July 7, 2008 - 3:30 p.m. Graeme Wake
Centre for Mathematics in Industry, Massey University
@ Auckland,
New Zealand
Modelling of cancer
treatment Improved treatment
of cancer is one of the most important challenges
for medical science. Tailoring treatment for individual
patients has long been an objective for oncologists.
While many biological techniques and mathematical
models have been devised to predict the course of
treatment, none have applied routinely to clinical
oncology. Our model, which describes the complexities
of the responses of tumor cells over time to both
anticancer drugs and radiation, has considerable
impact on our ability to advance individualization
of cancer therapy. This process is in advanced stages
of implementation.
Over the last few years,
we have developed sophisticated mathematical equations
describing the behavior of cancer cells as they
progress through the cell division cycle. Which
stage in the cycle the cells are actually in, can
be differentiated by their DNA content and this
enables model outcomes to be compared directly to
experimental results. These equations describe the
response of human tumors to chemotherapy and radiotherapy.
Firstly we incorporate programmed cell death (apoptosis)
into the model. We then consider perturbations of
model parameters by treatment and compare model
results with data.
This research will provide significant new analytical
and computational insights into the area of non-local
equations, where cause and effect are separated
in space and time, as well as underpinning support
to oncologists concerned with treatment, drug companies
producing drugs and management of clinics. This
work is in conjunction with Britta Basse and Bruce
Baguley (Auckland School of Medicine), Ronald Begg
and Bruce van-Brunt (Massey University), and David
Wall (Canterbury University).
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