Prognostic and predictive factors in lymph node negative breast cancer and establishment of mathematical model / 中国癌症杂志

ABSTRACT

Purpose: Comprehensively assess the role of prognostic and predictive factors and set up a mathematical model to evaluate prognosis and to help the decision of adjuvant therapy. Methods: All prognostic indicator and therapeutic modalities have been performed, mutivariate survival analyses was done by Cox regression. The split-group method was used to construct the mathematical model for prognosis. Results: In multivariate analysis, the factors including age, tumor size, overexpression of Her-2, the interaction between ER status and endocrine therapy (ER ET), and chemotherapy can independently predict prognosis. Finally, the mathematical model acquired is PS = Size + Her2 -2. 5 x age - CT -0. 55 x ( ET x ER). Conclusions: According to PI of individuals, the different risks of failure can been distinguished.