Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 28474673.
- Also identified by DOI 10.1038/ncomms15081 and PMC identifier 5424158.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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.
Medical subject headings
- B-Lymphocytes
- Breast Neoplasms
- Carcinoma, Ductal, Breast
- Lymphocytes, Tumor-Infiltrating
- Macrophages
- T-Lymphocytes
- Triple Negative Breast Neoplasms