4.7 Article

Single-cell transcriptomics reveal the heterogeneity and dynamic of cancer stem-like cells during breast tumor progression

期刊

CELL DEATH & DISEASE
卷 12, 期 11, 页码 -

出版社

SPRINGERNATURE
DOI: 10.1038/s41419-021-04261-y

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资金

  1. National Key Research and Development Program of China [2020YFA0112300, 2016YFA0101202, 2018YFA0507501]
  2. NSFC [81930075, 81772799, 81773155]
  3. Ten Thousand Plan - National High-Level Talents Special Support Plan [WR-YK5202101]
  4. Program for Outstanding Medical Academic Leader in Shanghai [2019LJ04]
  5. Program of Shanghai Academic/Technology Research Leader [20XD1400700]
  6. Shenzhen Science and Technology Innovation Commission Project, Shenzhen Municipal Government of China [KQTD20170810160226082]
  7. Fudan University Research Foundation [IDH1340042]
  8. Research Foundation of the Fudan University Shanghai Cancer Center [YJRC1603]

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The study constructed a single-cell atlas of tumor progression stages in a breast cancer mouse model, revealing the role of ERlow epithelial cell lineage in tumor initiation and the blockade of differentiation in ERhigh epithelial cell lineage. Furthermore, a stem-like cell cluster was identified within ERlow epithelial cells, showing heterogeneity. This study also highlighted the dynamics of immune cell infiltration and the potential cross-talk between BCSCs and immune cells during breast tumor progression.
Breast cancer stem-like cells (BCSCs) play vital roles in tumorigenesis and progression. However, the origin and dynamic changes of BCSCs are still to be elucidated. Using the breast cancer mouse model MMTV-PyMT, we constructed a single-cell atlas of 31,778 cells from four distinct stages of tumor progression (hyperplasia, adenoma/MIN, early carcinoma and late carcinoma), during which malignant transition occurs. We identified that the precise cell type of ERlow epithelial cell lineage gave rise to the tumors, and the differentiation of ERhigh epithelial cell lineage was blocked. Furthermore, we discovered a specific signature with a continuum of gene expression profiles along the tumor progression and significantly correlated with clinical outcomes, and we also found a stem-like cell cluster existed among ERlow epithelial cells. Further clustering on this stem-like cluster showed several sub-clusters indicating heterogeneity of stem-like epithelial cells. Moreover, we distinguished normal and cancer stem-like cells in this stem-like epithelial cell cluster and profiled the molecular portraits from normal stem-like cell to cancer stem-like cells during the malignant transition. Finally, we found the diverse immune cell infiltration displayed immunosuppressive characteristics along tumor progression. We also found the specific expression pattern of cytokines and their corresponding cytokine receptors in BCSCs and immune cells, suggesting the possible cross-talk between BCSCs and the immune cells. These data provide a useful resource for illuminating BCSC heterogeneity and the immune cell remodeling during breast tumor progression, and shed new light on transcriptomic dynamics during the progression at the single-cell level.

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