SYSTEMS AND METHODS FOR QUANTITATIVELY PREDICTING RESPONSE TO IMMUNE-BASED THERAPY IN CANCER PATIENTS

摘要

An example method for quantitatively predicting a cancer patient's response to immune-based or targeted therapy is described herein. The method can include receiving patient data for the cancer patient. The patient data is derived from a blood or tissue sample. The method can also include clustering a plurality of immune cell phenotypes present in the patient data, and generating a plurality of violin plots of signal intensity for at least one of the immune cell phenotypes. The clustered patient data can include a plurality of nodes, and each of the violin plots can capture a number of events. The method can further include statistically analyzing the violin plots to predict the cancer patient's response to immune-based or targeted therapy.