GEO DataSets

(Submitter supplied) Although metastasis remains the cause of most cancer-related mortality, mechanisms governing seeding in distal tissues are poorly understood. Here we establish a robust method for identification of global transcriptomic changes in rare metastatic cells during seeding using single-cell RNA-sequencing and patient-derived xenograft (PDX) models of breast cancer. We find that both primary tumours and micrometastases display transcriptional heterogeneity, but micrometastases harbor a distinct transcriptome program conserved across PDX models that is highly predictive of poor survival in patients. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

1707 Samples

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