Using simulation modeling, this study analyzes “tumor cells aggression level” (TCAL) in mammary gland tumor-induced rat models by chemotherapy with docetaxel plus cyclophosphamide (TC) and doxorubicin plus cyclophosphamide (AC). The presented “simulation model for TC and AC” (SMTA) compares the efficacy of these drugs against TCAL by providing visual interaction of the drugs with tumor cells. It will help to decide the better drug combination for controlling TCAL. Mammary gland tumor was induced in 389 rat models using 2.5 mg N-methyl-N-nitrosourea in 0.2 mL normal saline. For four chemo cycles, 198 rats were treated with TC and 191 with AC. Using published and derived equations, rules were programmed for observing interactions among SMTA agents. Two-sample t-test, at α=0.05, was applied for statistical analysis of rat model results. For validation, paired t-test was used to compare SMTA, rat models, and published results. Analyzing rat models, there was a significant statistical difference between overall change in Hb level and WBC count affected by TC and AC. P-value=0.000<0.05, for both Hb level and WBC count, affected 3.98% and 5.13% respectively more by TC than AC. Providing SMTA with same drugs administration, given to rat models, 3.8% more tumor cells were controlled by AC than TC. Validating results from rat models and SMTA, there was no significant difference between means of overall trend in change of: (i) Hb level (p-value= 0.795>0.05), (ii) WBC count (p-value= 0.374>0.05). AC remained better than TC in controlling TCAL with a lesser effect on WBC count and Hb level.

To Cite This Article: Adeel M, Asif M, Faisal MN, Ahmad S and Majeed W, 2019. Computer simulation modeling for analyzing mammary gland tumor cells aggression level restricted by comparative chemotherapy using docetaxel and doxorubicin both with cyclophosphamide. Pak Vet J, 39(3): 416-422. http://dx.doi.org/10.29261/pakvetj/2019.084