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Increasing recognition of the need to include patient preference measures into research on cancer treatment and outcomes.1-4 Limited past research on patient preferences in cancer patients, particularly in quantitative studies. The CanCORS study includes several patient preference measures. 3 Background A better understanding of the link between preferences and demographic / socio-economic variables is necessary before including them as predictors of treatment choice and outcomes. { How much variation in preferences is already explained by demographic and socio-economic variables? Past research provides some evidence of a link between demographic/socio-economic factors and preferences. { Older patients favor quality of life over quantity of life.5 { High levels of fatalism in certain racial groups and low income elderly.6-9 4 Objectives & Research Questions To examine the relationship between fatalism/treatment preferences and socio-demographic factors in lung and colorectal cancer patients. { Do low income or low education patients have different preferences than high income or high education patients? { Do preferences differ by racial/ethnic group? { Do men have different preferences than women? 5 Data Source Data were from the CanCORS baseline patient survey. { Data collection was not complete at the time of data analysis so results are preliminary. Both colorectal and lung cancer patients were included. Three main preferences measures were used