New 3D organoid and spheroid models expand Cancer Dependency Map
Researchers added 147 CRISPR screens of organoids and CNS spheroids to the Cancer Dependency Map, improving coverage of tumor subtypes and revealing novel gene vulnerabilities.
A team performed 147 genome-scale CRISPR loss-of-function screens on next-generation cancer models, comprising 237 organoids and 77 central-nervous-system spheroids across ten tumor types. Integrated with existing data from over 1,300 traditional cell lines, the expanded Cancer Dependency Map now represents previously under-sampled genomic alterations and preserves tumor-specific transcriptional states. Analyses identified expression addictions, paralogue dependencies, and mutation-driven vulnerabilities, including a KRAS amplification-linked dependence on stearoyl-CoA desaturase and CDK6 reliance in CDKN2A-deleted glial glioblastoma.
The work also demonstrated that 3D growth format and serum-free versus serum-containing media selectively affect gene essentiality, especially for integrin, actin and cholesterol-biosynthesis pathways. These findings highlight the complementary value of organoid and spheroid models for precision-oncology research. The full dataset is publicly accessible via the DepMap portal.
Why it matters
The expanded map provides researchers with more accurate cancer models, helping to pinpoint new therapeutic targets.
In this story