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Public release date: 14-Jun-2013[ | E-mail |
Share ] Contact: Paddy Moore
padmoore@ohri.ca
613-737-8899 x73687
Ottawa Hospital Research Institute
OttawaJune 14, 2013Here's a good reason to pay attention in math class. Nature Communications has published a paper from Ottawa researchers today, outlining how advanced mathematical modelling can be used in the fight against cancer. The technique predicts how different treatments and genetic modifications might allow cancer-killing, oncolytic viruses to overcome the natural defences that cancer cells use to stave off viral infection.
"Oncolytic viruses are special in that they specifically target cancer cells," explains Dr. Bell, a senior scientist at the Ottawa Hospital Research Institute and professor at the University of Ottawa's Faculty of Medicine. "Unfortunately, cancer is a very complicated and diverse disease, and some viruses work well in some circumstances and not well in others. As a result, there has been a lot of effort in trying to modify the viruses to make them safe, so they don't target healthy tissue and yet are more efficient in eliminating cancer cells."
Dr. Bell and co-author Dr. Mads Kaern, an assistant professor in the University of Ottawa's Faculty of Medicine and Canada Research Chair at the University's Ottawa Institute of Systems Biology, led a team that has used mathematical modelling to devise strategies for making cancer cells exquisitely sensitive to virus infection killing them without affecting normal, healthy cells.
"By using these mathematical models to predict how viral modifications would actually impact cancer cells and normal cells, we are able to accelerate the pace of research," says Dr. Kaern, who is also cross-appointed to the University's Department of Physics. "It allows us to quickly identify the most promising approaches to be tested in the lab, something that is usually done through expensive and time-consuming trial and error."
Drs. Bell and Kaern have established a mathematical model that described an infection cycle, including the way a virus replicated, spread and 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."
###
The full article, "Model-based Rational Design of an Oncolytic Virus with Improved Therapeutic Potential," was published June 14, 2013, in Nature Communications. The article's authors are: Fabrice Le Buf, Cory Batenchuk, Markus Vh-Koskela, Sophie Breton, Dominic Roy, Chantal Lemay, Julie Cox, Hesham Abdelbary, Theresa Falls, Girija Waghray, Harold Atkins, David Stojdl, Jean-Simon Diallo, Mads Kaern and John Bell.
This research was supported by the Hecht Foundation/Canadian Cancer Society, Canadian Institutes of Health Research, Terry Fox Foundation, Ontario Institute for Cancer Research, Cancer Research Society and National Science and Engineering Research Council.
For more information:
Paddy Moore
Manager, Communications and Public Relations
Ottawa Hospital Research Institute
613-737-8899 x 73687
613-323-5680 (cell)
padmoore@ohri.ca
Kina Leclair
Media Relations Officer
University of Ottawa
613-562-5800 x 2529
613-762-2908 (cell)
kleclair@uOttawa.ca
About the Ottawa Hospital Research Institute (OHRI)
The Ottawa Hospital Research Institute (OHRI) is the research arm of The Ottawa Hospital and is an affiliated institute of the University of Ottawa, closely associated with the university's Faculties of Medicine and Health Sciences. OHRI includes more than 1,700 scientists, clinical investigators, graduate students, postdoctoral fellows and staff conducting research to improve the understanding, prevention, diagnosis and treatment of human disease. Research at OHRI is supported by The Ottawa Hospital Foundation. http://www.ohri.ca
Research Bringing You Tomorrow's Health Care Today
About the University of Ottawa Faculty of Medicine
The University of Ottawa's Faculty of Medicine is nationally recognized as a leader in medical research. Through their intense research activities, the Faculty of Medicine and affiliated research institute partners have contributed significantly to the following uOttawa milestones: second highest growth rate in overall Tri-Council Funding (all programs) since 2003; second in Canada by MacLean's magazine for medical science grants; and the third highest growth rate in Canadian Institutes of Health Research (CIHR) funding for universities with medical schools since 2003.
[ | E-mail | Share ] ?
AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert! system.
