HIGHLIGHTS
SUMMARY
The authors converted the existing large PDX libraries into organoids (PDX-derived organoids, or PDXOs), thus creating a large cancer organoid biobank quickly and enabling HTS, as well as creating a unique, matched patient-derived disease libraries of in_vivo and in_vitro models. Statistical analysis of 30 data points indicated that in_vitro and in_vivo pharmacology characterizations were not independent, and that in_vitro response was predictive of the in_vivo outcome with overall ~86% accuracy (p=0.001134, Fisher`s exact test, Fig 3b), with positive predictions of 75% and negative prediction of 91%. The authors successfully . . .
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