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Self-assembled primary tumor clusters for precision cancer therapy

Yin, S.; Xi, R.; Wu, A.; Ji, J.-F.; Xi, J.

2019-07-14 cancer biology
10.1101/700724 bioRxiv
Show abstract

Several patient-derived tumor models emerged recently as robust preclinical models. However, their potential to guide clinical therapy remained unclear. We report a novel model for personalized drug testing called patient-derived tumor-like cell clusters (PTC) that enabled us to accomplish personalized drug tests within 10-20 days. Mechanistically, PTCs result from the migration and aggregation of CD8+/CD44+ primary epithelial cells in a mixture of fibroblasts and macrophages, and form spheroid cultures. Phenotypic and genotypic profiling of PTCs showed a high degree of similarity with the original patient tumors, indicating that PTC structurally and functionally recapitulated original tumors. Over 200 PTC models have been established from at least six cancer types and diverse sampling approaches. Given its seamless integration with current clinical sampling approaches, the PTC platform will revolutionize chemotherapy programs for cancer patients.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.