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Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer
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Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer
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Journal Article
Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer
2017
Overview
Single-cell transcriptome profiling of tumour tissue isolates allows the characterization of heterogeneous tumour cells along with neighbouring stromal and immune cells. Here we adopt this powerful approach to breast cancer and analyse 515 cells from 11 patients. Inferred copy number variations from the single-cell RNA-seq data separate carcinoma cells from non-cancer cells. At a single-cell resolution, carcinoma cells display common signatures within the tumour as well as intratumoral heterogeneity regarding breast cancer subtype and crucial cancer-related pathways. Most of the non-cancer cells are immune cells, with three distinct clusters of T lymphocytes, B lymphocytes and macrophages. T lymphocytes and macrophages both display immunosuppressive characteristics: T cells with a regulatory or an exhausted phenotype and macrophages with an M2 phenotype. These results illustrate that the breast cancer transcriptome has a wide range of intratumoral heterogeneity, which is shaped by the tumour cells and immune cells in the surrounding microenvironment.
Genetic heterogeneity in breast cancer has been demonstrated at a single-cell resolution with high levels of genome coverage. Here, the authors perform transcriptome analysis of 515 single cells from 11 patients and define core gene expression signatures for subtype-specific single breast cancer cells and tumour-infiltrating immune cells.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 38/91
/ Breast Neoplasms - metabolism
/ Breast Neoplasms - pathology
/ Carcinoma, Ductal, Breast - genetics
/ Carcinoma, Ductal, Breast - metabolism
/ Carcinoma, Ductal, Breast - pathology
/ Cells
/ Female
/ Genomes
/ Humanities and Social Sciences
/ Humans
/ Kinases
/ Lymphocytes, Tumor-Infiltrating - metabolism
/ Medicine
/ Oncology
/ Receptor, ErbB-2 - metabolism
/ Receptors, Estrogen - metabolism
/ Receptors, Progesterone - metabolism
/ Science
/ Sequence Analysis, RNA - methods
/ Single-Cell Analysis - methods
/ Surgery
/ Triple Negative Breast Neoplasms - genetics
/ Triple Negative Breast Neoplasms - metabolism
/ Triple Negative Breast Neoplasms - pathology
/ Tumor Microenvironment - genetics
/ Tumor Microenvironment - immunology
/ Tumors
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