Literature DB >> 2917319

DNA flow cytometry as a predictor of outcome of stage I renal cell carcinoma.

D J Grignon1, A el-Naggar, L K Green, A G Ayala, J Y Ro, D A Swanson, P Troncoso, D McLemore, G G Giacco, V F Guinee.   

Abstract

The features most frequently used in predicting the outcome of renal cell carcinoma are stage at presentation and nuclear grade. Recently DNA ploidy pattern, as detected by DNA flow cytometry has also been shown to be predictive. In this study DNA flow cytometry was performed on formalin-fixed paraffin-embedded tissue from 50 patients with Stage I renal cell carcinoma for whom long-term follow-up data were available. Two were eliminated for technical reasons. Of the 48 evaluable tumors, 25 (52%) were diploid, 19 (40%) were nondiploid, and in four, (8%) the ploidy was uncertain. The ploidy pattern was statistically significantly associated with nuclear grade (P less than 0.02), and primary tumor size (P less than 0.05) but did not correlate with cell type, microscopic growth pattern, or the presence or absence of mitotic activity. In the group as a whole, ten patients (21%) died of renal cell carcinoma, seven of 19 (37%) with nondiploid tumor patterns, and two of 25 (8%) with a diploid pattern (P less than 0.03). One of four patients (25%) with tumors of uncertain ploidy also died. However, only two factors, nuclear grade and primary tumor size, were independent predictors of outcome. For Stage I renal cell carcinoma, ploidy can significantly predict patient outcome and correlates with nuclear grade and tumor size, but is not an independent predictive variable.

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Year:  1989        PMID: 2917319     DOI: 10.1002/1097-0142(19890315)63:6<1161::aid-cncr2820630620>3.0.co;2-n

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  6 in total

Review 1.  Tumors of the kidney, ureter, and bladder.

Authors:  W A See; R D Williams
Journal:  West J Med       Date:  1992-05

2.  Expression levels of genes that regulate metastasis and angiogenesis correlate with advanced pathological stage of renal cell carcinoma.

Authors:  J W Slaton; K Inoue; P Perrotte; A K El-Naggar; D A Swanson; I J Fidler; C P Dinney
Journal:  Am J Pathol       Date:  2001-02       Impact factor: 4.307

3.  Heterogeneity and progression of renal cell carcinomas as revealed by DNA cytofluorometry and the significance of the presence of polyploid cells.

Authors:  M Kushima; R Kushima; T Hattori; T Tomoyoshi
Journal:  Urol Res       Date:  1995

4.  Acridine orange flow cytometric analysis of renal cell carcinoma. Clinicopathologic implications of RNA content.

Authors:  A K el-Naggar; J G Batsakis; K Teague; G Giacco; V F Guinee; D Swanson
Journal:  Am J Pathol       Date:  1990-08       Impact factor: 4.307

5.  Comparison of flow and static image cytometry in the determination of ploidy.

Authors:  D Lanigan; P A McLean; B Curran; M Leader
Journal:  J Clin Pathol       Date:  1993-02       Impact factor: 3.411

6.  A non-diploid DNA status is linked to poor prognosis in renal cell cancer.

Authors:  Franziska Büscheck; Christoph Fraune; Martina Kluth; Maximilian Lennartz; Ronald Simon; Claudia Hube-Magg; Christian Morlock; Silvano Barbieri; Carolin Wahl; Christian Eichelberg; Christina Möller-Koop; Doris Höflmayer; Corinna Wittmer; Waldemar Wilczak; Guido Sauter; Margit Fisch; Till Eichenauer; Michael Rink
Journal:  World J Urol       Date:  2020-05-02       Impact factor: 4.226

  6 in total

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