2022
DOI: 10.1101/2022.07.13.499961
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The breast cancer pro-metastatic phenotype requires concomitant hyper-activation of ECM remodeling and dsRNA-IFN1 signaling in rare clone cells

Abstract: The molecular determinants of breast cancer (BC) pro-metastatic phenotype are largely unknown. Here, we leveraged lentiviral barcoding coupled to single-cell RNA sequencing to trace clonal and transcriptional evolution during BC metastatization. We showed that metastases derive from rare pro-metastatic clones that are under-represented in primary tumors. Both low clonal-fitness and high metastatic-potential are independent of clonal origin. Differential expression and classification analyses revealed that the … Show more

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“… 9 , 12 , 13 , 43 , 57 In metastasis, recent studies have integrated lineage tracing and computational algorithms in mouse models to quantitatively track properties of metastatic clones. 59 , 60 , 61 Similar to the findings reported in therapy resistance, pre-existing, heritable cell-intrinsic states predicted the metastatic potential of individual clones. 59 , 60 The clonal differences driving resistance and metastasis likely originate as a consequence of interplay between genetic alterations and non-genetic mechanisms, but the precise sequence of events remains to be elucidated.…”
Section: Clonality As a Cancer Cell-intrinsic Propertysupporting
confidence: 68%
“… 9 , 12 , 13 , 43 , 57 In metastasis, recent studies have integrated lineage tracing and computational algorithms in mouse models to quantitatively track properties of metastatic clones. 59 , 60 , 61 Similar to the findings reported in therapy resistance, pre-existing, heritable cell-intrinsic states predicted the metastatic potential of individual clones. 59 , 60 The clonal differences driving resistance and metastasis likely originate as a consequence of interplay between genetic alterations and non-genetic mechanisms, but the precise sequence of events remains to be elucidated.…”
Section: Clonality As a Cancer Cell-intrinsic Propertysupporting
confidence: 68%