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UICC World Cancer Congress 2006

Bridging the Gap: Transforming Knowledge into Action

July 8-12, 2006, Washington, DC, USA



Sunday, 9 July 2006 - 12:00 PM
9-57

Incorporating Multiple Prognostic Factors in a Single System That Serves Oncology

Donald Henson, MD1, Dechang Chen, PhD2, Kai Xing3, and Xiuzhen Cheng, PhD3. (1) The George Washington University Cancer Institute, 2300 Eye Street, Washington DC, DC 20037, (2) Department of Preventive Medicine and Biometrics, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD 20814-4799, (3) Department of Computer Science, The George Washington University, 801 22nd St. NW, Suite 704, Washington, DC 20052

Objective: There is need for new and expanded TNM that can incorporate additional prognostic factors. Herein we demonstrate a top-down system that can add any number of new prognostic factors including molecular markers while preserving the TNM staging system.

Methods: Data were obtained from the SEER program. Survival models tested included semi parametric and non parametric methods. The hazard function was also incorporated. Density frequency plots of age at diagnosis were used to determine if patient populations were homogeneous.

Results: The Top-down system is based on the availability of large cancer patient datasets, eg SEER. The top-down approach starts with survival and evaluates the association of all potential prognostic factors individually and in various combinations with outcome. These combinations can create an expanded staging system. This system takes advantage of all prognostic factors and clinical variables collected, eg co-morbidity. Prognostic factors are evaluated not only by the relation to survival but also by the hazard function. The hazard function can for instance be used to identify time limited prognostic factors. As a paradigmatic change, treatment is considered as a prognostic factor, which may influence clinical trial designs. The single system would apply to all oncological specialties, since factors used by each specialty are available. The system will be demonstrated for lung and breast cancers.


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