
Scientists unveil more than 600 new tissue models of human cancer
On Aug. 5, 2026, an international team led by researchers at MIT’s Koch Institute, the Broad Institute, the Dana-Farber Cancer Institute, the National Cancer Institute, and numerous other partnering institutions has developed nearly 700 new cancer models, derived from patient tumors, which they hope will aid in drug development.
These cells, which represent 25 different types of cancer, are now available for cancer researchers around the world to use. The project is described in a new paper appearing today in Nature, with contributors from more than two dozen institutions.
The models are the result of a 10-year initiative, funded by the National Cancer Institute, to expand the number of patient-derived tissue models available. For most of these models, the researchers converted tumor cells into organoids — 3D cell cultures that can survive indefinitely and mimic the genetic and molecular features of the tumors that they originally came from. This type of model could help researchers identify new drug targets and test potential new treatments for many more types of cancer.
The Human Cancer Models Initiative was launched in 2016, following the completion of the Cancer Genome Atlas, an effort to catalog the genomic alterations responsible for cancer growth.
For the atlas project, researchers sequenced cancer cell samples from thousands of patients. That work revealed that the diversity of tumor genetic profiles was not fully captured by the roughly 1,000 patient-derived cancer cell lines that existed at the time.
All of the models developed as part of the HCMI were deposited at the American Type Culture Collection (ATCC), a nonprofit distributor of cell lines. Each model also has extensive data from the patient whose cells were used to start the cell line, including mutations that the patient inherited from their parents (germline mutations), and information on the cancer treatments they received.
Using these models, scientists should be able to perform much larger scale screens that could aid in drug development efforts.
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Source: Massachusetts Institute of Technology
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