Premium
Characterization of conservatively resected renal tumors using automated image analysis DNA cytometry
Author(s) -
Stöckle M.,
Störkel S.,
Mielke R.,
Steinbach F.,
ElDamanhoury H.,
Voges G.,
Hohenfellner R.
Publication year - 1991
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(19911101)68:9<1926::aid-cncr2820680914>3.0.co;2-n
Subject(s) - pathology , angiomyolipoma , renal cell carcinoma , medicine , dna , cytometry , adenoma , flow cytometry , cell , kidney , biology , immunology , genetics
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.