The study of prognostic indexes for primary invasive breast cance

Objective: The research for single prognostic factor in breast cancer has often produced conflicting. Therefore, prognostic index, which has been compiled by combining several parameters could assess prognosis more accurately. Methods: A total of 1 496 women with histological proven primary invasive breast cancer who had been treated with mastectomy and axillary lymph node dissection at Tianjin Cancer Hospital in Tianjin Medical University between 1989 and 1994 and had been selected for our studies had been followed up for 10 years. Their data were retrospectively reviewed. Set up overall survival prognostic index models and disease-free survival prognostic index models based on the groups of total patients. Univariate analysis(Cox model) and multivariate analysis (Cox model) were used to get prognostic indexes. Results: 1.The overall survival prognostic index model =0.4×age+0.51×skin+0.11×tumor size+0.06× number of node metastsis+0.34×histological type;The disease-free survival prognostic index model =0.54×age+0.57×skin+0.12×tumor size+0.06×number of node metastsis-0.49×histological type +0.45×extra capsular extension. 2.Rate of predictive coincidence of 10-year overall survival was 77.41% .Rate of predictive coincidence of 10-year disease-free survival was 73.99%. Conclusion: Prognostic index models based on the data from Tianjin Cancer Hospital in Tianjin Medical University were built in this study. They did well in assessing patient's prognosis with primary invasive breast cancer. They are useful to choose appropriate treatments.