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

Elife. 2020 Aug 25:9:e58810. doi: 10.7554/eLife.58810.

Abstract

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.

Keywords: breast cancer; cancer biology; cancer stem cells; genetics; genomics; heterogeneity; mouse; single-cell transcriptomics.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Animals
  • Breast Neoplasms / genetics
  • Breast Neoplasms / physiopathology*
  • Cell Lineage* / genetics
  • Disease Models, Animal
  • Female
  • Mammary Neoplasms, Experimental / genetics
  • Mammary Neoplasms, Experimental / physiopathology*
  • Mice
  • Neoplastic Stem Cells / physiology*
  • RNA-Seq
  • Single-Cell Analysis

Associated data

  • GEO/GEOGSE123366
  • GEO/GEOGSE106273