Beyond RECIST: mathematical modeling and Bayesian inference reveal the importance of immune parameters in metastatic breast cancer.

ABSTRACT: Immunotherapies that target the host immune system to mount effective responses hold great promise. Yet, overcoming patient- and organ-specific tumor heterogeneities remains a significant challenge. In order to quantify individual patient responses, we fit a tumor-immune mathematical model to patient and site-specific dynamics during combination therapy (nivolumab + ipilimumab + entinostat) informed by RECIST measurements of the tumor dynamics and immune markers measured by spatial proteomics. Bayesian parameter inference of site-specific patient responses revealed that only the immunosuppression parameters were predictive of response; parameters controlling cytotoxicity were uninformative. Via comparison of a large cohort of fitted tumors, we quantified the variability in tumor-immune dyn

SUBMITTER: Kreger J 

PROVIDER: S-EPMC12363764 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature