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​​​​In vivo interaction screening reveals liver-derived constraints to metastasis [Single Cell Multiome ATAC + Gene Expression]

GSE267982 Mus musculus Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing 8 samples Submitted 2024/05/21 Platform GPL24247
Summary
It is estimated that only 0.02% of disseminated tumor cells are able to seed overt metastases1. While this suggests the presence of environmental constraints to metastatic seeding, the landscape of host factors controlling this process remains largely unknown. Combining transposon technology2 and fluorescent niche labeling3, we developed an in vivo CRISPR activation screen to systematically investigate the interactions between hepatocytes and metastatic cells. Our approach enabled the identification of Plexin B2 as a critical host-derived regulator of liver colonization in colorectal, pancreatic cancer and melanoma syngeneic mouse models. We dissect a mechanism by which Plexin B2 interacts with class IV semaphorins on tumor cells, leading to Klf4 upregulation and thereby promoting the acquisition of epithelial traits. Our findings highlight the essential role of signals from the liver parenchyma for the seeding of disseminated tumor cells, prior to the establishment of a growth promoting niche. They further suggest that epithelialization is required for the adaptation of CRC metastases to their new tissue environment. Blocking the Plexin B2-semaphorin axis abolishes metastatic colonization of the liver and thus represents a new therapeutic strategy for the prevention of hepatic metastases. Finally, our screening approach, which evaluates host-derived extrinsic signals rather than tumor-intrinsic factors for their ability to promote metastatic seeding, is broadly applicable and lays a framework for the screening of environmental constraints to metastasis in other organs and cancer types.
Published in
In vivo interaction screening reveals liver-derived constraints to metastasis
Borrelli C, Roberts M, Eletto D et al. · Nature 2024 · PMID 39048831 · doi:10.1038/s41586-024-07715-3
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Also filed as BioProject PRJNA1113988 and SRA study SRP508922. Searching any of these in the dataset finder brings you back here.

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