Overview
- The OHSU team published the scSurvival study Tuesday in Cancer Discovery, introducing a way to forecast outcomes from data on individual tumor and immune cells.
- The model assigns each cell a weight based on how strongly it relates to survival and then averages the weighted cells to produce a patient risk score.
- With NIH support, researchers tested scSurvival on clinical data from more than 150 patients with melanoma or liver cancer and found it outperformed standard bulk methods.
- The approach traces predictions to specific cell states, including cell groups in melanoma linked to responses to immunotherapy.
- The software and tutorials are open-source on GitHub, Zenodo, and Code Ocean, and the authors say it needs broader validation before use in patient care.