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Predicting colon cancer in mice could eventually benefit humans

02/18/11
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VIDEO: MU Researchers Believe Discovery Could Displace Colonoscopies<> http://vimeo.com/20022552 from MU News Bureau< http://vimeo.com /user2631252" target="_blank">http://vimeo.com/user2631252 > on Vimeo.

COLUMBIA, Mo. Ð Nobody enjoys colonoscopies, including mice. University of Missouri< http://www.missouri.edu/ > researchers are excited about the potential of using genetic biomarkers to predict colon cancer caused by inflammation. A new method developed at the MU Research Animal Diagnostic Laboratory< http://www.radil.missouri.edu/ > (RADIL) could eventually lead to a method that might eliminate colonoscopies altogether. [ https://nbsubscribe.missouri.edu/wp - content/uploads/2011/02/ERICSSON_Aaron-0-89x135.jpg]

Aaron Ericsson, post-doctoral researcher at MU.

While working to develop novel therapeutics for colon cancer, Craig Franklin, associate professor of veterinary pathobiology in the MU College of Veterinary Medicine< http://vetmed.missouri.edu/ >; Aaron Ericsson, post-doctoral researcher at MU; Mike Lewis, assistant professor of veterinary medicine and surgery; Matt Myles, assistant professor of veterinary pathobiology and Lillian Maggio-Price, professor of comparative medicine at the University of Washington, found biomarkers in mouse feces that predicted inflammation- associated colon cancer. This is the same type of cancer associated with some common inflammatory bowel diseases such as ulcerative colitis and CrohnÕs Disease.

The team found that the bacterium that leads to inflammation- associated colon cancer in mice first results in inflammation that can be detected by screening feces for messenger RNA of genes. Franklin believes this discovery could lead to tests for similar genes that are present in humans with early inflammation associated colon cancer. The study was published recently in Neoplasia, which also featured the study on the journalÕs cover. [ https://nbsubscribe.missouri.edu/wp - content/uploads/2011/02/FRANKLIN_Craig-1-89x135.jpg]

Craig Franklin, associate professor of veterinary pathobiology in the MU College of Veterinary Medicine.

ÒThe assumption was that the gene expression couldnÕt be detected in fecal matter because RNA breaks down very rapidly. Historically, this was something that a lot of scientists, including us, hadnÕt considered,Ó Franklin said. ÒBut technology has evolved, and we now have the means of preserving RNA much better than we did 15 years ago.Ó

As a laboratory animal veterinarian, Franklin believes this discovery also could decrease the number of animals used in research.

ÒWeÕre excited about the potential for application in humans, but this also will decrease animal numbers, which is one of our goals,Ó Franklin said. ÒThis test determines which mice will get cancer in advance, so we wonÕt need to have as many animals in an experimental group to achieve statistical significance.Ó

ÒThereÕs also no stress on the animal for us to test their fecal matter,Ó Ericsson said. ÒMany people put off colonoscopies longer than they should because of the invasiveness and unpleasant nature of the exam, and itÕs not pleasant for mice either. That unpleasantness is negated with this test.Ó

For this study, the team also used a high-powered MRI machine located in the Department of Veterans Affairs facility located at the Harry S. Truman Memorial VeteransÕ Hospital. While effective, this technique was not as sensitive as the fecal biomarkers in predicting cancer, and it requires extensive expertise and very expensive equipment. Franklin credits the success of the project to a multidisciplinary team that included Wade Davis, assistant professor of biostatistics; Lixin Ma, assistant professor of radiology, and a multitude of veterinarians.

ÒIt was a large collaboration, and veterinarians are ideal for collaborative medicine because we know the animal model,Ó Franklin said. ÒThere are several angles that converge here, and weÕre now interested in finding collaborators in human medicine that would like to explore this further. Ultimately, IÕd envision panels of tests that predict diseases, with this method in the mix.Ó



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