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KMID : 0939920020340050388
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대한암학회지
2002 Volume.34 No. 5 p.388 ~ p.393
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Interrelation of Cyclin D1, Cyclin E, and p27Kip1 Expression on Tissue Arrays of Breast Cancer
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Se Hwan Han/Se Hwan Han
Kyeong Mee Park/Byung Noe Bae/Suk Yong Ryu/Ki Hwan Kim/Hong Joo Kim/Young Duck Kim/Hong Yong Kim
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Abstract
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PURPOSE: To evaluate the clinical impact of the altered expression of cell cycle regulators in stage I and II breast cancers.
MATERIALS AND METHODS: The interaction between cyclin D1/E and p27Kip1 expressions were analyzed using tissue microarray (TMA) technology in 133 breast cancers. Data from the immunohistochemical assays of 3 molecules were merged, and analyzed, with a Ki67 labeling index of the same tumors.
RESULTS: Cyclin D1 was expressed in 72 breast carcinomas (54.1%) and cyclin E in 60 (45.1%) out of the 133 breast carcinomas. Expressions of cyclin D1 and cyclin E were inversely related to each other, and significantly associated with the estrogen receptor (ER) expression and differentiation of the breast carcinoma. The expression of cyclin E was significantly decreased in tumors expressing cyclin D1 (p=0.022). There was a trend for cyclin D1 expression to increase in tumors expressing p27Kip1 (p=0.053), but the expression of cyclin E did not correlate with p27Kip1 expression. The Ki67 labeling index was markedly increased in tumors expressing cyclin E, whereas it was significantly decreased in the cyclin D1 or p27Kip1 expressing-tumors. From survival analysis, cyclin E expression was the only significant variable for the prediction of poor survival.
CONCLUSION: The abnormal expressions of cell cycle regulatory molecules are prevalent, and interrelated with each other in breast cancer. Integration of TMA technology allowed a high-throughput analysis for correlating molecular the in situ findings, with the clinico-pathologic information. Among the three molecules studied, the cyclin E had a prognostic implication for stage I and II breast cancer.
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KEYWORD
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Breast neoplasm, Cyclin D1, Cyclin E, Ki67, p27Kip1, Prognosis, Tissue microarray,
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