The aim of this study was to establish a mechanism model of targeted therapy for gastric cancer in order to study the response and resistance factors of cetuximab therapy.

In this study，cetuximab treatment of gastric cancer cell line model was established. The model captures the epidermal growth factor receptor（EGFR），extracellular regulatory protein kinase（ERK），and protein kinase B（AKT）signaling pathways in two gastric cancer cell lines with different mutation patterns. The MatLab toolbox and ImageJ software were used for statistical data and image processing，and a comprehensive selection of time and dose response measurements was used to train the model and provide an assessment of parameters and prediction uncertainties.

The model presented in this paper helps to identify causal differences between cell lines. The study shows that the model provides predictions of responses to different perturbations，such as strike and elimination experiments. Among other results，the model predicted the effect of tyrosine kinase receptor（MET）mutations on cetuximab sensitivity.

These predictive capabilities make the model a basis for evaluating gastric cancer cell line signaling and possibly developing and discovering predictive biomarkers.