Predicting treatment-free remission in chronic myeloid leukemia patients using an integrated model of tumor-immune dynamics.

ABSTRACT: The interactions between tumor and the immune system are main factors in determining cancer treatment outcomes. In Chronic Myeloid Leukemia (CML), considerable evidence shows that the dynamics between residual leukemia and the patient's immune system can result in either sustained disease control, leading to treatment-free remission (TFR), or disease recurrence. The question remains how to integrate mechanistic and data-driven models to support prediction of treatment outcomes. Starting from classical ecological modeling concepts, which allow to explicitly account for immune interactions at the cellular level, we incorporate time-course data on natural killer (NK) cell number, function, and their tumor-induced suppression into our general model of CML treatment. We identify relevant time s

SUBMITTER: Fassoni AC 

PROVIDER: S-EPMC12533171 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature