Renal cell carcinoma. A clinicopathologic and dna flow cytometric analysis of 103 cases

David J. Grignon, Alberto G. Ayala, Adel El‐Naggar, Kenneth I. Wishnow, Jae Y. Ro, David A. Swanson, Donia McLemore, Geoffrey G. Giacco, Vincent F. Guinee

Research output: Contribution to journalArticlepeer-review

90 Scopus citations


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 formulin-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 was 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 association 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.

Original languageEnglish (US)
Pages (from-to)2133-2140
Number of pages8
Issue number10
StatePublished - Nov 15 1989

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


Dive into the research topics of 'Renal cell carcinoma. A clinicopathologic and dna flow cytometric analysis of 103 cases'. Together they form a unique fingerprint.

Cite this