Biophysical Modeling Predicts Patient-Specific Chemotherapy Response

August 14, 2013 - Department of Pathology

The UNM Pathology and Cancer Center research team led by Vittorio Cristini, Ph.D., Elaine L. Bearer, M.D., Ph.D., Jennifer Pascal, Ph.D., and Zhihui Wang, Ph.D. developed an exact mathematical, physics-based formula to predict the response of patients to chemotherapy in two cancers, glioblastoma which is an incurable brain cancer and colorectal cancer with liver metastasis. The mathematical formula is based on the physical laws of diffusion, which are relevant to drug perfusion in malignant tumors. The formula utilizes clinically relevant measurement of blood volume flow and average blood vessel diameter, to predict cell killing in the tumor. This breakthrough bioengineering approach to cancer treatment is published in Proceedings of the National Academy of Sciences (PNAS) on August 12, 2013. Collaborators include Eugene J. Koay, M.D. and Steven A. Curley, M.D., both from the University of Texas MD Anderson Cancer Center. For more information, please visit the PNAS website

Jennifer Pascal, Elaine L. Bearer, Zhihui Wang, Eugene J. Koay, Steven A. Curley, and Vittorio Cristini. "Mechanistic patient-specific predictive correlation of tumor drug response with microenvironment and perfusion measurements". PNAS. August 12, 2013. epublished