4.7 Article

Experimental and spontaneous metastasis assays can result in divergence in clonal architecture

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COMMUNICATIONS BIOLOGY
卷 6, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s42003-023-05167-5

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Static cell barcoding was used to compare spontaneous and experimental metastasis assays in breast cancer modelling. The results showed that the two assays led to different clonal outputs, highlighting the importance of considering experimental approaches. The study also revealed divergent clonal outputs and biases inherent to each technique.
Static cell barcoding shows spontaneous and experimental metastasis assays led to different clonal outputs, demonstrating the importance in considering experimental approaches for breast cancer modelling. Intratumoural heterogeneity is associated with poor outcomes in breast cancer. To understand how malignant clones survive and grow in metastatic niches, in vivo models using cell lines and patient-derived xenografts (PDX) have become the gold standard. Injections of cancer cells in orthotopic sites (spontaneous metastasis assays) or into the vasculature (experimental metastasis assays) have been used interchangeably to study the metastatic cascade from early events or post-intravasation, respectively. However, less is known about how these different routes of injection impact heterogeneity. Herein we directly compared the clonality of spontaneous and experimental metastatic assays using the human cell line MDA-MB-231 and a PDX model. Genetic barcoding was used to study the fitness of the subclones in primary and metastatic sites. Using spontaneous assays, we found that intraductal injections resulted in less diverse tumours compared to other routes of injections. Using experimental metastasis assays via tail vein injection of barcoded MDA-MB-231 cells, we also observed an asymmetry in metastatic heterogeneity between lung and liver that was not observed using spontaneous metastasis assays. These results demonstrate that these assays can result in divergent clonal outputs in terms of metastatic heterogeneity and provide a better understanding of the biases inherent to each technique.

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