Identification of Most Aggressive Carcinoma Among Patients Diagnosed With Prostate Cancer Using Mathematical Modeling of Prostate-Specific Antigen Increases

A comprehensive regulatory and industry review of modeling and simulation practices in oncology clinical drug development

“…Identification of the most aggressive PCa cases among all patients diagnosed with PCa could help in the selection of the patients who might benefit from radical therapy. de Charry et al developed a semi-mechanistic model of PSA longitudinal growth to help differentiate aggressive and indolent PCa at diagnosis [ 133 ]. The individual preoperative PSA data from patients with PCa and those with benign prostatic hyperplasia were analyzed using a population kinetic approach and a semi-mechanistic nonlinear mixed-effects model [ 133 ].…”

“…de Charry et al developed a semi-mechanistic model of PSA longitudinal growth to help differentiate aggressive and indolent PCa at diagnosis [ 133 ]. The individual preoperative PSA data from patients with PCa and those with benign prostatic hyperplasia were analyzed using a population kinetic approach and a semi-mechanistic nonlinear mixed-effects model [ 133 ]. This analysis demonstrated a greater PSA increase rate by cancer cells than by non-cancer cells, while PSA production rate was greater by benign tissue than by malignant tissue.…”

Solitary solutions to an androgen‐deprivation prostate cancer treatment model

“…8 As Pca is the second most widespread type of cancer, 9 a great amount of attention has been devoted to modeling its evolution. A differential equation model is fit to observe sample in order to perform longitudinal analysis of prostate cancer tumor marker kinetics in de Charry et al 10 An approach combining mathematical modeling and numerical simulation is used to develop a predictive computational model for the analysis of prostate cancer in Farhat et al 11 A model that describes the interaction between the tumor environment, the PSA produced by hormone-dependent and hormone-independent tumor cells, and the level of androgens is developed in Draghi et al's study. 12 A model for the predictive simulation prostate of Pca is developed in Spyropoulos et al 13 A comparison between several models of intermittent androgen suppression treatment for prostate cancer is given in Hatano et al 14 Solitary solutions (or solitons) are waves that maintain their shape as they move at a constant velocity.…”