Prognostic and predictive factors in lymph node negative breast cancer and establishment of mathematical model
- VernacularTitle:淋巴结阴性乳腺癌预后、预测因素及其数学模型的建立
- Author:
Fangming LI
;
Zhenzhou SHEN
;
Zhimin SHAO
- Publication Type:Journal Article
- Keywords:
breast cancer;
prognostic factor;
prediative factor;
mathematical model
- From:
China Oncology
1998;0(04):-
- CountryChina
- Language:Chinese
-
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.