Interrelation of Cyclin D1, Cyclin E, and p27Kip1 Expression on Tissue Arrays of Breast Cancer.
- Author:
Se Hwan HAN
1
;
Kyeong Mee PARK
;
Byung Noe BAE
;
Suk Yong RYU
;
Ki Hwan KIM
;
Hong Joo KIM
;
Young Duck KIM
;
Hong Yong KIM
Author Information
1. Department of Surgery, Inje University Sanggye Paik Hospital, Seoul, Korea. shwhan@unitel.co.kr
- Publication Type:Original Article
- Keywords:
Breast neoplasm;
Cyclin D1;
Cyclin E;
Ki67;
p27Kip1;
Prognosis;
Tissue microarray
- MeSH:
Breast Neoplasms*;
Breast*;
Cell Cycle;
Cyclin D1*;
Cyclin E*;
Cyclins*;
Estrogens;
Prognosis
- From:Cancer Research and Treatment
2002;34(5):388-393
- CountryRepublic of Korea
- Language:English
-
Abstract:
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.
