Changes in serum tumor biomarkers may indicate treatment efficacy. Mathematical modeling is a promising tool for analyzing serum tumor marker declines. Indeed it allows calculation of the mathematical equations describing the longitudinal tumor biomarker time-changes (Almufti & You, et al. Annals of Oncology 25: 41–56, 2014). The model-based population kinetic approach is particularly relevant as it enables determination of individual kinetic profiles parameters based on a few timepoints, with limited impact of inter- and intra-individual variability of timepoints and assays.

We have used these approaches to assess the kinetic profiles of different serum tumor markers, such as prostate specific antigen (PSA), human chorionic gonadotrophin (hCG), alfa fetoprotein (AFP), CA-125, circulating tumor cells,…, during cancer treatments. In these studies, mathematical modeling of tumor marker individual kinetics was feasible. Moreover modeled kinetic parameters harboring strong reproducible predictive values regarding treatment efficacy were extracted (Almufti & You, et al. Annals of Oncology 25: 41–56, 2014). Based on a few timepoints analyzed with these models, it is easily possible for any clinician to calculate modeled kinetic parameters able to inform early on the risk of failure.

In the present site, 3 of these tools (Engines items above) are provided for clinicians/scientists:

The kinetic parameters are calculated for information purpose only. The authors of this site do not take any responsibility or endorse treatment decisions.