Modeling Colorectal Cancer Progression Reveals Niche-Dependent Clonal Selection

Simple Summary Colorectal cancer (CRC) starts as a localized tumor and becomes a systemic disease with fatal consequences. However, clonal dynamics during progression are not well understood. Here, we present various techniques to model the different stages of CRC progression. Using genetically engineered mouse models (GEMMs) or organoid transplantation, localized tumors as well as liver metastases with characteristic intra-tumor heterogeneity were generated. The optical barcoding of transplanted organoids revealed niche-dependent clonal selection, implying that distinct niche factors control clonal outgrowth. Colorectal cancer (CRC) is among the deadliest cancers worldwide, with metastasis being the main cause of patient mortality. During CRC progression the complex tumor ecosystem changes in its composition at virtually every stage. However, clonal dynamics and associated niche-dependencies at these stages are unknown. Hence, it is of importance to utilize models that faithfully recapitulate human CRC to define its clonal dynamics. We used an optical barcoding approach in mouse-derived organoids (MDOs) that revealed niche-dependent clonal selection. Our findings highlight that clonal selection is controlled by a site-specific niche, which critically contributes to cancer heterogeneity and has implications for therapeutic intervention.

Automated summary

Colorectal cancer is one of the deadliest cancers globally, with metastasis being the main cause of patient mortality. The complex tumor ecosystem undergoes compositional changes at virtually every stage of CRC progression. However, clonal dynamics and associated niche-dependencies at these stages are currently unknown.