We developed a preprocessing pipeline, SEQC, and a Bayesian clustering and normalization method, Biscuit, to address computational challenges inherent to single-cell data. Despite significant similarity between normal and tumor tissue-resident immune cells, we observed continuous phenotypic expansions specific to the tumor microenvironment. Analysis of paired single-cell RNA and T cell receptor (TCR) sequencing data from 27,000 additional T cells revealed the combinatorial impact of TCR utilization on phenotypic diversity. Our results support a model of continuous activation in T cells and do not comport with the macrophage polarization model in cancer. Our results have important implications for characterizing tumor-infiltrating immune cells.

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References
1.
Franklin R, Liao W, Sarkar A, Kim M, Bivona M, Liu K . The cellular and molecular origin of tumor-associated macrophages. Science. 2014; 344(6186):921-5. PMC: 4204732. DOI: 10.1126/science.1252510. View

2.
Engblom C, Pfirschke C, Pittet M . The role of myeloid cells in cancer therapies. Nat Rev Cancer. 2016; 16(7):447-62. DOI: 10.1038/nrc.2016.54. View

3.
Amir E, Davis K, Tadmor M, Simonds E, Levine J, Bendall S . viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia. Nat Biotechnol. 2013; 31(6):545-52. PMC: 4076922. DOI: 10.1038/nbt.2594. View

4.
Tanaka A, Sakaguchi S . Regulatory T cells in cancer immunotherapy. Cell Res. 2016; 27(1):109-118. PMC: 5223231. DOI: 10.1038/cr.2016.151. View

5.
Martinez F, Gordon S . The M1 and M2 paradigm of macrophage activation: time for reassessment. F1000Prime Rep. 2014; 6:13. PMC: 3944738. DOI: 10.12703/P6-13. View