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Original Articles
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Comparison of Rb and p53 Protein Expression with Stage and Grade as a Prognostic Value in Renal Cell Carcinoma
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Hye Jeong Choi, Mi Jin Ko, Mi Jin Kim, Dong Sug Kim
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J Korean Cancer Assoc. 1999;31(5):979-985.
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Abstract
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- PURPOSE
This study was performed to evaluate prognostic significance of Rb and p53 protein immunostaining in renal cell carcinoma. We investigated correlations between Rb, p53 immunostaining and nuclear grade and stage as prognostic factors of renal cell carcinoma.
MATERIALS AND METHODS
Subjects of this study were sixty-nine cases of renal cell carcinoma. We used indirect immunohistochemical methods in the formalin-fixed paraffin- embedded tissue (Rb: Pharmingen, USA; p53: Novocastra, UK).
In staging and nuclear grading of the renal cell carcinoma, the American Joint Commitee on Cancer (AJCC) TNM system and Fuhrmans grading system were applied respectively.
RESULTS
According to Fuhrmans grading system, four cases were classified grade I, 15 cases were classified grade II, 13 cases were classified grade III, and 37 cases were classified grade IV. By AJCC TNM staging system, 29 cases were grouped stage I, 20 cases were grouped stage II, 15 cases were grouped stage III and five cases were grouped stage IV. In 55 cases (79% of all cases), Rb protein was expressed. Expression of Rb protein did not correlate with nuclear grade nor tumor stage. p53 protein was expressed in 17 cases (24% of all cases). p53 protein expression was frequently detected in high nuclear grade group (p < 0.05), but was not correlated with tumor stage.
CONCLUSION
Expression of Rb protein was not conelated with nuclear grade and stage. And expression of p53 protein was not correlated with stage, but it is correlated with nuclear grade. Thus immunohistochemical examinstion of p53 could be a histological prognostic factor.
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Correlation of Tumor Grade and other prognostic factors in Invasive Breast Carcinoma
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Young Bae Kim, Tae Sook Hwang, Joon Mee Kim, Young Chae Chu, Kyung Ja Cho, Ja June Jang
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J Korean Cancer Assoc. 1994;26(6):926-936.
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Abstract
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- The prognostic factors in breast cancer are tumor stage, type, grade, hormonal receptor, tumor proliferative fraction, oncogene, altered growth factor receptor and angiogenesis. Since the first systematic study on grading system of breast cancer was published by Greenhough in 1925, a number of grading systems including Bloom-Richardson's histologic method and Blacks nuclear method have been reported and used. These grading systems have been considered as a classic and important prognostic factor for long time. In spite of this fact, there is a growing tendency that pathologists and clinicians disagree with grading system due to different results for prognosis and lack of reproducibility. Although these earlier analyses indicated that Bloom-Richardsons grade is prognostically more significant than Blacks grade, subsequent analysis indicate the converse. To investigate and evaluate usefulness of Bloom-Richardson grade and Black's grade, we examined the correlation of two grading systems and other estabiished prognostic factors, (i.e, tumor size, status of estrogen receptor, c-erbB-2 oncoprotein, Ki-67 labelling index, axillary nodal metastasis and microvessel count), in 62 cases of infiltrative ductal carcinoma of the breast. 1) Bloom-Richardson's histologic grade had significant correlation in nuclear grade, status of estrogen receptor, and Ki 67 labelling index. Tumor size and c-erbB-2 oncoprotein were also correlated with histologic grade, but it was statistically insignificant. 2) Blacks nuclear grade had also significant correlation in histologic grade, status of estro- gen receptor, c-erbB-2 oncoprotein and Ki 67 labelling index. Tumor size and axillary node metastasis were correlated, but they were statistically insignificant. 3) Metastasis and angiogenesis were not correlated with tumor grade. We could not compare histologic grade with nuclear grade fundamentally, because we failed to pursue patient's survival rate. However tumor grade in breast carcinoma served as a mandatory factor to get insights for status of other established prognostic factors or further prediction of patient's prognosis.
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