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Title   ¹æ±¤ ÀÌÇà»óÇǼ¼Æ÷¾Ï¿¡¼­ MIB1 ¹ßÇöÀ²ÀÇ ¿¹ÈÄ ÀÎÀڷμ­ÀÇ À¯¿ë¼º¿¡ °üÇÑ ¿¬±¸ ( Usefulness of MIB1 Expression as a Prognostic Factor in Transitional Cell Carcinoma of Urinary Bladder )
Publicationinfo   1995 Jan; 027(03): 459-468.
Key_word   Transitional cell carcinoma, MIB1, Flow cytometry, Image analysis
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Abstract   Tumor proliferation is inversely associated with survival in patients with transitional cell carcinoma of urinary bladder. Ki67 and MIB1 monoclonal antibodies directed against different epitopes of the same proliferation-related antigen. Whereas Ki67 works only on frozen section, MIBl may be used also on fixed sections. In order to determine whether MIB1 is clinically a useful proliferation marker as well as prognostic one or not, MIB1 expresaion, in. bladder cancers were compared with conventional prognostic parameters such: as Ash histolbgic grade, and proliferation index including S-phase fraction calculated by flow cytometry. The expression of MIBI was assessed immunohistochemically in 36 cases of transitional cell carcinoma with anti-MIBl monoclonal antibody which can recognize a formai'in resistent epitope of Ki67 in formalin-fixed, paraffin wax embedded sections after incubation fn a microwave oven. Then, image analysis was employed for quantitation of immunostained MIBl expression. MIBI expression rates were highly correlated with Ash histologic grade. And, two pa- rameters revealed a good correlatian in linear regression analysis(Y = 4.16X - 3.01). Also, prolife- ration index and S-phase fraction calculated by flow cytometry were highly correlated with MIB1 expression(r=0.92, r=0.87, respectively) Therefore, MIB1 immunostaining is considered as a useful prognostic marker in transitional cell carcinoma of urinary bladder and a reason- able substitute for the Ki67 monoclonal antibody. In addition, the advantages of MIB1 immunostaining on paraffin sections include the feasibility of retrospective studies and of obtaining clear morphologic specimens that are optimal for use with computer-assisted image analysis systems.
Àú ÀÚ   ±èÇÑ°â(Han Kyeum Kim),±è¿µ½Ä(Young Sik Kim),±èÀμ±(In Sun Kim)