1.Clinicopathology, prognosis and EG-1 mRNA in breast cancer
Minghua CONG ; Qi LIU ; Zhaohua YANG ; Jian ZHU ; Xingsong TIAN
Chinese Journal of General Surgery 2009;24(2):156-159
		                        		
		                        			
		                        			Objective To investigate the correlation between the expression of EG-1 in breast cancer and the clinicopathological factors and prognosis of breast cancer.Methods EG-1 mRNA expression in 72 malignant and 18 benign breast tissues were evaluated by RT-PCR method,and its correlation with clinical characteristics and prognosis were retrospectively analyzed.Results EG-1 expression level was higher in malignant tissue than in the corresponding benign breast tissue(71%vs.24%,P<0.05).EG-1 expression was significantly correlated with lymph node metastasis and protein VEGF (P<0.05)and was not significantly with age,menopause,tnmor size,grade,hormone status,protein Her2 and pS3.The metastastic rate and recurrence rate in EG-1 positive patients was higher than that in EG-1 negative patients.Multivariate Cox model showed that EG-1 positive was an independent factor affecting overall survival and disease free survival.Conclusions EG-1 expression was up-regulated in breast cancer and significantly correlated with lymph node metastasis and protein VEGF.
		                        		
		                        		
		                        		
		                        	
2.Expression of EG-1 in thyroid cancer and its correlation with clinical prognosis
Jian ZHU ; Xingsong TIAN ; Wenhong ZHOU ; Minghua CONG
Chinese Journal of Current Advances in General Surgery 1998;0(01):-
		                        		
		                        			
		                        			Objective:To study the expression of EG-1 in thyroid cancer tissue and analyze its correlation with clinical prognosis. Methods:EG-1 mRNA levels in malignant thyroid tissues were evaluated by RT-PCR. All patients were followed up. The survival rates were analyze in EG-1 positive group and EG-1 negative group. Benign thyroid tissues were used as control. Results:EG-1 was expressed in thyroid cancer. The differences between expression of malignant thyroid tissues and benign thyroid tissues were statistically significant (P
		                        		
		                        		
		                        		
		                        	
3.Biopsy of sentinel lymph nodes in breast cancer
Chinese Journal of General Surgery 1997;0(06):-
		                        		
		                        			
		                        			To summarize the operative technique and the clinical value of sentinel lymph node biopsy (SLNB) in breast cancer,a literature review was made on SLNB.  The conclusion is as follows:(1)As compared with  blue dye or radioactive tracer, combining the  two techniques can  increase the positive detection  rate and decrease the false-negative rate of  the sentinel lymph nodes .(2) Pathological examination by  serial sectioning, IHC or RT-PCR increases the detection rate of micrometastases, which is helpful for the accurate clinical staging of auxillary lymph nodes. (3)SLNB is a simple procedure with minimal morbidity and highly predictive value of the  status of auxillary lymph nodes.It has emerged as a potential substitute for the  routine auxillary lymph node dissection.
		                        		
		                        		
		                        		
		                        	
4.The relation between expression of p16,p53,CDK4/cyclinD1 and prognosis in breast cancer cells
Chinese Journal of General Surgery 1997;0(04):-
		                        		
		                        			
		                        			50 years showed no significat difference;there was significant difference of p53 expression between ER negative and ER positive groups,but p16,CDK4 and cyclin D expression showed no difference;p53 expression was ~significantly different in ER negative and PR positive groups,but the levels of the other proteins were not ~significantly different.(2)There were significant differences between the expression of p16 and p53(P
		                        		
		                        		
		                        		
		                        	
            
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