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Renal cell carcinoma. A clinicopathologic and dna flow cytometric analysis of 103 cases
Author(s) -
Grig David J.,
Ayala Alberto G.,
ElNaggar Adel,
Wishnow Kenneth I.,
Ro Jae Y.,
Swanson David A.,
McLemore Donia,
Giacco Geoffrey G.,
Guinee Vincent F.
Publication year - 1989
Publication title -
cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.052
H-Index - 304
eISSN - 1097-0142
pISSN - 0008-543X
DOI - 10.1002/1097-0142(19891115)64:10<2133::aid-cncr2820641027>3.0.co;2-8
Subject(s) - stage (stratigraphy) , renal cell carcinoma , medicine , flow cytometry , ploidy , pathology , nuclear dna , carcinoma , proportional hazards model , oncology , urology , biology , immunology , genetics , paleontology , gene , mitochondrial dna
Renal cell carcinoma is unpredictable in outcome, although the best predictor is tumor stage, followed by histologic grade. The authors retrospectively assessed the clinicopathologic features and DNA ploidy of 103 cases of renal cell carcinoma, the latter determined by flow cytometry of formalin‐fixed, paraffin‐embedded tissue. The study group comprised 63 men and 40 women (age, 28–80 years; mean, 57 years). Robson stage at diagnosis was Stage I in 52 patients, Stage II in 21, and Stage III in 30. Statistically significant variables in predicting outcome were Robson stage ( P < 0.0001), DNA ploidy ( P = 0.0008), mitotic rate (MR, P < 0.0001), worst nuclear grade (WNG, P = 0.0009), predominant nuclear grade ( P = 0.019), and sex ( P = 0.044). Tumor size, cell type, and architectural pattern were also assessed but did not prove to be significant. Statistically significant associations occurred between DNA ploidy and WNG ( P < 0.0001), stage ( P = 0.0037), and MR ( P = 0.015); between WNG and MR ( P < 0.0001) and stage ( P = 0.0007); and between stage and MR ( P = 0.002). Cox proportional hazards regression analysis of all significant variables showed Robson stage, tumor ploidy, and MR to be independent, significant predictors of outcome. If ploidy data had not been available, WNG would have been independently significant. The authors conclude that DNA ploidy analysis provides significant predictive information on renal cell carcinoma.