Predicting Response to Immunotherapy
NCI-UMD Partnership members Eytan Ruppin and Noam Auslander (Ph.D. '18, computer science) devised a method of predicting treatment response in melanoma tumor samples. They created their predictor by analyzing the unique gene expression features of cancer patients who’d had a spontaneous immune response that caused their tumor to shrink. These features enabled the researchers to compute what they called an immuno-predictive score for each patient’s tumor sample. The higher the score for a sample, the more likely the patient’s tumor was to undergo spontaneous shrinkage.
The paper was published in the journal Nature Medicine.