Cancer interception during treatment: using growth kinetics to create a continuous variable for assessing disease response.

ABSTRACT:

Background

We applied 11 mathematical models of tumor growth to clinical trial data available from public and private sources. We have previously described the remarkable capacity for a simple biexponential model to describe the kinetics of tumor growth, fit thousands of datasets, and correlate with overall survival. We sought to extend our analysis to additional tumor types and to evaluate whether alternate growth models could describe the time course of disease burden in the small subset of patients in whom the biexponential model failed.

Patients and methods

Data were available from 17 140 patients including imaging data for 3346 patients and serum levels of tumor markers for 13 794 patients. Data from patients were analyzed using the biexponential model to determine rate

SUBMITTER: Zhou M 

PROVIDER: S-EPMC12619987 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature