Back to Search
Start Over
Single-cell transcriptomics reveals multi-step adaptations to endocrine therapy
- 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.
- Subjects :
- 0301 basic medicine
Intravital Microscopy
Cell Plasticity
General Physics and Astronomy
02 engineering and technology
medicine.disease_cause
Transcriptome
Machine Learning
Breast cancer
Single-cell analysis
RARE
Computational models
HETEROGENEITY
Copy-number variation
Breast
RNA-Seq
lcsh:Science
Regulation of gene expression
Mutation
Multidisciplinary
021001 nanoscience & nanotechnology
Neoplastic Cells, Circulating
PATIENT-LEVEL METAANALYSIS
transcriptional plasticity
3. Good health
READ ALIGNMENT
Multidisciplinary Sciences
Gene Expression Regulation, Neoplastic
Cancer therapeutic resistance
Mechanisms of disease
MCF-7 Cells
Science & Technology - Other Topics
HIGHLIGHTS
Female
Single-Cell Analysis
0210 nano-technology
Reprogramming
REGULATORY NETWORK INFERENCE
Antineoplastic Agents, Hormonal
Science
Breast Neoplasms
Computational biology
Biology
General Biochemistry, Genetics and Molecular Biology
Article
03 medical and health sciences
breast cancer
Spheroids, Cellular
medicine
single-cell transcriptomic
BREAST-CANCER
Humans
adaptive resistance
Science & Technology
endocrine therapy
Estrogen Receptor alpha
General Chemistry
EVOLUTION
030104 developmental biology
Drug Resistance, Neoplasm
Cancer cell
RNA
lcsh:Q
RESISTANCE
Subjects
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