Public release date: 14-Jun-2013[ | E-mail |
Share ] Contact: Paddy Moore
padmoore@ohri.ca
613-737-8899 x73687
Ottawa Hospital Research Institute
OttawaJune 14, 2013Here's a good reason to pay attention in math class. Nature Communications has published a paper from Ottawa researchers today, outlining how advanced mathematical modelling can be used in the fight against cancer. The technique predicts how different treatments and genetic modifications might allow cancer-killing, oncolytic viruses to overcome the natural defences that cancer cells use to stave off viral infection.
"Oncolytic viruses are special in that they specifically target cancer cells," explains Dr. Bell, a senior scientist at the Ottawa Hospital Research Institute and professor at the University of Ottawa's Faculty of Medicine. "Unfortunately, cancer is a very complicated and diverse disease, and some viruses work well in some circumstances and not well in others. As a result, there has been a lot of effort in trying to modify the viruses to make them safe, so they don't target healthy tissue and yet are more efficient in eliminating cancer cells."
Dr. Bell and co-author Dr. Mads Kaern, an assistant professor in the University of Ottawa's Faculty of Medicine and Canada Research Chair at the University's Ottawa Institute of Systems Biology, led a team that has used mathematical modelling to devise strategies for making cancer cells exquisitely sensitive to virus infection killing them without affecting normal, healthy cells.
"By using these mathematical models to predict how viral modifications would actually impact cancer cells and normal cells, we are able to accelerate the pace of research," says Dr. Kaern, who is also cross-appointed to the University's Department of Physics. "It allows us to quickly identify the most promising approaches to be tested in the lab, something that is usually done through expensive and time-consuming trial and error."
Drs. Bell and Kaern have established a mathematical model that described an infection cycle, including the way a virus replicated, spread and 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."
###
The full article, "Model-based Rational Design of an Oncolytic Virus with Improved Therapeutic Potential," was published June 14, 2013, in Nature Communications. The article's authors are: Fabrice Le Buf, Cory Batenchuk, Markus Vh-Koskela, Sophie Breton, Dominic Roy, Chantal Lemay, Julie Cox, Hesham Abdelbary, Theresa Falls, Girija Waghray, Harold Atkins, David Stojdl, Jean-Simon Diallo, Mads Kaern and John Bell.
This research was supported by the Hecht Foundation/Canadian Cancer Society, Canadian Institutes of Health Research, Terry Fox Foundation, Ontario Institute for Cancer Research, Cancer Research Society and National Science and Engineering Research Council.
For more information:
Paddy Moore
Manager, Communications and Public Relations
Ottawa Hospital Research Institute
613-737-8899 x 73687
613-323-5680 (cell)
padmoore@ohri.ca
Kina Leclair
Media Relations Officer
University of Ottawa
613-562-5800 x 2529
613-762-2908 (cell)
kleclair@uOttawa.ca
About the Ottawa Hospital Research Institute (OHRI)
The Ottawa Hospital Research Institute (OHRI) is the research arm of The Ottawa Hospital and is an affiliated institute of the University of Ottawa, closely associated with the university's Faculties of Medicine and Health Sciences. OHRI includes more than 1,700 scientists, clinical investigators, graduate students, postdoctoral fellows and staff conducting research to improve the understanding, prevention, diagnosis and treatment of human disease. Research at OHRI is supported by The Ottawa Hospital Foundation. http://www.ohri.ca
Research Bringing You Tomorrow's Health Care Today
About the University of Ottawa Faculty of Medicine
The University of Ottawa's Faculty of Medicine is nationally recognized as a leader in medical research. Through their intense research activities, the Faculty of Medicine and affiliated research institute partners have contributed significantly to the following uOttawa milestones: second highest growth rate in overall Tri-Council Funding (all programs) since 2003; second in Canada by MacLean's magazine for medical science grants; and the third highest growth rate in Canadian Institutes of Health Research (CIHR) funding for universities with medical schools since 2003.
[ | E-mail | Share ] ?
AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert! system.
Source: http://www.eurekalert.org/pub_releases/2013-06/ohri-umt061113.php
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