Frontiers in Cancer Prevention Research, Baltimore, MD October 30-November 2, 2005 Reported by Ann Fonfa This meeting was the fourth time that researchers from all over the country and internationally have gathered to present on prevention issues. It is sponsored by the American Association for Cancer Research (AACR) As in prior years tobacco control was a dominant theme. Ann Fonfa raised the point that helping people get over their tobacco addition is too far downstream to really be meaningful. We need to start considering ways to make tobacco unavailable. She suggested cigarettes by prescription only. A bit facetious but it is well established that banning a substance tends to make it more desirable, particularly to the young. Guns, violence and cigarettes could become our next crisis. Alcohol (formerly illegal), and then (currently illegal) drugs have proven that. Ann also suggested that ALL soda machines be removed from ALL schools. At the recent workshop for Scientists<>Survivors held by AACR on speaker reported that drinking 30 sodas per year increased cancer risk. She also made the point that junk food is truly JUNK. This was the first year that the Annie Appleseed Project’s abstract was accepted for a poster session. Educational Sessions on October 30 included: Models for Cancer Risk Prediction: Problems and Prospects From the abstract by Andrew N. Freedman, National Cancer Inst – Applied Research Program, Bethesda, MD “Cancer researchers, clinicians and the general public are devoting increased attention to statistical models designed to predict the occurrence of cancer…An important part of developing a risk prediction model is to obtain accurate relative risk and attributable risk estimates for etiologic factors, such as demographics, reproductive history, smoking, dietary patterns, medications, genetic factors (e.g., family history and susceptibility genes), and clinical and biological markers (e.g., blood pressure, cholesterol, enzyme levels, and histologic markers). Estimates of relative and attributable risks for risk factors and how they may act jointly to affect risk is often difficult to obtain and may involve combining data from a number of different study designs, including cohort, case-control, family, and clinical studies; SEER data; cross-sectional population surveys and even expert opinion… Good calibration is important in all models, particularly in those used to estimate population disease burden and to plan population-level interventions. Future research priorities to advance the field of cancer risk prediction should include; revising existing breast cancer risk assessment models, and developing new models to improve predictive power, developing new types of risk models for other cancer sites, using new data and statistical techniques to develop more accurate risk models, supporting mechanisms and resources to validate risk models, and promoting effective cancer risk communication and decision making”. Animal Models: Mice and Beyond Clinical Trial Design Chemical Carcinogenesis: Integrating New Concepts Into Etiology Imaging: From Fundamental Studies to Applied Science UNDER CONSTRUCTION - 11/05 Frontiers in Cancer Prevention Research, 2005 Clinical Trial Design Chem Carcinogenesis: Integrating New Concepts Into Etiology Imaging: From Fundamental Studies to Applied Science Press Release, AACR November 2005 Remember we are NOT Doctors and have NO medical training. This site is like an Encylopedia - there are many pages, many links on many topics. Support our work with any size DONATION - see left side of any page - for how to donate. You can help raise awareness of CAM.