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Using math to kill cancer cells
Date:6/14/2013

nd activated cellular defense mechanisms. From there, they used knowledge about key physiological differences between normal cells and cancer cells to identify how modifying the genome of the virus might counter the anti-viral defenses of cancer cells. Model simulations were remarkably accurate, with the identified viral modifications efficiently eradicating cancer in a mouse model of the disease.

"What is remarkable is how well we could actually predict the experimental outcome based on computational analysis," says Dr. Bell. "This work creates a useful framework for developing similar types of mathematical models in the fight against cancer."

The research, funded by an innovation grant from the Canadian Cancer Society, is only the beginning, explains Dr. Kaern. "We worked with a specific kind of cancer cell. We will now expand that to look at other cancer cell types and see to what degree the predictions we made in one special case can be generalized to others, and to identify strategies to target other types of cancer cells."

The findings may also help researchers better understand the interaction between these cancer cells and the virus. While one magic cure-all will likely never happen due to cancer's complexity, the researchers have developed a framework where they can learn more about the disease in the cases where the simulations don't match.

"From my perspective, that's the most interesting part," concluded Dr. Kaern. "The most fascinating thing is to challenge existing knowledge represented in a mathematical model and try to understand why these models sometimes fail. It's a very exciting opportunity to be a part of this, and I am glad that our efforts in training students in computational cell biology have resulted in such a significant advancement."


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Contact: Paddy Moore
padmoore@ohri.ca
613-737-8899 x73687
Ottawa Hospital Research Institute
Source:Eurekalert

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