A clinically annotated multi-omic organoid resource with matched tumour samples from 256 patients across 5 cancers maps gene dependencies, reveals subtype-specific vulnerabilities and uncovers treatment-driven changes, expanding mechanistic insight and models for precision oncology.

A clinically annotated multi-omic organoid resource with matched tumour samples from 256 patients across 5 cancers maps gene dependencies, reveals subtype-specific vulnerabilities…

The international collaboration of the Human Cancer Models Initiative presents a comprehensive resource of next-generation cancer models from 2,780 donors with 25 cancer types and…

Integration of genome-scale CRISPR screening data from traditional cell lines and next-generation cancer models expands the representation of tumour subtypes and genomic…