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

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 c...

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Autores principales: Yeo, Syn Kok, Zhu, Xiaoting, Okamoto, Takako, Hao, Mingang, Wang, Cailian, Lu, Peixin, Lu, Long Jason, Guan, Jun-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447441/
https://www.ncbi.nlm.nih.gov/pubmed/32840210
http://dx.doi.org/10.7554/eLife.58810
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author Yeo, Syn Kok
Zhu, Xiaoting
Okamoto, Takako
Hao, Mingang
Wang, Cailian
Lu, Peixin
Lu, Long Jason
Guan, Jun-Lin
author_facet Yeo, Syn Kok
Zhu, Xiaoting
Okamoto, Takako
Hao, Mingang
Wang, Cailian
Lu, Peixin
Lu, Long Jason
Guan, Jun-Lin
author_sort Yeo, Syn Kok
collection PubMed
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.
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spelling pubmed-74474412020-08-27 Single-cell RNA-sequencing reveals distinct patterns of cell state heterogeneity in mouse models of breast cancer Yeo, Syn Kok Zhu, Xiaoting Okamoto, Takako Hao, Mingang Wang, Cailian Lu, Peixin Lu, Long Jason Guan, Jun-Lin eLife Cancer Biology 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. eLife Sciences Publications, Ltd 2020-08-25 /pmc/articles/PMC7447441/ /pubmed/32840210 http://dx.doi.org/10.7554/eLife.58810 Text en © 2020, Yeo et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Cancer Biology
Yeo, Syn Kok
Zhu, Xiaoting
Okamoto, Takako
Hao, Mingang
Wang, Cailian
Lu, Peixin
Lu, Long Jason
Guan, Jun-Lin
Single-cell RNA-sequencing reveals distinct patterns of cell state heterogeneity in mouse models of breast cancer
title Single-cell RNA-sequencing reveals distinct patterns of cell state heterogeneity in mouse models of breast cancer
title_full Single-cell RNA-sequencing reveals distinct patterns of cell state heterogeneity in mouse models of breast cancer
title_fullStr Single-cell RNA-sequencing reveals distinct patterns of cell state heterogeneity in mouse models of breast cancer
title_full_unstemmed Single-cell RNA-sequencing reveals distinct patterns of cell state heterogeneity in mouse models of breast cancer
title_short Single-cell RNA-sequencing reveals distinct patterns of cell state heterogeneity in mouse models of breast cancer
title_sort single-cell rna-sequencing reveals distinct patterns of cell state heterogeneity in mouse models of breast cancer
topic Cancer Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447441/
https://www.ncbi.nlm.nih.gov/pubmed/32840210
http://dx.doi.org/10.7554/eLife.58810
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