Supplementary Figure S2 from Early Prediction of Disease Progression in Small Cell Lung Cancer: Toward Model-Based Personalized Medicine in Oncology

Schematic view of the biomarker model and differential equations used to describe the model. Briefly, DISEASE is a latent variable that represents disease progression and drives LDH and NSE production. RT (radiotherapy) and CT (chemotherapy) each affect disease level, where CT decreases its value and RT slows its linear growth. Resistance (REST) is modeled by linking cumulative exposure with a decrease in the drug effect. G-CSF (granulocyte colony-stimulating factor) increases the physiological LDH synthesis.