Presentation Title

Seeking Optimal Oral Cancer Drug Combinations

Faculty Mentor

Jessica Jaynes

Start Date

17-11-2018 12:30 PM

End Date

17-11-2018 2:30 PM

Location

CREVELING 46

Session

POSTER 2

Type of Presentation

Poster

Subject Area

physical_mathematical_sciences

Abstract

The incidence of newly reported oral cancer cases is expected to increase at an alarming rate over the next two decades. Thus, great interest exists in finding the optimal or desired treatment outcome that potentially eradicates the cancer cells while disturbing as few of the body’s healthy cells as possible. Researchers have identified single-drug treatments that target this cancer; however, high dosages of such drugs are toxic to the body’s healthy cells. We examine the treatment outcome of 11 drugs previously identified through pilot studies to successfully reduce the malignant cells. We make use of 2- and 3-level factorial design methodology to improve efficiency while minimizing time and resources. A novel approach using Orthogonal Array Composite Designs aids on objectively testing for consistency across our designs. Analysis identified three drugs with significant treatment effects for cancer cells in the 2-level design; however, the results conflicted when looking at the treatment effect on healthy cells. Thus, we consider a 3-level design to gain a better understanding of the drug-drug interactions in hopes of finding the optimum drugs and dosage combinations.

Summary of research results to be presented

We will demonstrate the trends from the initial 2- and 3-level experiments are supported in the third and final orthogonal array composite design experiment. This method enabled us to reduce the number of drugs under consideration from 11 to 8 while identifying important interactions among drugs.

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Nov 17th, 12:30 PM Nov 17th, 2:30 PM

Seeking Optimal Oral Cancer Drug Combinations

CREVELING 46

The incidence of newly reported oral cancer cases is expected to increase at an alarming rate over the next two decades. Thus, great interest exists in finding the optimal or desired treatment outcome that potentially eradicates the cancer cells while disturbing as few of the body’s healthy cells as possible. Researchers have identified single-drug treatments that target this cancer; however, high dosages of such drugs are toxic to the body’s healthy cells. We examine the treatment outcome of 11 drugs previously identified through pilot studies to successfully reduce the malignant cells. We make use of 2- and 3-level factorial design methodology to improve efficiency while minimizing time and resources. A novel approach using Orthogonal Array Composite Designs aids on objectively testing for consistency across our designs. Analysis identified three drugs with significant treatment effects for cancer cells in the 2-level design; however, the results conflicted when looking at the treatment effect on healthy cells. Thus, we consider a 3-level design to gain a better understanding of the drug-drug interactions in hopes of finding the optimum drugs and dosage combinations.