Imperial College London

ProfessorLucaMagnani

Faculty of MedicineDepartment of Surgery & Cancer

Chair in Cancer Adaptation and Evolution
 
 
 
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Contact

 

+44 (0)20 7594 2808l.magnani CV

 
 
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Location

 

137ICTEM buildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hong:2018:10.1101/485136,
author = {Hong, SP and Chan, TE and Lombardo, Y and Corleone, G and Rotmensz, N and Pruneri, G and McEwen, KR and Coombes, RC and Barozzi, I and Magnani, L},
doi = {10.1101/485136},
title = {Single-cell Transcriptomics reveals multi-step adaptations to endocrine therapy},
url = {http://dx.doi.org/10.1101/485136},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - <jats:title>Abstract</jats:title><jats:p>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. Partially, this is due to our limited understanding on the effect of ET at the single cell level. In the present study, 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 sub-population of pre-adapted (PA) cells which undergoes further transcriptomic reprogramming and copy number changes to acquire full resistance. PA cells show reduced oestrogen receptor α activity but increased features of quiescence and migration. We find evidence for sub-clonal expression of this 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.</jats:p>
AU - Hong,SP
AU - Chan,TE
AU - Lombardo,Y
AU - Corleone,G
AU - Rotmensz,N
AU - Pruneri,G
AU - McEwen,KR
AU - Coombes,RC
AU - Barozzi,I
AU - Magnani,L
DO - 10.1101/485136
PY - 2018///
TI - Single-cell Transcriptomics reveals multi-step adaptations to endocrine therapy
UR - http://dx.doi.org/10.1101/485136
ER -