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Single-cell transcriptomics reveals multi-step adaptations to endocrine therapy

Authors :
Giacomo Corleone
Giancarlo Pruneri
Nicole Rotmensz
Andrea Rocca
Kirsten R. McEwen
Sara Bravaccini
Charles Coombes
Iros Barozzi
Thalia E. Chan
Sung Pil Hong
Ylenia Lombardo
Luca Magnani
Hong, Sung Pil
Chan, Thalia E
Lombardo, Ylenia
Corleone, Giacomo
Rotmensz, Nicole
Bravaccini, Sara
Rocca, Andrea
Pruneri, Giancarlo
Mcewen, Kirsten R
Coombes, R Charle
Barozzi, Iro
Magnani, Luca
Cancer Research UK
Source :
Nature Communications, Vol 10, Iss 1, Pp 1-14 (2019), Nature Communications
Publication Year :
2019
Publisher :
Nature Publishing Group, 2019.

Abstract

Resistant tumours are thought to arise from the action of Darwinian selection on genetically heterogenous cancer cell populations. However, simple clonal selection is inadequate to describe the late relapses often characterising luminal breast cancers treated with endocrine therapy (ET), suggesting a more complex interplay between genetic and non-genetic factors. Here, we dissect the contributions of clonal genetic diversity and transcriptional plasticity during the early and late phases of ET at single-cell resolution. Using single-cell RNA-sequencing and imaging we disentangle the transcriptional variability of plastic cells and define a rare subpopulation of pre-adapted (PA) cells which undergoes further transcriptomic reprogramming and copy number changes to acquire full resistance. We find evidence for sub-clonal expression of a PA signature in primary tumours and for dominant expression in clustered circulating tumour cells. We propose a multi-step model for ET resistance development and advocate the use of stage-specific biomarkers.<br />The development of resistance to endocrine therapy is a significant, clinical problem in breast cancer. Here, the authors identify a rare subpopulation of cells that drive resistance following transcriptional reprogramming.

Details

Language :
English
ISSN :
20411723
Volume :
10
Issue :
1
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....cd06216316ffa9b948132d37d4a25874
Full Text :
https://doi.org/10.1038/s41467-019-11721-9