A design of simulation model and Analysis Program to Identify the order of carcinogenesis process Associated with bladder cancer

Abstract

This study aimed to design simulation model to predict the order of events correlated with specific result. A total of 23 genetic mutations tested in l76 bladder cancer patients used as data of the real system. The simulation model was designed using the frequency of mutation assuming that the most frequent events are the first-happing ones. Correlation test was used to identify the order of the events. Application of designed model resulted in six pathways of which two were main pathways whereas the remaining were sub pathways. The first main pathway was long and characterized by 10 events whereas the second main pathway was short, contain only 2 events. To validate the simulation results the data compared with the biological and genetic models showing complete accordance between the 2 models.