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.