Classical mathematical models for prediction of response to chemotherapy and immunotherapy.

ABSTRACT: Classical mathematical models of tumor growth have shaped our understanding of cancer and have broad practical implications for treatment scheduling and dosage. However, even the simplest textbook models have been barely validated in real world-data of human patients. In this study, we fitted a range of differential equation models to tumor volume measurements of patients undergoing chemotherapy or cancer immunotherapy for solid tumors. We used a large dataset of 1472 patients with three or more measurements per target lesion, of which 652 patients had six or more data points. We show that the early treatment response shows only moderate correlation with the final treatment response, demonstrating the need for nuanced models. We then perform a head-to-head comparison of six classical model

SUBMITTER: Ghaffari Laleh N 

PROVIDER: S-EPMC8903251 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature