A study published in Nature Communications demonstrated that a mathematical model based on cellular dynamics in prostate cancer can have a highly predictive power in a retrospective data set from patients with biochemically recurrent prostate cancer undergoing intermittent androgen deprivation therapy (IADT).1
Particularly, researchers demonstrated that the model can use data from each treatment cycle to estimate intratumor subpopulations and accurately predict the outcomes in each subsequent cycle. Additionally, in patients who are predicted to fail therapy in the next cycle the model could help predict alternative treatments for which a response would be more likely.
“Fully harnessing the potential of intermittent prostate cancer therapy requires identifying ADT resistance mechanisms, predicting individual responses and determining potentially highly patient-specific,…
