Researchers Develop New Prediction Models for Colon Cancer

Researchers developed a novel scoring tools for predicting the actual risk of colon cancer and advanced precancerous polyps. The results were published in the European Journal of Cancer Prevention.

Researchers developed two tools; one is applicable to patients who have had limited endoscopy screening of a portion of the colon with sigmoidoscopy, while the other can be utilized to assess patients without any test involving visualization of the colon. The models are based on different scoring factors such as age, gender, smoking history, co-habitation history, nonsteroidal anti-inflammatory drug, and aspirin use, and moderate physical activity over the past year in average risk individuals. They operate by weighing the importance of each factor to discern an individual’s personalized risk for colorectal cancer.

“We need to more precisely measure risk of individuals and populations, so good, scientifically-based decisions about when and how to be screened for colorectal cancer can be made by patients, clinicians and public health officials,” said lead research Thomas F. Imperiale, M.D.,  Regenstrief Institute and U.S. Department of Veterans Affairs research scientist and Indiana University School of Medicine professor of medicine via a press release about the study. “Our composite, weighted scoring methods enable simple risk stratification to determine an individual’s risk, for example, of a precancerous polyp with certain ominous features or of colon cancer, both indicating a need for colonoscopy.”

“New scoring systems for predicting advanced proximal neoplasia in asymptomatic adults with or without knowing distal colorectal findings: a prospective, cross-sectional study” is published in the European Journal of Cancer Prevention. Authors, in addition to Dr. Imperiale, are Patrick Monahan, PhD and Timothy Stump, M.S., of IU School of Medicine; and David F. Ransohoff, M.D., of the University of North Carolina at Chapel Hill.