Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer

Woosung Chung, Hye Hyeon Eum, Hae Ock Lee, Kyung Min Lee, Han Byoel Lee, Kyu Tae Kim, Han Suk Ryu, Sangmin Kim, Jeong Eon Lee, Yeon Hee Park, Zhengyan Kan, Wonshik Han, Woong Yang Park

Research output: Contribution to journalArticlepeer-review

721 Scopus citations

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.

Original languageEnglish
Article number15081
JournalNature Communications
Volume8
DOIs
StatePublished - 5 May 2017

Bibliographical note

Publisher Copyright:
© 2017 The Author(s).

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