Coupled SDE-ODE Modeling of Tumor-Immune Dynamics to Infer Biomarker Release.

ABSTRACT: Tumor-immune interactions are central to cancer progression and treatment response, driving cell death through immune-mediated killing and resource-limited competition. In early-stage disease or following effective treatment, cancer populations are often small and difficult to observe directly. Disease monitoring therefore relies on the detection of biomarkers such as circulating tumor DNA (ctDNA) as noisy proxies to cancer size. However, existing approaches lack robust frameworks to infer tumor burden from these signals when populations approach detection thresholds. To address this, we present a coupled deterministic-stochastic framework that links tumor-immune dynamics to biomarker release. A two-prey, one-predator Lotka-Volterra model captures interactions between immune cells and comp

SUBMITTER: Shrestha P 

PROVIDER: S-EPMC12393326 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature