Faculty
Science
Supervisor Name
Eugene Wong
Keywords
Adaptive metabolism, Glucose, Oxygen, Lactate, Renal cell carcinoma, Numerical model, Simulation, Anti-angiogenesis treatment, Therapy resistance
Description
Renal cell carcinoma, a malignant kidney cancer, is often treated using anti-angiogenic drugs to prevent the growth of blood vessels within the tumour. Although tumours initially respond to this treatment, they eventually develop resistance. This resistance is hypothesized to be caused by a switch to a symbiotic metabolism that allows cells to survive even with a low blood supply.
This project seeks to computationally model the transport of oxygen, lactate, and glucose within a tumour in order to examine how cancer metabolism adapts to changes in blood vessels.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Document Type
Poster
Included in
Biological and Chemical Physics Commons, Cancer Biology Commons, Numerical Analysis and Scientific Computing Commons
Numerical Simulation of Adaptive Metabolic Response to Anti-angiogenic Treatment in Renal Cell Carcinoma
Renal cell carcinoma, a malignant kidney cancer, is often treated using anti-angiogenic drugs to prevent the growth of blood vessels within the tumour. Although tumours initially respond to this treatment, they eventually develop resistance. This resistance is hypothesized to be caused by a switch to a symbiotic metabolism that allows cells to survive even with a low blood supply.
This project seeks to computationally model the transport of oxygen, lactate, and glucose within a tumour in order to examine how cancer metabolism adapts to changes in blood vessels.