Breast cancer is the most common cancer and the second leading cause of death due to cancer in women after lung cancer.Breast cancer is a major public health problem all around the world. In cancer, patient's survival has been accepted as the main criteria for cancer control and measuring the treatment impact. There are different methods for survival estimation. Cox model is the most known statistical applied model for evaluating the relationship between survival time and other variables. In this historical cohort study, studied individuals in this group include breast cancer patients who their data exist in American Cancer registration system during the 1973to 2010. Totally 679967 patients were studied.The relationship between age, job, race, marital status and grade with the survival was evaluatedat the time of diagnosis and Cox model has been used for checking these variables with the individual survival. The variables including race, marital status, age in time of diagnosis, grade, and job were factors related to the patient's survival.(P<0.05) The initial training for timely detection of disease in first stages of disease increases the individuals` life length. Necessity ofexistingcancer registry system exists in Iran is inalienable.
