Literature DB >> 1717131

Characterization of conservatively resected renal tumors using automated image analysis DNA cytometry.

M Stöckle1, S Störkel, R Mielke, F Steinbach, H el-Damanhoury, G Voges, R Hohenfellner.   

Abstract

The DNA histograms of 57 conservatively resected renal tumors were studied using automated image analysis DNA cytometry (Leytas II). Forty-nine of the analyzed tumors were renal cell carcinomas, six were oncocytomas, one was an angiomyolipoma, and one was a renal cell adenoma. On the basis of their DNA histograms, diploid, tetraploid, and aneuploid tumors could be distinguished. Aneuploid tumors could be subtyped further according to the DNA content of the stem cell line as hyperdiploid, hypertriploid, or hypertetraploid. Eight of the tumors were characterized by a combination of diploid and hypertriploid stem cell lines. During a mean follow-up of 5 years, only the two patients with a pure hypertriploid tumor died of distant metastases. These results indicate that automated DNA image analysis cytometry is able to differentiate among several types of renal tumors with obviously different prognoses.

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Year:  1991        PMID: 1717131     DOI: 10.1002/1097-0142(19911101)68:9<1926::aid-cncr2820680914>3.0.co;2-n

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


  3 in total

1.  Nuclear morphometry and DNA densitometry of human gliomas by image analysis.

Authors:  Y Yoshii; A Saito; T Nose
Journal:  J Neurooncol       Date:  1995-10       Impact factor: 4.130

2.  Automated image analysis DNA cytometry in testicular cancer.

Authors:  R A Bürger; U Witzsch; H Engel; D Potratz; M Stöckle
Journal:  Urol Res       Date:  1994

3.  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

  3 in total

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