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Single-cell RNA-sequencing reveals distinct patterns of cell state heterogeneity in mouse models of breast cancer

eLife, ISSN: 2050-084X, Vol: 9, Page: 1-24
2020
  • 42
    Citations
  • 0
    Usage
  • 113
    Captures
  • 3
    Mentions
  • 1
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    42
  • Captures
    113
  • Mentions
    3
    • News Mentions
      3
      • News
        3
  • Social Media
    1
    • Shares, Likes & Comments
      1
      • Facebook
        1

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Article Description

Breast cancer stem cells (BCSCs) contribute to intra-tumoral heterogeneity and therapeutic resistance. However, the binary concept of universal BCSCs co-existing with bulk tumor cells is over-simplified. Through single-cell RNA-sequencing, we found that Neu, PyMT and BRCA1-null mammary tumors each corresponded to a spectrum of minimally overlapping cell differentiation states without a universal BCSC population. Instead, our analyses revealed that these tumors contained distinct lineage-specific tumor propagating cells (TPCs) and this is reflective of the self-sustaining capabilities of lineage-specific stem/progenitor cells in the mammary epithelial hierarchy. By understanding the respective tumor hierarchies, we were able to identify CD14 as a TPC marker in the Neu tumor. Additionally, single-cell breast cancer subtype stratification revealed the co-existence of multiple breast cancer subtypes within tumors. Collectively, our findings emphasize the need to account for lineage-specific TPCs and the hierarchical composition within breast tumors, as these heterogenous sub-populations can have differential therapeutic susceptibilities.

Bibliographic Details

Yeo, Syn Kok; Zhu, Xiaoting; Okamoto, Takako; Hao, Mingang; Wang, Cailian; Lu, Peixin; Lu, Long Jason; Guan, Jun-Lin

eLife Sciences Publications, Ltd

Neuroscience; Biochemistry, Genetics and Molecular Biology; Immunology and Microbiology

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