Cancer Dependency Map now includes next-generation 3D cancer models
Peer-Reviewed Publication
Updates every hour. Last Updated: 3-Nov-2026 23:17 ET (4-Nov-2026 04:17 GMT/UTC)
DepMap scientists have generated dependency data on nearly 150 three-dimensional cancer cell models across 10 cancer types.
The updated catalog reveals cancer phenotypes, cell states, and gene dependencies that are missed in traditional cell lines and shows that both model types are complementary because each captures biology that the other misses.
The integration of data on 2D and 3D models creates a more comprehensive DepMap, moving the resource towards its goal of capturing the complete landscape of cancer vulnerabilities.
A research project funded by NIH has generated one of the most extensive and diverse collections of patient-derived tumor models. Tumor tissue from hundreds of cancer patients contributed to the compendium of tumor models that will enhance the study of tumor biology and be an asset in accelerating the development of cancer therapies while guiding future research directions.
A growing body of scientific insight is transforming how cancer treatment resistance is understood, highlighting a powerful cellular process known as lactylation as a central driver of disease progression and therapeutic failure. This emerging perspective is reshaping the landscape of oncology, pointing to new opportunities for more precise and effective interventions.