Juan Villegas

Document Type

Honors Thesis


According to the American Cancer Society, colon cancer is the third leading cause of cancer-related deaths amongst men and women. A data-driven Quantitative and Systems Pharmacology model is used to provide treatment for each individual patient using gene expression data from primary tumor samples. Using uncertainty and sensitivity analysis, a prediction of the efficacy of a personal treatment could be obtained. A Latin hypercube sampling-partial rank correlation method, using a Normal distribution, was used to conduct the sensitivity analysis. It was found that the most sensitive parameter was the day-1 of cancer. This assists researchers to suggest an optimal treatment strategy for each colon cancer patient and predict the efficacy of the proposed treatment.

Publication Date






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